Monday, July 7, 2025
Home Blog Page 1388

Researchers uncover over 20 vulnerabilities in MLOps platforms, jeopardizing AI model deployment security.

admin
-
0
Researchers uncover over 20 vulnerabilities in MLOps platforms, jeopardizing AI model deployment security.

Researchers caution about the risks within the machine learning software supply chain after identifying over 20 vulnerabilities that can be exploited to target MLOps platforms, highlighting potential safety dangers.

These inherent and implementation-based flaws in vulnerabilities could have severe consequences, including the potential for arbitrary code execution or the introduction of malicious data sets.

ML ops platforms empower the creation and execution of machine learning model pipelines, featuring a model registry as a centralised repository for storing and version-controlling trained models. These fashion designs can be seamlessly integrated into a software application or made accessible for other users to query through an Application Programming Interface (API), effectively transforming the models into a service that can be leveraged and utilized.

“Inherent vulnerabilities are flaws stemming from the fundamental codec and process architecture of a given field or technology, according to a comprehensive report by JFrog researchers.”

Inherent vulnerabilities include exploiting machine learning models to execute attacker-controlled code, leveraging the fact that models enable automated code execution upon loading, for instance.

This habit also extends to certain dataset formats and libraries, permitting automated code execution upon loading a publicly available dataset, potentially enabling the introduction of malware attacks when simply loading a publicly accessible dataset?

JupyterLab, formerly known as Jupyter Notebook, is a web-based interactive computing environment that enables users to execute blocks or cells of code and visualize their outputs.

The researchers pinpointed a fundamental challenge that often escapes attention: navigating HTML output while working with code blocks in Jupyter notebooks. The output of your Python code may well generate HTML and JavaScript, which is likely to be successfully rendered by your browser.

The concern lies in the fact that the executed JavaScript consequence is not properly isolated from the parent internet software, thereby enabling the parent to execute arbitrary Python code without restriction.

An assailant could potentially embed harmful JavaScript code in a JupyterLab notebook, creating a fresh cell and injecting malicious Python code before executing it. In many cases, exploiting a cross-site scripting (XSS) vulnerability is indeed significant.

The vulnerability, with a CVSS score of 7.5, stemmed from the lack of proper sanitization when interacting with untrusted inputs, allowing for client-side code execution in JupyterLab.

Researchers underscored a crucial takeaway: ML libraries with XSS vulnerabilities must be treated as potential vectors for arbitrary code execution, given that data scientists may utilize these libraries within Jupyter Notebook environments.

Implementation weaknesses, akin to those found in unauthenticated MLOps platforms, may permit a sophisticated attacker to exploit the ML Pipeline function and gain code execution capabilities through community entry, thereby compromising the security of the system.

Vulnerabilities in software are no longer hypothetical, with malicious actors exploiting these weaknesses for financial gain, exemplified by the instance of unpatched Anyscale Ray (CVSS rating: 9.8) being leveraged to distribute cryptocurrency miners.

A critical container escape vulnerability in Seldon Core enables attackers to bypass code execution constraints, allowing them to move laterally across the cloud environment, access other users’ models, and datasets by deploying a malicious model on the inference server.

The culmination of chaining these vulnerabilities is the potential for attackers to breach corporate systems, spreading far beyond initial infiltration to compromise servers as well.

“When deploying a platform that enables model serving, it’s crucial to recognize that anyone authorized to deploy a new model can potentially execute arbitrary code on that server,” the researchers warned. “Verify that the environment surrounding the mannequin is completely isolated and secured against any potential escape or breach.”

Two newly patched vulnerabilities were identified in Palo Alto Networks’ Unit 42, affecting the open-source LangChain generative AI framework, specifically CVE-2023-46229 and CVE-2023-44467, which if exploited could have enabled attackers to execute arbitrary code or gain unauthorized access to sensitive information.

In the final month, Path of Bits inadvertently introduced a vulnerability to their Ask Astro, an open-source Retrieval Augmented Generation (RAG) chatbot software. This flaw led to chatbot output poisoning, inaccurate document ingestion, and potentially crippling denial-of-service (DoS) attacks.

As concerns about AI’s reliability continue to emerge, malicious actors are exploiting vulnerabilities by contaminating training data with the ultimate goal of deceiving large language models (LLMs) and eliciting flawed responses.

“In contradistinction to current attacks that conceal malicious payloads within detectable or innocuous segments of the code, CodeBreaker exploits Large Language Models (LLMs) like GPT-4 for sophisticated payload transformation, ensuring that both poisoned knowledge and generated code can circumvent robust vulnerability detection.”

Discovered this text fascinating? Observe our platform and stay updated to discover exclusive new content that we regularly submit.

Unlocking Innovative Financing Opportunities Through Artificial Intelligence

admin
-
0
Unlocking Innovative Financing Opportunities Through Artificial Intelligence

Funding banking has become increasingly prevalent, with AI poised to revolutionize financial transactions. Artificial intelligence’s surging momentum has propelled it to become an integral force across multiple industries, far beyond its initial stronghold on the financial sector. Artificial intelligence has transformed financial services by automating a range of processes, including buying and selling transactions, as well as providing enhanced customer support. Discover how Artificial Intelligence revolutionizes Financial Services by transforming the way banks and financial institutions operate?

Artificial intelligence is revolutionizing the way banking institutions think about funding by uncovering new and innovative alternatives. Traditionally, banks have relied on traditional sources of capital such as deposits and loans from other financial institutions. However, with the advent of AI, they are now able to tap into a vast array of alternative funding options that were previously inaccessible.

One of the most significant advantages of using AI in banking is its ability to process vast amounts of data quickly and accurately. This allows banks to make more informed decisions about where to invest their capital and who to lend to. By analyzing large datasets, AI algorithms can identify trends and patterns that may not be immediately apparent to human analysts.

For instance, AI-powered predictive analytics can help banks forecast cash flow and credit risk more effectively. This enables them to make more informed lending decisions, reducing the risk of defaults and losses. Additionally, AI can help banks optimize their capital allocation by identifying the most profitable investment opportunities.

Another significant advantage of using AI in banking is its ability to streamline processes and reduce costs. By automating routine tasks and decision-making, AI can free up human resources to focus on more strategic and creative activities. This not only reduces costs but also improves efficiency and accuracy.

Moreover, AI-powered chatbots are revolutionizing the way customers interact with banks. These intelligent virtual assistants can provide personalized customer service, answer frequently asked questions, and even help customers complete transactions online. By leveraging AI in this way, banks can improve customer satisfaction and loyalty while reducing operational costs.

In conclusion, AI is transforming the banking industry by uncovering new alternatives for funding. Its ability to process large datasets quickly and accurately makes it an invaluable tool for making informed decisions about capital allocation and risk management. Additionally, AI-powered chatbots are revolutionizing customer service, enabling banks to provide personalized support while reducing operational costs.

SKIP

Artificial intelligence can facilitate front office groups in uncovering novel financing opportunities and solutions.

Synthetic intelligence’s primary function is to evaluate knowledge. Given the cognitive limitations of human brains, we’re only capable of processing a limited amount of information, making us suboptimal at anticipating trends or responding to shifting consumer preferences. Although AI offers a potential solution, its application may still require further refinement to effectively address the entire pipeline’s drawbacks and maximize the likelihood of successful outcomes.

When utilizing consultants to create new alternatives, they focus on three key areas:

1. Fraud Detection

Artificial intelligence enables swift and effective fraud detection by continuously monitoring transactions, identifying anomalies, and alerting relevant authorities to potential fraudulent activities. By leveraging cutting-edge artificial intelligence technology, investment banking can effectively employ AI to identify and mitigate fraudulent activities. Artificial intelligence and machine learning enable banks to proactively identify scams, minimize risk, pinpoint vulnerabilities in their systems, and enhance the overall security of online banking.

The solution enables financial institutions to swiftly detect and flag potentially illicit activities, thereby preventing the occurrence of cash laundering and fraudulent transactions in real-time. The system flags high-risk transactions for manual review by experienced consultants. This enables proactive risk management and ensures compliance with regulatory requirements.

2. Automated Buying and selling & Algorithmic Buying and selling

Artificial intelligence algorithms are capable of processing immense amounts of data, identifying complex patterns, and making autonomous trading decisions. Financial institutions frequently rely on AI-driven models to manage their investment portfolios and facilitate trading activities. Algorithms continuously track market fluctuations and make instantaneous decisions to optimize funding results.

3. Information Monitoring and Sentiment Evaluation

Funding institutions can leverage AI’s capabilities to scrutinize information from diverse sources, including news articles, social media, and other relevant platforms, thereby empowering them to make informed investment decisions by accurately gauging market sentiment. A leading global investment bank leverages AI-driven algorithms to monitor social media sentiment and news in real-time, enabling its analysts and traders to stay informed about market developments at all times. The algorithms incorporate weights to the knowledge and grade it according to its availability.

 

4. Cyber Risk Detection

Artificial intelligence enables banks to detect cyber-attacks in real-time, allowing for swift responses before attacks can compromise employee, customer, or infrastructure security. Machine learning’s supervised approach has reached a point where it can effectively detect malware.

A cutting-edge software leveraging advanced learning tools continuously identifies and detects malicious files with pinpoint accuracy. An advanced cyber security AI identifies anomalies in communication protocols, signaling potential threats to data integrity. Synthetic intelligence leverages machine learning algorithms to proactively monitor networks, identify and neutralize malicious code, and prevent data breaches.

Banks can leverage artificial intelligence to proactively combat emerging cyber threats. A comprehensive analysis enabled the financial institution to boost its capacity to identify fraudulent activity by a significant 50%, while concurrently reducing the number of incorrect alerts, or false positives, by an impressive 60%. The AI-powered fraud detection system seamlessly automated multiple critical findings. The “Black Forest” AI system identifies anomalous financial transactions and highlights unusual patterns. The AI is poised to accurately categorise transactions, isolating those that pose a genuine security threat and recording them exclusively.

 

5. Chatbots for Buyer Service

AI-powered laptop-controlled chatbots efficiently facilitate seamless client interactions, providing instant answers to queries, personalized financial solutions, and intuitive conversation flow. Companies leverage chatbots and various synthetic intelligence-driven tools to deliver tailored solutions that meet their customers’ evolving needs.

