[Dataset Title/Name]: Graphcast Hindcast Dataset (1979–2024) by The University of Texas at Austin

[nvnsudharsan]

Contact Details

[email protected], [email protected]

Dataset description

The University of Texas at Austin (UT) has created a Hindcast dataset using the Google DeepMind Graphcast model, covering 1979 to 2024. This effort represents a significant advancement in leveraging artificial intelligence (AI) for atmospheric science, utilizing a state-of-the-art deep learning model to generate daily 15-day global forecasts initialized at 00 UTC.

Variables:
Surface Variables:
Temperature
Wind speed (u and v components)
Precipitation
Mean sea-level pressure (MSLP)

Atmospheric Variables (13 Altitude Levels):
Specific humidity
Wind speed (u, v, w components)
Geopotential height
Temperature

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Keywords

Hindcast, AI-NWP

Code of Conduct

• I agree to follow this project's Code of Conduct

[samapriya]

Hey @nvnsudharsan
So a couple of things please provide

• Link to the paper related to this dataset
• Link to the dataset itself and where we can download it
• Any other relevant information like what license the datasets are under

Thanks