gfs-reforecast / README.md
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Dataset Card for GFS-Reforecast

Table of Contents

Dataset Description

  • Homepage: [Needs More Information]
  • Repository: [Needs More Information]
  • Paper: [Needs More Information]
  • Leaderboard: [Needs More Information]
  • Point of Contact: Jacob Bieker

Dataset Summary

This dataset consists of various sets of historical operational GFS forecasts, and analysis files from 2016-2022. The analysis files and forecasts are initialized at 00, 06, 12, and 18 UTC every day and ran for multiple hours. Additionally, raw observations are also included, which are the observations that are used to initialize the analysis and forecasts. The dataset is being expanded over time as more historical data is processed, and more observations as well.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

This dataset was constructed to help create a similar and expanded dataset to that used in Kiesler 2022 paper, where graph networks were used for weather forecasting.

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

US Government License, no restrictions

Citation Information

@article(gfs, author = {Jacob Bieker} title = {GFS NWP Weather Dataset} year = {2022} }