To streamline the Know Your Consumer process, consider leveraging AI-driven technologies to efficiently verify and authenticate identities, thereby enhancing transparency and reducing fraudulent activities. The accuracy of facial recognition relies on the quality and uniqueness of an individual’s eye and facial features. Chatbots significantly enhance AI in the financial services industry by streamlining customer service, reducing regulatory burdens, and providing transparent guidance.

 

6. Reporting on Regulatory Issues

Establishments subject to regulatory oversight are mandated to conduct stress tests to assess their ability to absorb losses during periods of financial strain, ensuring they can continue to extend credit and fulfill their commitments to creditors while maintaining the capacity to operate sustainably. Artificial intelligence-driven fashion simulations capable of mimicking adverse market conditions can help teams meet the demands of rigorous stress testing. By combining cutting-edge expertise with accurate insights, the innovative designs take into account past experiences, current market trends, and potential risks to craft these sophisticated simulations. Synthetic intelligence can generate draft variations of technical documents, such as audit and environmental reports.

Conclusion

Artificial intelligence integration has significantly impacted the fundamental dynamics of financial institutions, prompting crucial adaptations and revaluations. Artificial intelligence has revolutionized the professional paths of funding banks, transforming how they operate and collaborate with clients.

As technological advancements in AI accelerate, funding banks must proactively adapt to its innovative offerings and paradigm-shifting implications. Funding banks are at the vanguard of AI’s future, embracing ethical principles and ensuring conformity to regulatory requirements in order to drive innovation while maintaining a strong sense of responsibility.

The first thing that went up appeared on site.

Technology’s steady march forward has led to a plethora of innovations that have transformed the way businesses operate, interact with customers and manage their operations. As the digital landscape continues to shift, companies must adapt and stay ahead of the curve by embracing cutting-edge solutions that streamline processes, enhance productivity and drive growth.

admin
-
0
Technology’s steady march forward has led to a plethora of innovations that have transformed the way businesses operate, interact with customers and manage their operations. As the digital landscape continues to shift, companies must adapt and stay ahead of the curve by embracing cutting-edge solutions that streamline processes, enhance productivity and drive growth.

As the pace of technological advancements accelerates, it’s easy to fall prey to the misconception that every new trend and innovation demands immediate attention. Ten years ago, it was… At this time it’s . Promises were made to diversify everything consistently. Despite AWS’s dominance in generating a $100 billion run rate fee and its widespread adoption in enterprise IT, the vast majority of corporate IT expenditure – approximately 90% – remains firmly entrenched on-premises. While generative AI does deliver on its promises amidst the fervor surrounding this technology, it remains a relatively minor player in the broader landscape of enterprise IT investments.

As you initiate a bout of anxiety about the prospect of falling behind in your business, pause to consider the rapid pace at which industry preferences for programming languages and databases shift.

The persistence of Java

Around a decade ago, developers created several new programming languages. What programming languages are popular among developers? Go, TypeScript, CoffeeScript, F#, Dart, and others. By 2024, the top four spots on the recognition charts remain unchanged, with, and vying for dominance. When a language initially breaks through barriers and discovers persistent, rising success, unlike most others, it’s actually an anomaly rather than the norm. According to Steve O’Grady at RedMonk, the top five programming languages displayed little movement, with less than a third of the top 20 languages experiencing any change, indicating an environment resistant to change.

Forecasting El Niño-Southern Oscillation (ENSO)

admin
-
0
Forecasting El Niño-Southern Oscillation (ENSO)

Today, we employ the convolutional LSTM (ConvLSTM) in submissions to forecast.

The El Niño-Southern Oscillation (ENSO) is a complex weather pattern characterized by fluctuations in sea surface temperatures and atmospheric pressure over the equatorial Pacific Ocean. While El Niño is undoubtedly the most well-known of the three general states, El Niño occurs when sea surface temperatures in the equatorial Pacific exceed normal levels, accompanied by abnormally weak trade winds that typically blow from east to west. During periods of unusual climate patterns, a phenomenon known as La Niña occurs. All components falling between are evaluated as standard.

El Niño-Southern Oscillation (ENSO) exerts a profound impact on global climate patterns, frequently wreaking havoc on ecosystems and societies through catastrophic events such as powerful storms, devastating droughts, and destructive flooding, ultimately precipitating food shortages and economic crises. Societies striving for perfection should at most endeavour to accommodate and temper the severity of severe consequences. Correct forecasting facilitates enhanced outcomes, with increased accuracy benefiting from advanced timing.

Here, deep learning can undoubtedly excel: By leveraging variables such as sea floor temperatures and pressures, presented on a spatial grid mirroring the Earth’s surface, DL can effectively extract spatial patterns and features, exemplifying its capabilities in processing image-like data. While convolutional neural networks and convolutional-recurrent hybrids have been commonly employed for ENSO prediction, Here’s an enhanced version: Our novel hybrid, the convLSTM, processes sequences of options defined on a spatial grid in a seamless manner. Today, we will train a model for predicting ENSO events. Should this model feature a Convolutional Long Short-Term Memory (ConvLSTM) at its core?

Before we start, please note that… While our model aligns well with architectural descriptions in corresponding research papers, a similar consistency cannot be claimed for the amount of training data employed. Due to practical constraints, we rely exclusively on meticulous observation data, which leads to a relatively limited dataset that fails to meet the demands of our task. In contrast, research papers utilizing climate simulations tend to yield significantly more data for analysis.

Initially, we do not expect exceptional productivity. However, this could make for a captivating case study, providing a valuable code template for our readers to apply to their own knowledge bases.

We will attempt to forecast monthly changes in sea floor temperatures within the Niño 3.4 region, which is represented by the Niño 3.4 Index, and classify them as El Niño (1), Neutral (+), or La Niña (-). Predictions are often founded on historical monthly sea floor temperature data covering a significant global area.

On the entire facet, publicly available and easily accessible knowledge can also be downloaded directly. As for prediction targets, we obtain indexes and classifications efficiently.

Knowledge and goals are supplied on a monthly basis. The two timelines converge within a specific timeframe spanning from January 1, 1891, to August 31, 2020; consequently, this range will serve as our focus for further examination.

Enter: Sea Floor Temperatures

Sea floor temperatures are presented as monthly averages in a 1°-resolution latitude-longitude grid. Particular details regarding the processing of this information are available.

Data files contain knowledge records in a specific format; each file holds average values calculated for a single month. We will acquire specific individual records or data for retrieval. If you desire to adhere to the submission guidelines, you will find the contents of the text file I prepared in the accompanying attachment. When you’ve saved these URLs to a file, you can then use R to retrieve the records data for your desired URLs in this manner:

Using R, one can learn GRIB records using read.grib(). For instance:

What is the size of the largest GRB in terms of its total energy release?   Descriptive Statistics: Mean=-274.9; First Quartile=-272.8; Median=-259.1; Mode=-260.0 (implied); Third Quartile=-248.4; Maximum= unknown.   :-242.8: Coordinate Reference System Information NA's (Not Applicable): 21,001 Dimension(s):   From         To   Offset Delta  Refsys Level Values   x           1 360        0      1 Coordinate System imported from EPSG...    What are the coordinates of a point in a 3D space with a null or unknown axis NA, where x is equal to 1 and y is equal to 180, but z has no value specified, only a range from 90 to -1?    NA   NULL [y]

Here is the rewritten text: So, this GRIB file now features a single attribute, widely recognized as sea floor temperature, presented in a 2D grid format. As to the latter, we are able to complement what is missing from a customer’s perspective. stars New evidence has emerged, revealing even greater insights into the matter.

The east-west grid lines extend from 0.5° East to 0.5° West, while the north-south grid lines run from 89.5° South to 89.5° North.

We are aware that several matters will require attention in light of this information. The temperatures are given in Kelvin, but with a misleading notation that suggests they are in Celsius or Fahrenheit, as the negative signs are commonly used to indicate cold temperatures in those scales, rather than being a part of the absolute temperature scale of Kelvin. We will convert the temperature readings to comfortable Celsius levels. What steps will we need to take in order to address this issue effectively? NAIt appears that such formatting applies to all non-maritime coordinates?

Before proceeding, it is essential to consolidate data from all records into a unified knowledge base. This feature adds a new layer of depth, allowing users to explore historical events and trends across nearly 130 years, from January 1, 1891 to January 12, 2020.

 
 Stellar objects possess three fundamental dimensions: length, width, and depth. Preliminary analysis reveals an abstract pattern within the first 100,000 cell structures in the sst189101.grb dataset, characterized by a minimum value of...   Statistics Summary: Minimum: -274.9 First Quartile (Q1): -273.3 Median: -258.8 Implied Mean: -260.0 Third Quartile (Q3): -247.8 Maximum: ...    :-242.8 NA's: 33,724 Dimensions: From: 1 To: 360 Offset: 0 Delta: 1 Reference System: Level: Coordinate System imported from...    What are the coordinates of the NULL point in a NULL system?    What is the date range for the 'Date' column?

Let’s visualize the spatial patterns of monthly temperature fluctuations across the globe in 2020.
Monthly sea surface temperatures, 2020/01/01 - 2020/01/12.

Determining Monthly Sea Floor Temperatures: January 1-12, 2020.

Goal: Niño 3.4 Index

The Niño 3.4 Index reveals its month-to-month dynamics, with our focus narrowing to two specific options: examining the index’s values directly within a column. NINO34_MEAN) and PHASE, which will be E (El Niño), L (La Niño) or N (impartial).

 
1556

As a next step, we explore methods to structure data in a usable format for training and forecasting purposes.

Enter

While first taking away all enter knowledge for deadlines, the lack of reality knowledge on the floor is still a pressing concern.

Following We exclusively employ grid factors within a latitude range of 55° south to 60° north. This method offers an additional advantage by reducing the need for memory recall.

 
360, 115, 1560

With our current understanding, it’s challenging to make sweeping predictions or draw far-reaching conclusions. Notwithstanding, we set aside a limited amount of data for verification purposes, as we aim to provide a comprehensive template that can be applied to larger datasets.

From this point forward, we will utilize R arrays.

While converting to Celsius is not crucial, our initial tests suggest that standardising the input can lead to a marginal increase in performance. Despite this, Celsius remains a more pleasing name to many individuals than Kelvin does.

 
     0%     0.24975     0.51875     0.78200     1.00000  -1.80    12.99925    21.87825    26.82175    34.37175

As expected, the unmistakable evidence of global warming emerges when examining temperature trends on the validation set, which covers the past three decades.

