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README.md
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license: cdla-permissive-2.0
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---
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Prithvi WxC is a 2.3 billion parameter model trained on 160 different variables from MERRA-2 data. It has been pretrained on both forecasting and masked
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`prithvi.wxc.2300m.v1` for generic use cases that do not focus on forecasting.
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<div style="display: flex; justify-content: center;">
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<img src="https://huggingface.co/Prithvi-WxC/Gravity_wave_Parameterization/resolve/20f8a120752b4e48364a2a606d6d2db26b2aa8b9/prithvi_downstream_gwflux_animation.gif" alt="Gravity Wave" width="512"/>
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<b>Hurricane Ida</b>
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<img src="https://huggingface.co/datasets/Prithvi-WxC/Hurricane/resolve/6edc7c6838d59c1694755508917dce7a203fb9e8/2021C4Ida_2021082700_ground_truth_prediction.gif" alt="Hurricane Ida" width="512"/>
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</div>
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---
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license: cdla-permissive-2.0
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tags:
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- Pytorch
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- Weather & Climate
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- Time Series
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- Foundation Model
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- NASA
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- IBM
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- MERRA2
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---
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Prithvi WxC is a 2.3 billion parameter model trained on 160 different variables from MERRA-2 data. It has been pretrained on both forecasting and masked
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`prithvi.wxc.2300m.v1` for generic use cases that do not focus on forecasting.
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<div style="display: flex; justify-content: center;">
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<b> Zero-shot reconstruction</b>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6488f1d3e22a0081a561ec8f/ftaxww2youmdS8XER31RC.png" alt="Reconstruction" width="1024"/>
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</div>
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