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Dataset Card for GFS-Reforecast
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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} }