 
     0%     25%    50%    75%   100% −1.80   13.43   22.34   27.24   34.87

The final step before analysis normalises each unit based on its mean and standard deviation.

What should we ultimately decide regarding NA entries? The coaching staff implies that we set them to zero. While that initial momentum may be insufficient, it’s crucial we’re providing the community with accurate information; feeding them roughly 30% false data is unacceptable. We’ve yet to achieve success in that specific area.

Goal

Knowledge is fragmented in a manner that resembles an analogy. Is there a uniform distribution of categories across all units, without any notable disparities or biases?

 
# A tibble: 3 x 4 # Teams:   phase_code [3]   phase_code PHASE rely   avg        <dbl> <chr> <int> <dbl> 1          1 E       301  27.7 2          2 L       333  25.6 3          3 N       554  26.7
# A tibble: 3 x 4 # Teams:   phase_code [3]   phase_code PHASE rely   avg        <dbl> <chr> <int> <dbl> 1          1 E        93  28.1 2          2 L        93  25.9 3          3 N       182  27.2

This doesn’t look too unhealthy. As evident from our data, a consistent increase in temperature is observable across all sections.

Finally, we normalize the index, just as we did for the entire knowledge.

On to the torch dataset.

The dataset is responsible for accurately pairing inputs with targets.

Our primary goal is to leverage a six-month dataset of global sea floor temperatures to forecast the Niño 3.4 Index for the upcoming month, thereby providing valuable insights into this critical climate indicator. Will the artificial model effectively predict forthcoming semantic structures?

batch_size × timesteps × height × peak_value × channels, the place

  • batch_size Are all observations processed simultaneously within a single iteration of computational rounds?

  • timesteps combines sequential observations across adjacent months

  • width and peak Represented collectively in a spatial grid format,

  • channels aligns with perceivable visual pathways within a given image.

In .getitem()We select consecutive observations starting from a specified point and concatenate them along the first axis. One batch will come into existence as soon as the dataloader comes into play.)

What lies ahead in terms of the objective? The primary goal was to accurately predict the Niño 3.4 Index. Notwithstanding, as you observe, we outline three targets: one being the index, as anticipated; another contains spatially gridded sea floor temperatures for the predictive month. Why? Our key instrument is the convolutional long short-term memory (convLSTM), a unique component that drives our model’s predictive capabilities forward. To coach an AI model effectively, we must enable it to predict values on a spatial grid, thereby granting it the opportunity to learn and improve its forecasting capabilities. Up until now, the progress has been impressive; however, another objective remains – the section or class. This addition may enhance predictive capabilities and potentially inform coaching decisions.

Lastly, below is the code for the dataset. Throughout our testing regimen, we predominantly relied on input data stemming from the preceding half-year.n_timesteps <- 6). Although this can be a parameter you may need to play with, consider potential adjustments.

Following the customization of the dataset, a standard procedure ensues – namely, the creation of dataloaderMaking use of a batch measurement that totals 4.

Subsequently, we move on to creating a mannequin.

What is the purpose of the mannequin’s essential component being the Convolutional Long Short-Term Memory (ConvLSTM) model introduced in a specific publication? The code is reproduced in its entirety within the appendix for reader convenience.

Additionally, the model incorporates a convLSTM module that leverages three convolutional layers, a batch normalization layer, and five linear layers. The logic is the next.

The primary objective of the Convolutional Long Short-Term Memory (ConvLSTM) model is to predict forthcoming monthly sea floor temperature values at specific spatial locations on a predetermined grid? Without attempting to understand or manipulate its inner nature, – precisely: Our process consists of self$conv1 To consolidate the number of channels to a single option.

To accurately predict index and section, we must first flatten the grid into a single value for each cell. This is where additional convolutional layers are accessible. We hope that they will assist us in our studies; nonetheless, we must also consider reducing the number of parameters slightly, which would involve downsizing the grid.strides = 2 and strides = 3Earlier than the event. torch_flatten().

As our current architecture allows for a flat design, research is distributed between two key responsibilities: indexing and sectional forecasting.self$linearAs time went on, their routes diverged.self$cont and self$catResp.) typically produce individual outputs.

(The batchnorm? I’ll discuss that later.)

We subsequently create a relatively diminutive prototype. Feel free to explore larger formats; though, you should anticipate increased training times and GPU memory demands as a result.

 
An `nn_module` containing 2,389,605 parameters. ── Modules ─────────────────────────────────────────────────────────────────────────────── ● convlstm: <nn_module> #182,080 parameters ● conv1: <nn_conv2d> #801 parameters ● conv2: <nn_conv2d> #25,632 parameters ● conv3: <nn_conv2d> #25,632 parameters ● linear: <nn_linear> #2,138,176 parameters ● b1: <nn_batch_norm1d> #128 parameters ● cont: <nn_linear> #8,320 parameters ● cat: <nn_linear> #8,320 parameters ● cont_output: <nn_linear> #129 parameters ● cat_output: <nn_linear> #387 parameters

We’ve got three mannequin outputs. What are the costs we should combine?

Given that the primary objective is predicting the index, and the opposing two outputs serve as secondary means to achieve this goal, I found that the subsequent combination proved somewhat effective:

# weight for sea floor temperature prediction lw_sst <- 0.2 # weight for prediction of El Nino 3.4 Index lw_temp <- 0.4 # weight for section prediction lw_nino <- 0.4

The coaching curriculum follows the standard template commonly observed in every instance. torch Posts to this point: For each epoch, we iterate through the training set, propagate errors backwards, and evaluate our model’s performance on the validation set.

Following our pre-processing steps, a critical issue emerged: the absence of temperature data for continental regions, which we initially defaulted to zero degrees Celsius. As a singular indicator, this approach is glaringly insufficient. What if we had opted for latitude-dependent averages in our analysis instead? Or interpolation? While each has its unique advantages, they also come with their own set of challenges and drawbacks. By refraining from allocating those pixels to spatial loss calculations, we can at least mitigate the negative consequences associated with their use. The necessary arrangements are made to accommodate this requirement.

Here is the entire coaching code, a comprehensive guide outlining the principles and best practices for coaches working with clients to achieve their goals and overcome challenges.

As I implemented this update, performance on the training dataset slowed down gradually, while metrics for the validation set remained unpredictable and varied. Complete (composite) losses appeared in this format:

Epoch Coaching Validation 10      0.336       0.633 20      0.233       0.295 30      0.135       0.461 40      0.099       0.903 50      0.061       0.727

The consideration of the validation set’s dimensions – spanning three decades or approximately 372 knowledge factors – is likely to elicit no great surprise given these variations.

Losses are typically summarized, but let’s examine what predictions will actually come to pass. Predictions are received for index values and phases in the following manner:

Utilizing the fusion of disparate elements with the underlying truth, we eliminate the superfluous topmost layers – specifically, the initial six temporal intervals utilized as predictive models.

We successfully produce a confusion matrix.

          Fact | Prediction | Score -----|-----------|------    1 |        70 |    0 |     43    2 |        0 |    47 |     10    3 |       23 |    46 |    123

Given the significant losses, this performance seems unexpectedly strong. Phases one and two are distinctly correlated with El Niño and La Niña, respectively, displaying a clear dichotomy between the two.

The Niño 3.4 Index, a widely used measure of El Niño-Southern Oscillation (ENSO), tracks sea surface temperature anomalies in the central Pacific Ocean. Does this phenomenon influence global climate patterns, particularly affecting rainfall and atmospheric circulation in various regions? Predictions are plotted against floor realities.
Nino 3.4 Index: Ground truth vs. predictions (validation set).

Determination of the Nino 3.4 Index: A Comparative Analysis of Reality and Predictions (Validation Set).

This doesn’t look unhealthy both. Notwithstanding this limitation, it remains essential to grasp that our predictions are confined to a solitary future moment. It’s crucial to temper our expectations and avoid overestimating the potential benefits. This subtle transition sets the stage for the ensuing conversation.

Discovering significant insights often requires minimal initial data when employing rapid exploration techniques for small datasets. Despite these complexities, it is essential to exercise caution in drawing conclusions.

While established regularizers like batch normalization and dropout are designed to improve generalization to the validation set, they can inadvertently hinder training itself if not used judiciously. The sole survivor of my pruning efforts was that lone BatchNorm layer; in fact, I made an effort to have more extras on hand, as it’s not uncommon for there to be no Dropout present.

A crucial takeaway is that the volume of knowledge should align with the intricacy of the task in order to ensure successful execution. These are the findings that appear in published ENSO prediction studies available on the arXiv platform.

If we’re consistently forced to mitigate the consequences of uncertainty, what’s the point in sharing our findings at all?

By leveraging the power of Convolutional Long Short-Term Memory (convLSTM), this application showcases its practical value in real-world scenarios, demonstrating innovative approaches such as tailored losses and loss masking techniques. Relevant comparable architectures and techniques must be applicable to a diverse range of real-world tasks, primarily involving spatiotemporal forecasts delivered on a grid-based layout.

By leveraging deep learning algorithms, researchers can effectively forecast atmospheric phenomena that have profound implications for both ecosystem health and human well-being, demonstrating the vast potential of this technology. The proliferation of purposes with such far-reaching consequences highlights the urgent need to regulate their use effectively, lest they compromise the integrity of our collective knowledge base.

Thanks for studying!

A1: Listing of GRB recordsdata

To enable seamless integration into a textual content file for usage with purrr::stroll( … obtain.file … ).

https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1891-1899/sst189912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1900-1909/sst190912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1910-1919/sst191912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1920-1929/sst192912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1930-1939/sst193912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1940-1949/sst194912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1950-1959/sst195912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1960-1969/sst196912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1970-1979/sst197912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1980-1989/sst198912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/1990-1999/sst199912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2000-2009/sst200912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201012.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201101.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201102.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201103.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201104.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201105.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201106.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201107.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201108.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201109.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201110.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201111.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201112.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201201.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201202.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201203.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201204.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201205.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201206.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201207.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201208.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201209.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201210.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201211.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201212.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201301.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201302.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201303.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201304.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201305.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201306.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201307.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201308.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201309.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201310.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201311.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201312.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201401.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201402.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201403.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201404.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201405.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201406.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201407.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201408.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201409.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201410.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201411.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201412.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201501.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201502.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201503.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201504.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201505.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201506.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201507.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201508.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201509.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201510.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201511.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201512.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201601.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201602.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201603.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201604.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201605.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201606.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201607.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201608.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201609.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201610.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201611.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201612.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201701.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201702.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201703.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201704.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201705.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201706.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201707.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201708.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201709.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201710.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201711.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201712.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201801.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201802.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201803.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201804.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201805.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201806.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201807.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201808.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201809.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201810.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201811.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201812.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201901.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201902.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201903.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201904.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201905.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201906.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201907.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201908.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201909.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201910.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201911.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2010-2019/sst201912.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202001.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202002.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202003.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202004.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202005.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202006.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202007.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202008.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202009.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202010.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202011.grb https://ds.knowledge.jma.go.jp/tcc/tcc/merchandise/elnino/cobesst/gpvdata/2020-2029/sst202012.grb

A2: convlstm code

For an in-depth clarification of convlstm, see .
Ham, G.-Y., Kim, J.-H., & Luo, J.-J. 2019b. 573 (7775): 568–72. .
———. 2019a. 573 (7775): 568–72. .

Unbeatable August Deals Unfold – Score Exclusive Discounts on Premium FPV Gear from Banggood!

admin
-
0
Unbeatable August Deals Unfold – Score Exclusive Discounts on Premium FPV Gear from Banggood!

I recently browsed through Banggood’s extensive FPV product catalog and meticulously selected a few items that caught my attention, requesting special coupons and discounts in order to share these exciting deals with all of you. I hope you find these gross sales useful! The publication is proudly sponsored by Banggood.

Some of the links on this webpage serve as affiliate connections. You’ll receive a fee (at no additional cost to you) when you place an order following a click on one of these affiliate links, I obtain a fee. This assistance aims to enhance the quality of freely available content within our community on this website. Learn more about us for additional data.

  • Coupon Code: BG64a97b
  • Code Value: $19.99
  • Exp: thirtieth September 2024

With its intuitive design and user-friendly application process, the Flywoo X30 Superhydrophobic Spray offers a practical solution for adding a water-resistant coating to your electronic devices. While lacking the conventional conformal coating’s robustness and comprehensive waterproofing, this option truly shines in scenarios where simplicity of application and immediate protection take precedence. Try my testing right here:

  • Coupon Code: BG1198f9
  • Code Value: $94.99
  • Exp: thirtieth September 2024

The BetaFPV Air65 is an exceptionally light and agile tiny whoop drone, boasting a compact 65mm wheelbase and a remarkably low weight of just 17.1 grams? The package includes an ExpressLRS receiver, a 400-milliwatt Variable Transmission eXperiment (VTX), and two distinct motor configurations with varying Kv ratings. Despite its compact size, this device delivers impressive performance and maneuverability. Here’s an improved version: You will discover an exceptionally refined PID/filter tune within my evaluation designed to maximize its performance. For those prioritizing efficiency and compactness, the Air65 is well-suited. To gain a more comprehensive understanding of this post, consider the following analysis: 

  • Coupon Code: BG8efb4f
  • Code Value: $94.99
  • Exp: thirtieth September 2024

The BetaFPV Air75 is a standout 75mm BNF tiny whoop drone, boasting impressive performance and features. Its lightweight design, exceptional flight time, and robust efficiency make it an ideal choice for both novice and experienced pilots. At an unbeatable price point of $95, it’s challenging to find a superior option in this category; I wholeheartedly recommend it to anyone seeking a high-performance 1S 75mm whoop. Please see our comprehensive review of the Air 75 for a detailed evaluation. 

  • Coupon Code:
  • Code Value: From $229.99
  • Exp: thirtieth September 2024

For $199, the Walksnail Goggles provide exceptional value, combining outstanding stability, quality, and affordability to make digital FPV more accessible to a broader audience. While the Goggles may not offer all the premium features that come with the superior options, they still manage to provide an impressive level of efficiency, making them a reliable and budget-friendly choice for those looking to dip their toes into the digital FPV realm without breaking the bank. What additional insights do you hope to gain from this evaluation?

  • Coupon Code: BGf0b3fc
  • Code Value: $70
  • Exp: thirtieth September 2024

The ToolkitRC P200 V2 appears to be an enhanced iteration of the original V1, eagerly anticipated by many. With its sleek design, practical features, and consistent performance, this tool is an excellent companion for any enthusiastic FPV user. While it’s still the early stages of my experience with this power supply unit, my initial findings have been promising, leading me to anticipate that it will prove to be as reliable as its appearance suggests. What would you like to know about your evaluation?

  • Coupon Code: BG41f344
  • Code Value: $20.67
  • Exp: thirtieth September 2024

If you’re on the hunt for a reliable GPS device that’s perfect for larger vehicles, the GEPRC M1025 is definitely worth considering. What’s supposed to be huge? The efficiency is worth the investment. For those seeking navigation capabilities, note that the standard M1025 does not come equipped with a built-in compass. If a compass is a must-have feature for your project, consider opting for the M1025Q variant, which is specifically designed for integration with iNav systems and offers this essential component. If cost and size are no concern, this item stands out as one of the best available options. See my GPS testing:

  • Coupon Code: BGe01099
  • Code Value: $65.79
  • Exp: thirtieth September 2024
  • Seeking a budget-friendly FC/ESC combination? The iFlight BLITZ ATF435 offers a cost-effective solution, undercutting its competitors by $9, with the added convenience of not requiring a separate SD card purchase for Blackbox logging.
  • At just 10g lighter, the Blitz stack eclipses the Speedybee F405 V4 in terms of weight-conscious design, its minimalist approach yielding a sleek and agile product.
  • If you intend to power your quadcopter with a 2-cell lithium-polymer (LiPo) battery.
  • For those preferring a solderless arrangement, the JST connectors situated beneath the Blitz stack could prove extremely practical.

To facilitate a comprehensive comparison of our financial framework with that of another prominent finance stack, I invite you to review my latest publication:

Discovering these gross sales tactics is crucial for your business success. If there are specific merchandise you’re looking to acquire at a reduced cost, please let me know and I’ll explore options for the next opportunity.

What drives your passion for supplies chain management and procurement? The journey began with a quest to simplify the complex, manual processes that plagued our company’s supply chain. As an operator myself, I recognized the pain points and inefficiencies that stemmed from disparate systems, manual data entry, and lack of visibility. This sparked my desire to develop Supplies Nexus, a cutting-edge platform designed to streamline procurement and supply chain management for businesses of all sizes.

admin
-
0
What drives your passion for supplies chain management and procurement? The journey began with a quest to simplify the complex, manual processes that plagued our company’s supply chain. As an operator myself, I recognized the pain points and inefficiencies that stemmed from disparate systems, manual data entry, and lack of visibility. This sparked my desire to develop Supplies Nexus, a cutting-edge platform designed to streamline procurement and supply chain management for businesses of all sizes.

Jonathan Bean is the CEO & Co-Founding father of Supplies Nexus. With expertise spanning both theoretical and practical aspects of textile science, Jonathan quickly identified the opportunity to develop a novel materials modeling platform. During his tenure as a researcher at the University of Cambridge, he founded Supplies Nexus to expedite the distribution of cutting-edge supplies and mitigate the devastating impact of local weather disasters.

Jonathan’s PhD research at the University of York focused on developing superior modeling techniques for polycrystalline materials.

As a dual role holder, Jonathan serves as both a key figure at Supplies Nexus and a valued mentor through World Expertise Mentoring, while also participating in the esteemed Leaders in Innovation Fellowships program administered by the prestigious Royal Academy of Engineering. Additionally, he instructs Supply Chain Science for Engineers at Trinity College, Cambridge, and serves as a Visiting Fellow at London South Bank University.

Is a company leveraging AI to produce top-notch products faster than previously possible?

The ultimate limitation on what can be built lies in the materials and resources employed in its construction, which was the driving force behind my exploration of supply chain science. During my tenure at Cambridge University, I collaborated with my co-founder, Robert Forrest, whose shared vision drove our pivot towards developing machine learning algorithms. The foundation of Supplies Nexus’ technological expertise was laid through this experience.

This potential analysis could undoubtedly have a profound and optimistic impact on our planet, necessitating a swift acceleration of its adoption. The efficiency of products is limited by supply, as are our advancements towards a net-zero goal. What specifically caught our attention was the discovery of this innovative company.

As a driving force behind our organization, we are propelled by the urgent imperative to positively impact the world on three interconnected fronts: environmental sustainability, geopolitical stability, and ethical integrity. We aim to transform the supply chain industry by creating innovative products that balance escalating demands for both environmental sustainability and operational efficiency.

Through this identical approach, it also transforms materials discovery, refining what was once a trial-and-error-based methodology into an intentional design process. While pharmaceutical analysis presents its own set of challenges, the search for answers may require a broader range of chemical compounds across the entire periodic table. At Supplies Nexus, our scope extends across the entire materials spectrum, encompassing everything from the quantum realm to bulk materials – a comprehensive approach that goes beyond mere quantum mechanics-based composition prediction, as we also develop models for processing and synthesis methodologies. This permits us to not solely establish, but additionally bodily produce high-performance supplies precisely, in a matter of months reasonably than many years, considerably dashing up the R&D course of.

By leveraging AI for supply chain discovery, organizations can experience significant benefits, including accelerated search times, reduced costs, and environmentally sustainable practices. Our AI-powered platform efficiently processes vast datasets to accurately forecast material properties before laboratory testing, thereby streamlining the process and reducing waste by minimizing the need for costly, resource-heavy experiments. With our platform, previously time-consuming laboratory procedures could potentially be completed within just hours.

This finally unlocks a fresh set of options featuring concentrated resources: “Design” versus discovery. By incorporating customizable parameters such as CO2 emissions, cost, or weight, researchers can actively seek out compositions that meet specific requirements, effectively reversing the traditional “discovery” process.

By harnessing the power of artificial intelligence and machine learning, manufacturers gain access to a vast array of innovative materials through the development process. During the manufacturing process, the impact is twofold: firstly, it stems from the fundamental composition of raw materials, and secondly, from the specific conditions under which they are processed. AI supplies discovery can facilitate identifying and excluding specific areas of high environmental significance, for instance, Uncommon Earth elements may exhibit reduced partitioning into these minerals or scale back their compositional shares. As the technology continues to evolve, it can be used to have a glance at processing methods (for example, What are the specific temperatures, stresses, and impurity levels required to manufacture this fabric while implementing energy-efficient methods? The quality and quantity of raw materials used in fabric production can significantly impact initial emissions. Notwithstanding this, it’s crucial to acknowledge that environmental impact extends far beyond the realm of manufacturing exclusively. The application of superior supplies, each boasting exceptional efficiency or affordability, can have a profoundly positive secondary environmental impact by increasing accessibility to sustainable technologies, for instance. affordable electric vehicles), even more environmentally friendly (for instance, Higher-performing laptop chips designed specifically for AI-intensive applications, coupled with reduced toxicity in their end-of-life disposal methods, for instance? changing hydrofluorocarbons).

Prior to conducting a single experiment in the laboratory, our platform enabled us to computationally screen over 100 million hypothetical configurations of rare-earth-free magnets. Since progressing to the synthesis stage, our predictive models had accurately forecasted the composition’s properties.

The significance of this magnetic innovation extends far beyond its own creation, heralding a profound shift in material science that promises to revolutionize centuries-old practices. As our platform continues to evolve and become increasingly sophisticated, we can anticipate predicting compositions with greater ease and across multiple material spheres. With 10100 Compositions of elements on the periodic table, the possibilities are seemingly endless.

AI-powered materials discovery holds significant promise in establishing and developing diverse supplies for a wide range of applications beyond magnets.

Our goal on this occasion was to identify an alternative magnet composition devoid of rare-earth components; however, our machine learning-based search algorithms are designed to be applied to any material class without restriction. We’re developing a unified platform for designing common supplies.

Currently, our platform’s core capabilities focus on the development of innovative alloys and ceramics, with a specific emphasis on creating practical materials for applications in high-impact green technologies such as electrical motors, semiconductors, superconductors, and green hydrogen fuel cells.

Through partnerships with leading institutions like the Henry Royce Institute and the University of Sheffield, we gain access to cutting-edge facilities and expertise in advanced materials science. Through strategic partnerships, we accelerate the development and verification of our predictions.

Artificial intelligence-driven supplies discovery has the potential to revolutionize every materials class. At Supplies Nexus, our focus is on the most challenging and costly supplies that have the greatest potential for positive impact when improved. Numerous industries can be impacted by each trade, including power generation, aviation, high-performance computing, transportation systems, and many others. Within the power sector, AI may also aid in developing additional environmentally friendly and sustainable sources for battery and solar cell production. The rapid advancement in supercomputing may lead to the development of cutting-edge semiconductor technologies, thereby significantly enhancing data storage and processing capacities. By fostering rapid expansion in cutting-edge materials, artificial intelligence has the potential to propel revolutionary advancements and environmentally conscious practices across nearly every sector.

As we drive progress forward, our relentless pursuit of excellence will shatter conventional barriers, unlocking new possibilities that meet the demands of a rapidly evolving future. The long-run possibilities are virtually unlimited by human imagination.

Changes are made to secure online presence after hacking incidents: Immediately notify your bank’s fraud department of any unauthorized transactions or suspicious activity on your accounts.

admin
-
0
Changes are made to secure online presence after hacking incidents: Immediately notify your bank’s fraud department of any unauthorized transactions or suspicious activity on your accounts.

Hackers are increasingly targeting average individuals with the aim of stealing their cryptocurrency and potentially compromising their bank accounts. While a significant proportion of these assaults are relatively rare, there is still no need to sound the alarm. It’s crucial to understand how to protect yourself when someone may have accessed your email or social media account, having compromised your security.

Several years ago, companies began offering tools to help individuals protect themselves and their online presence. Many corporations, including those with whom you may have an account, now provide instruments that enable you to take control of your accounts’ security, often before you even need to contact them for assistance in certain situations. 

On various online platforms, we’ll explore the multitude of capabilities at your disposal. 

While identical to within the earlier information, there is a crucial caveat. These strategies do not guarantee that you have not been compromised. If uncertain, it is crucial to seek advice from a professional, especially for journalists, dissenters, activists, or others with a higher risk of being targeted. When circumstances permit, the nonprofit organization Entry Now offers the opportunity to collaborate with one of their experienced consultants.

For those who don’t prioritize this aspect already, consider securing all accounts – at the very least, critical ones such as electronic mail, banking, and social media. This tutorial teaches you techniques to enable multi-factor authentication on over 1,000 websites. You’re under no obligation to employ the multifactor authentication application advertised on that website. 

Providers now increasingly offer physical security keys, which provide one of the most robust safeguards against phishing.

Gmail tracks all the places where your account is currently active.

When you suspect someone has compromised your Gmail account, and subsequently other linked Google services, start by scrolling to the bottom of your inbox until you locate “Last account activity” in the lower right corner.

Upon clicking on “Particulars,” a pop-up window emerges with the following appearance: 

A list of recent account activity on Google's account page, including IP addresses and browser types.
A comprehensive list of recent transactions and activities within a Google account dashboard. TechCrunch

All of these places actively use your Google account? If you’re unsure about one of them, such as an unfamiliar location, like a rural area you’ve never visited recently or ever, then click on “Safety Checkup.” Here, you can review the devices where your Google account is active.   

Google's Security Checkup Page, including a view that shows "where you're signed in."
Google’s Safety Checkup webpage, featuring a view that displays “the account you’re currently signed into,” according to TechCrunch.

If you scroll down, you’ll likely come across the latest information on our safety exercises.

a screenshot of recent security activity on Google's Security Checkup Page
Google’s Latest Safety Exercise: A Comprehensive Review of the Safety Checkup Web Page TechCrunch

Test this checklist to determine if there are any gadgets that you simply do not recognize. If you notice anything unusual at any point along the process, simply click on the “Review new exercise?” prompt and update your password immediately.

a dialog window that says "Let's secure your account," which lets the user change their password.
Altering your Google account password. TechCrunch

After modifying your password, you may be signed out of each machine in every location, except for those devices you use to verify your identity when signing in, as well as a few devices with third-party apps that you’ve granted access to. If you want to trade on the market or signal, simply click on the link to “View the apps and providers offering third-party access.”

a screenshot showing a Google help page describing common questions about account access.
Removing unauthorized access to your Google account. TechCrunch

Lastly, we suggest considering enabling. This enhanced security feature makes phishing for your password and hacking into your Google account even more difficult. The potential drawback lies in the recommendation to acquire supplementary security measures, specifically hardware-based products capable of providing an additional layer of authentication through two-factor functionality. While emergency response systems are crucial, they should be readily accessible to anyone facing imminent peril. 

Since you haven’t logged into your email account in a while, be cautious: linking it to other crucial accounts can create an entry point for hackers, potentially compromising multiple accounts with just one compromised login. That’s why securing your electronic mail account is particularly crucial compared to most others.

Outlook and Microsoft login credentials are stored within the account settings.

If concerns arise regarding unauthorized access to your Microsoft Outlook account by hackers, review “sign-in history” under account settings to track “where and when you’ve signed in.”

To access the webpage’s safety guidelines, navigate to and select “Safety” from the left-hand menu. Then, under “Sign-up exercise”, choose “Policy”. 

a sign-in activity checker window for MIcrosoft accounts.
Are you checking the most recent login activity in your Microsoft account? TechCrunch

Here’s a revised version of the original text: To access sensitive information at this level, you require visibility into recent login activity, including the specific web page accessed, the platforms and machines utilized for logging in, the types of browsers employed, as well as the corresponding IP handles.  

a screenshot showing recent activity, including device, platform and approximate location of the user
Verifying the most recent exercise activity within your Microsoft account settings. TechCrunch

If something appears amiss, click on the “” icon to access your password-changing options, review the “” section for further instructions.  

Microsoft additionally has .

Your email account serves as the foundation of online security, as it appears to be the gateway to most of your crucial accounts – including social media, financial institutions, healthcare providers, and others. — are linked to it. Hackers often strive to gain initial access through password cracking as a means to subsequently breach multiple accounts. 

Preserve your LinkedIn account with strict access controls, limiting visibility to approved connections and ensuring that sensitive information remains private.

If you’re concerned about the security of your LinkedIn account, visit our dedicated help webpage for guidance on identifying and removing unfamiliar login sessions from various platforms, including internet tools, iOS devices, and Android apps. 

On LinkedIn, you can view your current login location.

a screenshot showing active sessions of all logged-in LinkedIn accounts, including a button that says "end these sessions" to log everyone out.
Here’s a comprehensive display showing all the websites currently linked to your LinkedIn profile. TechCrunch

To complete the session without saving changes, click “Finish” and authenticate with your password upon request. If you inadvertently click on “Finish these periods,” you will likely log out of all devices except the one you’re currently using. 

The method is identical across both iOS and Android platforms. Within the LinkedIn app, faucet in your profile image on the highest, faucet on “Settings,” then “Check in & Safety,” then “The place you’re signed in.” At that time you will note a web page that’s primarily an identical to the one you possibly can see on the internet. 

LinkedIn also features a security mechanism that prompts users to authenticate their login attempt on another device when someone attempts to access their account from an unfamiliar location. 

a push notiifcation on an iPhone requesting attention to a LinkedIn sign-in request
A notification indicating a new request for connection on my LinkedIn profile, displayed on the screen of my iPhone. TechCrunch

When you tap the sign-in request notification, you’ll be taken to a webpage that prompts you to verify your identity and confirm that you’re the one attempting to log in. You can either verify a login attempt or block subsequent attempts. 

You’ve received a sign-in request from [Name] on [Date]. This is an automated notification to inform you that [Name] has attempted to connect with their computer to your device, requesting permission to access specific files or folders. If you’re familiar with [Name], feel free to approve the request; otherwise, you may want to verify the authenticity of this connection before granting access. TechCrunch

Like various email providers, including those operated by Yahoo, which also owns TechCrunch, this platform offers a tool to scrutinize your account activity and sign-in behavior, allowing users to detect any unusual patterns or suspicious signs of potential compromise. 

To access this instrument, navigate to the top right corner of the page, where you’ll find the email icon followed by a “Manage your account” link. Clicking on this will allow you to proceed with entry. 

a screenshot showing recent activity, including device, platform and approximate location of the user
Accessing your Yahoo account info. TechCrunch

Upon arrival, click on the “Account” tab, where you can view your latest activity, including password updates, phone numbers linked, devices associated with your account, along with their respective IP addresses, allowing for seamless management and monitoring of your online presence. 

a recent activity window for Yahoo account users, which includes a log of recent account actions, such as password changes.
Verifying recent account activity within my Yahoo account? TechCrunch
another screenshot showing Yahoo account activity, including browser version, location and sign-in history
Verifying recent activity in your Yahoo account for added security. TechCrunch

Since it appears you’ve linked your email address to sensitive websites such as your bank, social media accounts, and healthcare portals, among others, it’s crucial that you take extra precautions to secure it. 

Protect your digital life: Ensure your Apple ID is rock-solid

The devices signed into your Apple ID can be viewed directly through the iPhone and Mac system settings, it appears. 

On an iOS device, navigate to the “Settings” app, tap your name at the top, and then scroll down to view a list of all devices where you’re currently signed in. 

a screenshot on an iPhone showing all the logged in devices on an Apple account.
What devices are currently signed in to my Apple ID? This screenshot displays a comprehensive list of all the devices I’ve used with this account. Apple

On a Mac, navigate to the top-left corner and click the Apple icon, followed by “System Preferences,” then select “General” from the sidebar and click on your name at the top. You’ll then be presented with a list of devices, similar to those found on an iPhone or iPad. 

A screenshot on a Mac showing all the logged in devices on an Apple account.
The Devices list for my Apple account: a comprehensive visual representation of all the devices currently logged in and associated with my profile. Apple

When clicking on a Mac, Apple allows you to “view that machine’s information,” including its model number, serial number, and operating system version.

On Windows, access Apple’s iCloud app to view the devices currently logged in to your account. Open the app and navigate to “Manage Apple ID,” where you can view your devices and access additional information about each one.

You can easily obtain this information online by visiting the relevant website and selecting the “Units” option from the menu located in the top-left corner of the page. 

A screenshot on a browser view showing all the logged in devices on an Apple account.
A visual representation showcasing the entirety of devices associated with an authenticated Apple account within a browser’s viewport. Apple

Are you worried about your online security? Here are some easy ways to ensure Facebook and Instagram safety:

To begin with, regularly check your privacy settings on both platforms. This will prevent unwanted sharing of your personal information. Next, be cautious when clicking on links or downloading attachments from unfamiliar accounts.

Another simple yet effective method is to use strong passwords and enable two-factor authentication. This will make it much harder for hackers to access your accounts.

Also, limit the amount of personal information you share publicly. This includes your hometown, phone number, and email address. Remember, once shared online, it’s difficult to take back.

Use a reputable antivirus software on your device to protect against malware and other cyber threats. Finally, report any suspicious activity or content to Facebook and Instagram directly.

By following these simple steps, you can significantly reduce the risk of falling victim to cybercrime and enjoy a safer online experience.

The social media giant introduces a feature that enables users to view the platforms where their account is currently logged in. Access Facebook’s “Settings” menu, then click on the option labeled “Where You’re Logged In”. 

a screenshot of a logged-in Facebook account Account login activity showing recently and all signed in devices attached to that account.
To access your Facebook account, follow these steps:

1. Go to the Facebook homepage and click on the “Log In” button located at the top right corner of the page.
2. Enter your email address or phone number in the first field and your password in the second field.
3. Click the “Log In” button to proceed.
4. If you’re using a public computer, you may be prompted to enter additional information for security purposes.

That’s it! You should now have access to your Facebook account. TechCrunch

If you’re logged into both platforms simultaneously, you’ll also see the location where you’ve signed in alongside your connected Facebook account. If your accounts aren’t linked or if you don’t have a Facebook account, follow these steps: Log in to your Instagram account, navigate to Settings > Account > Login Information, then select “Where You’re Logged In” from the Password and Security section. 

You can opt to disconnect from specific devices, either because you’re unaware of them or due to the fact that they’re outdated devices no longer in use. 

Facebook introduces a new feature designed to significantly enhance the security of its platform, making it much more difficult for malicious hackers to gain unauthorized access to user accounts. To strengthen security and prevent unauthorised access to accounts, we’re introducing tighter login protocols that significantly reduce the risk of breach attempts. “When an unusual activity is detected on your account, we’ll require you to complete further verification steps to ensure it’s really you logging in.” 

If you’re a high-profile individual such as a journalist, politician, or someone with significant public influence, you may want to consider enabling this feature for added security against potential hacking threats. 

Does your WhatsApp account have a lock? If yes, then your WhatsApp is secure.

In the past, the sole possibility existed to utilize WhatsApp on a single mobile device alone. Meta now enables WhatsApp users to access the app seamlessly on computer systems and also directly via browser. 

Logging into the place using your linked WhatsApp account is a seamless process. Launch the WhatsApp messaging application on your mobile device. Tap the Settings app in the bottom right corner of your iPhone or iPad, followed by selecting “Connected Devices.” 

Here: You can view an inventory of gadgets and log one out by clicking on it. 

a screenshot showing all the linked devices attached to this WhatsApp account
Verifying connected devices on a WhatsApp profile. TechCrunch
another screenshot showing the linked devices attached to this WhatsApp account
Verifying connected devices on a WhatsApp profile. TechCrunch

On your Android device, navigate to the WhatsApp app’s top-right corner and select the three-dot icon. From there, choose “Linked devices” to access a webpage displaying settings comparable to those found on Apple devices.

The sign-up process allows for anomaly detection.

Sign now lets you use the app on macOS, Windows, and Linux platforms. 

a screenshot on an iPhone showing all the linked devices attached to this Signal account
Searching for devices connected to a Slack account. TechCrunch

By clicking on “Edit,” you can select to remove linked devices, resulting in automatic logout and disconnection from those devices. 

Does X permit users to view available time slots?

To access the account information you’re currently logged into, formerly known as X (Twitter), follow these steps: Navigate to , click on the “Extra” option in the left-hand menu, select “Settings and privacy,” proceed to “Safety and account access,” and finally, click on “Apps and permissions.”

On this menu, you can view associated apps tied to your X account, identify currently accessible timeframes (mirroring the login location), and review your account’s activity history. 

You’ll be able to log out of all connected devices and areas simultaneously by clicking the “Log off all other sessions” button.

a screenshot showing all the logged in sessions on an X account from the web interface
Attempting to log in during specific time frames on my X account. TechCrunch
a screenshot showing all the account access history on an X account from the web interface
Reviewing the account entry history of an X account. TechCrunch

Securing your Snap account

Snap’s login functionality includes a feature that allows users to inspect their current login location. A Snapchat to examine. Utilize both the app on iOS and Android devices. 

On both iOS and Android devices, navigate to the app by opening it, tapping your profile icon, followed by the settings (gear) icon, and then select “Session Administration” from the menu. This will allow you to view a list of active sessions associated with your account. It seems like this:

a screenshot user session management in Snapchat's iOS app, showing all the places where users are logged in
A vulnerability in Snap’s iOS app allows for session administration to be discovered. TechCrunch

To access session administration online, navigate to the designated website and click on the “Session Administration” tab. You’ll then be presented with a list of logged-in sessions resembling the image below. You can flag suspicious posts on both the internet and within the app if they appear unverified or unknown to you. 

Snapchat also features a security mechanism that notifies your phone if someone attempts to access your account, whether it’s you or an unauthorized individual trying to log in. 

a screenshot showing sign-in request notification on a Snap account set up on an iPhone.
You receive an indication-in request notification on your Snapchat account arranged on an iPhone. TechCrunch

TechCrunch tested the sign-in process on a variety of devices. This notification was not displayed to users who logged back in to a tool they had previously accessed. When Snapchat deems a login attempt “suspicious”, typically due to unusual device or IP address usage, the app prompts the user to verify their phone number associated with the account, displaying only the last four digits of the phone number for security purposes.

When an unauthorized individual attempts to log in and taps “Proceed,” the account owner receives a text message on their phone number with a verification code, thereby preventing the would-be intruder from gaining access. 

You will receive this alert only once the individual has successfully entered their correct password. To guarantee optimal security, it’s essential to set a robust and unique password that’s resilient against guessing attempts; this can be achieved by utilizing a lengthy and complex password, thereby preventing unauthorized access. Additionally, you can enable multi-factor authentication using an authenticator app instead of relying on your mobile phone number. 

What drives a group of intergalactic outlaws in the Star Wars universe?

admin
-
0
What drives a group of intergalactic outlaws in the Star Wars universe?

Video games have achieved significant milestones throughout their extensive history of development and experimentation. Despite numerous genres being mapped onto the galaxy-far, distant landscape, a few have received relatively little attention. Brokers of the Empire: Jedi and Sith; pilots, troopers, and bounty hunters. While the fantasy aspect of eSports has rarely been the primary emphasis—a characteristic making it all the more captivating to explore through—its unique capacity to capture this particular facet has been a very long time in the making.

This week, Ubisoft and Huge Leisure release “Kay Vess”, a space-faring adventure that follows Kay Vess, played by Humberly González, as she pursues her dream of building a name for herself in the galaxy as a cunning smuggler and scoundrel. As a master thief in a prison underworld teeming with corruption, Kay finds herself double-crossed during a daring energy shift. The enigmatic Zerek Besh syndicate, led by the cunning Sliro (Caolan Byrne), places a death warrant on her head, forcing her to orchestrate a high-stakes heist on Sliro’s own assets. Gathering a team and forging a reputation for herself among the underworld elite, Kay sets out to execute the hit that will secure her place in the criminal hierarchy forever.

Is your life too predictable?

Star Wars Outlaws Kay Vess
© Ubisoft

The allure of Kay’s narrative has long fascinated gamers, yet few Star Wars titles have successfully captured this essence as seamlessly as this single-player campaign does, bringing the galaxy far, distant to vivid life. With a tone that’s more akin to a television series than a prolonged cinematic experience, the game presents a greatest-hits compilation of a sci-fi crime narrative, seamlessly blending elements from both genres into an engaging and immersive package. As schemes unfold, deception runs rampant, and cunning allurements ensnare, a rich emotional core drives the narrative: Kay’s fervent longing to forge a life where she finds not only liberty but also a sense of belonging among the stars and the individuals who share her orbit.

While Kay embodies certain qualities reminiscent of a charming Han Solo-like figure, she is initially portrayed as a more understated and nuanced protagonist – not yet the iconic character he becomes by the end of the original trilogy or its sequels, but rather someone more like the early Han Solo we meet in “…” Kay’s impulsive nature makes her prone to taking risks without fully thinking through the consequences, often leaving her scrambling to keep up with the chaos she’s created; yet, her sharp instincts and persuasive charm allow her to talk her way out of sticky situations with surprising frequency. While she may not possess the grandeur of a traditional hero, her compassion and kindness are palpable as she weaves a narrative that honors life with a tender, loving perspective. While this gritty game eschews grand-scale conflict, it instead focuses intently on a scrappy group of misfits and morally ambiguous underworld figures, keeping its scope firmly grounded in their rough-around-the-edges world.

While familiar faces from the trailers do appear – Jabba, head of the Hutt Cartel, and Qi’ra, leader of Crimson Dawn – the game mostly excels at introducing a fresh cast of characters in its vast universe. Throughout the cosmos, a motley crew has congregated under Kay’s banner: ND-5 (Jay Rincon), her enforcer; Nix, a loyal animal companion whose bestial vocalizations are courtesy of legendary Dee Bradley Baker; and a diverse array of scoundrels, slicers, rogues, and ruffians drawn together by the shared perception that the galaxy offers boundless opportunities beyond the tumult of the Galactic Civil War.

Spanning approximately 20 hours, the primary narrative remains engaging without overstaying its welcome, despite the rich landscape and diverse content that can easily double or triple the playtime when exploring every nook of its expansive open worlds. While primary missions exhibit a straightforward and linear design compared to open-world content, primarily involving infiltration, data acquisition, or individual retrieval, often with violent or non-violent outcomes – what they sacrifice in approach flexibility is more than compensated by the potency of the overarching narrative. The scoundrel’s narrative allure and deeply flawed protagonists combine to captivate and sustain interest until the very end, leaving viewers eager for more in a richly exploitable setting.

A reliable ally at your side.

Star Wars Outlaws Combat Empire
© Ubisoft

Additional features lean into this scrappy underdog characterization seamlessly, effectively reinforcing the narrative’s tone and themes. While General operates within the realm of typical action-adventure open-world third-person shooters, particularly those from Ubisoft and Bethesda, its thematic focus differs significantly from protagonists like Cal Kestis or Kyle Katarn. You’ve obtained a versatile blaster by your side, coupled with various ways to customize it through unlockable talents or crafting upgrades, ensuring a truly tailored experience; meanwhile, the shooter combat proves satisfyingly effective.

While there’s a captivating tension in ‘Kay’, it’s peculiar that her strategy to fight doesn’t seem to transform her into a hardened gunslinger, even after she’s mastered the basics? Foes take just enough pictures, dealing out reasonable pain that, even in confined battles, can make you feel threatened; but, when chaos erupts, their relentless attacks become downright infuriating? Han wouldn’t have relished the clandestine aspects of his smuggling career, yet Kay shines brightest here, delivering a thrilling experience that rewards players for embracing the stealthy gameplay.

While Kay’s arsenal is bolstered by the array of bells and whistles allowing for effective stealth, her ultimate advantage lies in the clever collaboration with her diminutive yet deadly extraterrestrial partner, Nix. The innovative Nix mechanism truly shines in its ability to revolutionize ‘stealth mechanics’, seamlessly integrating with game developers to create immersive and thrilling experiences for players. With the effortless press of a button, Nix enables Kay to collaborate seamlessly with global forces and potential adversaries from a safe distance, all while maintaining a discreet presence in the shadows. With his technical expertise, he can retrieve Kay’s fallen blasters, which boast significantly more firepower than her standard-issue pistol, while also diverting surveillance cameras and security personnel (even pilfering valuables from the latter), unlock secure entry points, and disrupt alarm systems.

In a limited capacity, Nix may still play a crucial role in combat, springing into action to intercept an enemy’s attack and protect Kay, either by leaping at their face on command or providing cover fire from a distance to keep them occupied while she closes in for a takedown or delivers a blast. What distinguishes Nix is its masterful execution of stealth gameplay, setting it apart from similar video games by rendering it a delight to engage with, rather than resorting to guns-blazing action, thus further strengthening the emotional connection between Nix and Kay within the narrative. Like Kay, he’s not an unstoppable force, but his unyielding spirit makes him formidable despite being vulnerable to harm, albeit indirectly alerting guards to his presence. He excels at playing the scrappy underdog on this unforgiving planet, leveraging any trick or advantage to take down overwhelmingly superior foes with sheer determination.

Scum, Villainy…

Star Wars Outlaws Faction Reputation
© Ubisoft

Notwithstanding its core narrative and immediate gameplay mechanics, ‘Prison Underworld’s’ most impressive feature lies in its intricate faction reputation system. Throughout the game Kay will encounter four prison teams she’ll work with: three familiar from lore, including the Pyke Syndicate, the Hutt Cartel, and Crimson Dawn; and one created for the game, the insectoid Ashiga Clan, inspired by the planet Kijimi. As Kay traverses the galaxy, she undertakes missions that impact the stability of energy within the underworld, cultivating alliances at the expense of relationships, thereby introducing an unpredictable element into every interaction.

The vast majority of playable content stems from the variety of missions and contracts offered by each of the four syndicates. While most of these contracts compensate in currency, they also crucially award status points with their respective factions, depending on the mission; occasionally, this reward comes at the cost of diminished reputation with another group. The higher your status within a given syndicate, the greater favor you have with them. For faction-aligned distributors across various planets, discover exclusive deals on equipment, customize your arsenal with unique upgrades, and gain access to rare items enhancing your abilities and proficiency. This gritty entry into the world of organized crime provides insight into the territorial divisions of various criminal outfits, spanning from modest outposts to sprawling urban domains. If Kay’s status is perceived as pleasant, she can move about freely in those areas without drawing attention to herself; however, if she is exceptionally well-regarded, she may be able to discreetly acquire a significant number of objects she discovers are stashed throughout the area.

In essence, this implies the presence of an alternative response if her status wavers, crafting a “most intriguing sense of player friction” that remains faithful to the fantasy of playing a scoundrel. Being stuck with a subpar service status could mean facing inflated charges for providers, or worse, being entirely locked out of certain options. The company’s limited capacity would hinder its potential to secure lucrative deals offering substantial returns. As you previously navigated through open spaces without hindrance, an unanticipated shift occurs, transforming the terrain into a restricted area that demands covert operations or, worse still, a deadly ‘shoot-on-sight’ policy, whereupon the concerned faction becomes sufficiently enraged to dispatch hit squads in pursuit of you, regardless of your location. The inherent tension between push and pull is compounded by the fact that many reputation-influencing actions, such as contracts, inherently carry a threat component: the higher the potential reward, the more likely the mission will involve caveats, like completing tasks without raising alarms or having only one chance to succeed at all.

On this subtle balance of contradictions, the scoundrel’s complex personality truly comes alive. Not everyone’s pleased all the time, and these reputations don’t define you forever. At any moment, there exists a possibility for a change in your standing with one or more factions, which can, in turn, provide an opportunity to redeem yourself and regain their favor. As you cultivate steadiness in your nefarious pursuits, an unsettling familiarity with infamy begins to take hold, prompting introspection into the depths of your own morality and the motivations driving your actions in each fleeting moment. Is it truly worth sacrificing one faction’s favor at this moment to curry favor with another? Is it worth streamlining your mission by cultivating relationships through calculated networking before approaching a syndicate-managed space – these questions constantly weigh on your mind, imbuing ‘programs’ with significant character.

While the faction system has its unique charm, it remains largely irrelevant unless you venture into the open world’s optional activities and side quests. The narrative’s influence on the system is driven by shifts in your reputation among certain factions, which can have positive or negative effects. The trajectory of my primary narrative suffered a jarring dip when my rapport with one particular faction plummeted in an instant, only to recover swiftly as the mission resumed, thereby diminishing the overall impact of those pivotal moments.

As the narrative unfolds, the prison’s undercurrents render it even less hospitable, gradually introducing Imperial influences that reshape the setting and precipitate a power struggle between rival factions within the walls – an enemy force so inconsequential, you can fight them without worrying about repercussions or maintaining standing with them. It’s a profound embarrassment, especially since the system’s inherent flaws are initially masked by its ability to explore a range of perspectives and emotions. However, it ultimately fails to muster the courage to confront those same flaws consistently.

… And Wretched Hives

Star Wars Outlaws Toshara
© Ubisoft

Here is a superb playground where you can place all your content, doing an excellent job overall. The narrative spans five major planets, with the town of Canto Bight on Kay’s homeworld of Cantonica serving as a bookend, while Toshara – a newly introduced world -, Tatooine, Kijimi, and Akiva represent the other typical hubs visited throughout the story. Four distinct biomes and environments, characterized by varying scales, come together in the game’s settings, including Kijimi – the smallest setting, which is a densely packed, snow-covered metropolitan area where buying and selling occur alongside intense rivalries. On Tatooine, amidst a vast expanse of arid terrain, scattered settlements thrived – from humble villages to sprawling metropolises like the infamous Mos Eisley and the bustling Mirogana – punctuating the seemingly endless expanse of sandy dunes and flat steppes. Akiva resides at a nexus of contrasts, where lush tropical forests and verdant foliage give way to pockets of urbanization, creating an intriguing blend of primal wildness and cultivated refinement. Every planet’s scope feels surprisingly navigable, regardless of scale; fleeting travel options emerge, though scarce and occasionally inaccessible, pending one’s faction standing, rendering Kay’s reliable speeder bike an indispensable tool for traversing the galaxy.

This concept applies far less explicitly to ‘restricted strategies in isolated settings.’ In every world, a compact orbital map provides gamers with a platform to pilot Kay’s versatile ship, allowing for dogfights or scavenging for resources in asteroid fields, while occasional missions transport players to celestial bodies – though these are relatively rare compared to those where they’ll have the chance to set foot on the ground. While often overlooked, the thrill of navigating through hyperspace is a unique pleasure – calculating one’s trajectory and executing a precise jump to a new destination is always satisfying, whether flying through various environmental layers or transitioning between areas to floors.

Despite the abundance of activities to be found on each planet, it never feels like you’re merely exploring, whether in terms of space or terrain, solely for the sake of adventure. There’s an astonishing abundance of richness when it comes to Star Wars aspect content: missions, factional contracts, commerce, supply upgrades, treasure caches, minigames – from high-stakes Sabacc matches and pulse-pounding speeder races to Fathier betting and hidden arcade games nestled in a cantina’s quiet corner. The immersive atmosphere is palpable throughout, allowing players to comfortably rest against railings or bars, taking in meticulously crafted environments, or discreetly gather information on hidden caches or mission options by eavesdropping on conversations near strategic walls. While it may not become overly demanding, you’ve amassed sufficient material to explore outside the primary narrative and fill in gaps without compromising the core story’s flow.

This equally applies to Kay’s talents. Unfortunately, there are no RPG elements to uncover here, neither in terms of equipment statistics nor level progression, nor skill trees to invest time and effort into. As a substitute, consultants: nine enigmatic figures Kay encounters throughout her galactic journey, each representing a distinct facet of the morally ambiguous scoundrel trade, come together through a shared mission that ultimately humanizes their various motivations and philosophies. A skilled Devoted to upgrading your speeder bike, granting increased handling and agility, or alternatively equipping you with more potent heavy weaponry or enhanced slicing tools to take down enemies with greater efficiency. Establishing a rapport with a seasoned expert does not translate to effortless access to their proficiency and benefits; instead, it requires a combination of procuring specific resources and items in the open world, as well as achieving distinct, relevant gameplay objectives?

While consultants’ relationships to the primary story are crucially important compared to their status within it, they lack the same level of fascinating tension and push-and-pull as the original narrative system. However, some early discoverable consultants can aid in advancing the plot, and a select few possess expertise that simplifies encounters—consultants thereby add an additional layer of depth to the ‘scoundrel fantasy’ genre.

While it may not be immediately apparent, Kay’s narrative desire is actually to highlight her ordinariness, underscoring that she’s just another regular person in the galaxy, navigating her way through life by leveraging relationships and knowledge gained along the way?

Incalculable probabilities surround us all the time, but what are the chances of actually learning them?

Star Wars Outlaws Mos Eisley
© Gizmodo/Ubisoft

On a subtle yet undeniable sense of roguish charm, the narrative truly comes alive and reaches its zenith. The game’s meticulous attention to detail ‘crafts a lived-in galaxy’, where even the most mundane alleyways hum with energy, and the nostalgic ’70s flair of its UI is a love letter to its world – as anyone enamored with Han Solo since his debut in A New Hope can attest. The immersive experience is akin to little else in gaming, marrying engaging narratives and captivating visuals to transport players into the uncharted reaches of a galaxy far, far away – perfectly capturing the essence of playing an intergalactic rogue. As you’ve concluded your primary narrative, the thrill of venturing into the galaxy persists, whether you’re occupied with odd jobs, gathering scattered rumors, scavenging for valuable relics or navigating Imperial outposts under the cover of night, or simply discovering a cantina where you can sit back and immerse yourself in the atmosphere for a while.

Recent releases in the video game genre, such as [insert examples], offer distinct, immersive experiences that cater to various tastes. Meanwhile, [game title] sets itself apart from others by delivering a unique narrative perspective that shines through its high-quality production values.

While it’s understandable that the fantastical elements may initially grab attention, they somewhat detract from the otherwise unremarkable open-world design. The game’s standout features, initially promising, are relegated to the periphery, compromising a predictable yet passable linear motion experience, ultimately falling short of excellence due to an inability to commit to their full potential? Here: The template presents a solid foundation for successors to build upon in their first foray into open-world gaming – an impressive standard for video games to strive towards, executed with endearing bombast, akin to a scoundrel’s flair. A mischievous glint and a willingness to take risks can indeed propel you forward, even in the most unpredictable of circumstances.

The highly anticipated sports game is set to launch simultaneously on PlayStation 5, Xbox Series X, and Xbox Series S on August 30, with early access available for those who pre-order starting August 27. A duplicate game was offered by Ubisoft for evaluation purposes.

Need extra io9 information? As we navigate the ever-evolving tech landscape, it’s crucial to stay ahead of the curve by anticipating the next major developments. When can we expect the latest advancements in , , and ? What lies ahead for the and what does this mean for our understanding of the future?

Loft Orbital forms a strategic three-way partnership with a leading UAE-based entity to drive satellite production growth in the Middle East.

admin
-
0
Loft Orbital forms a strategic three-way partnership with a leading UAE-based entity to drive satellite production growth in the Middle East.

Abu Dhabi’s Marlan Area, backed by an Emirati royal household affiliate, has partnered with a startup in a $100-million-plus deal to establish its own domestic satellite television production capabilities. 

Dubai-based joint venture, the first of its kind in the United Arab Emirates, will revolutionize the region’s space industry by establishing a large-scale satellite manufacturing facility. The majority ownership lies with Marlan Area, a newly established affiliate of Worldwide Holding Corporation. The International Health Center (IHC) is primarily managed by the Royal Group, a conglomerate controlled by the sovereign rulers of Abu Dhabi, the capital emirate of the United Arab Emirates. 

With its unwavering zeal for expansion and substantial financial resources at its disposal, the UAE is poised to make a significant impact on the global landscape. Although the UAE Area Company (UAESA) has been operational for less than a decade, the government has invested heavily in developing indigenous capabilities and forging strategic alliances with other nations and commercial players. The United Arab Emirates made history in 2019 by sending its first astronaut – officially classified as a privately funded “spaceflight participant” by NASA – to the International Space Station. Two years later, it achieved another milestone, becoming the latest country to successfully place a probe into Martian orbit, joining an elite group of nations to accomplish this feat.

The UAE’s area ecosystem is driven by key players beyond the UAESA: Space42, a merger of Emirati satellite operator Yahsat and data analytics firm Bayanat; EDGE Group, a leading industrial prime contractor; and a select few universities and research institutions, including the National Centre for Space and Science Technology. The country has reached a critical juncture where deploying satellite TV constellations and establishing domestic satellite manufacturing capabilities are imperative for its future growth.

Loft Orbital CEO Pierre-Damien Vaujour recently expressed his longstanding interest in the UAE’s space sector during an interview, remarking that from the outset of Loft’s establishment, he envisioned building a presence in the UAE and contributing to its growth. 

San Francisco-headquartered Loft procures satellite television for PCs on a fleet of buses en masse, while also accommodating client payloads through its standardized modular payload adapter, seamlessly integrating external hardware with the spacecraft. Once in orbit, Loft assumes control of the launch integration process and manages the spacecraft’s operations from that point forward. Startups enable customers to deploy mission-critical applications in space, utilizing onboard sensor suites, advanced computing capabilities, and high-resolution cameras. 

Vaujour noted that Loft’s adaptable hardware enables the joint venture to collaborate seamlessly with a diverse range of emerging players across the Middle East’s vibrant startup ecosystem. “Our partnership is open to collaborating with any payload provider, bus or subsystem supplier, floor station provider, or cloud service – we’re prepared to share our comprehensive guide on manufacturing, operational best practices, and satellite expertise.”  

OrbitWorks aims to manufacture up to 50 500-kilogram satellites annually, with the hardware for the initial ten satellites having already been acquired. The advanced facility, spanning 50,000 square feet in Abu Dhabi, will serve as the primary hub for assembling, building, and testing the primary satellite TV platform, with a projected timeline of completion by early 2025. 

Vaujour confirmed that the startup has finalized its arrangements with Marlan to ensure Loft’s continued compliance with US regulations. laws and export licenses. Loft’s separate entity, Loft Federal, will continue to process and deliver work on categorized contracts in the United States. nationwide safety prospects. 

“This newly established entity has a mission to become the national leader in satellite television constellation development and operations, a pioneering endeavor.” While we’re starting with a localized approach, our ultimate goal is to expand this idea exponentially. Ambitions on a national, regional, and global scale converge to form a truly monumental undertaking. 

Will Apple’s new Macs finally justify their hefty price tags with increased memory options?

admin
-
0
Will Apple’s new Macs finally justify their hefty price tags with increased memory options?

Will Apple’s new Macs finally justify their hefty price tags with increased memory options?

Dhruv Bhutani / Android Authority

TL;DR

  • According to reports, Apple is working on four new Mac computers, each likely to feature at least 16GB of RAM.
  • While previous Macs had limitations with their standard 8GB of RAM, this new iteration offers a significant upgrade.

A prevailing criticism leveled against modern Mac computers is the meager 8GB of RAM in their entry-level configurations, sparking concerns about their overall performance and capacity to handle demanding tasks efficiently. The device is well-suited to compete with Windows-based counterparts that typically come equipped with 16GB of memory.

AppleInsider reports that Apple is developing four new Mac computers equipped with the powerful M4 chip. Despite the abundance of data, a crucial fact remains: all four fashion options come equipped with either 16GB or 32GB of RAM.

Apple’s prolonged delay to match the industry standard is finally being bridged, as the company introduces 8GB of RAM as a baseline feature across its range. Apple defended its decision last year by explaining that it uses unified memory architecture, which combines both system and graphics memory into a single pool, allowing for more efficient allocation and management of resources. The company contended that the amount of RAM (hardwired to the processor) should be equated with 16GB, despite differences across various platforms. However, this technology primarily accelerates memory recall speed rather than capacity. Additionally, numerous applications, such as multimedia editing, online gaming and heavy internet browsing with multiple tabs, significantly benefit from increased RAM capacity. It’s also worth noting that Apple charges a considerable $200 premium for the upgrade from 8GB to 16GB of RAM, highlighting the significant cost associated with increasing storage capacity.

It appears Apple may be primarily transitioning to 16GB of RAM for future AI-focused products. On-device AI models sometimes require resident memory for maximum responsiveness. It is likely that some Apple devices, particularly those focused on artificial intelligence capabilities, may require additional memory resources to function optimally.

Received a tip? Discuss to us! E mail our employees at . It’s ultimately up to you whether you choose to remain anonymous or receive recognition for your work.

1...1,3871,3881,389...1,726Page 1,388 of 1,726

Welcome to our tech blog, where we explore the latest innovations and trends shaping the digital landscape. From cutting-edge gadgets to insightful analyses of industry breakthroughs, we're your go-to source for tech news. Join us as we decode complex technologies and make them accessible to all enthusiasts. Stay informed, stay inspired, and delve into the future with us at next gen tech.

© Copyright 2024 - nextgentech.pennyhost.app. All rights reserved.