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Pytorch
gravity wave
Weather & Climate
Foundation model
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@@ -41,9 +41,12 @@ the [Gravity Wave Parameterization dataset](https://huggingface.co/datasets/Prit
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  Code for fine-tuning is available through [Github](https://github.com/NASA-IMPACT/gravity-wave-finetuning).
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  ### Results
 
 
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  For the Andes (mountain waves) and the Southern Ocean (non-mountain waves),
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  the fine-tuned model achieves correlation coefficients of 0.99 and 0.97, respectively, when compared to the observed fluxes.
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  ### Inference and demo
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  The github repo includes an inference script that allows to run
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  the [gravity_wave_model](https://huggingface.co/Prithvi-WxC/Gravity_wave_Parameterization/blob/main/magnet-flux-uvtp122-epoch-99-loss-0.1022.pt) model
 
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  Code for fine-tuning is available through [Github](https://github.com/NASA-IMPACT/gravity-wave-finetuning).
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  ### Results
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/6488f1d3e22a0081a561ec8f/Vk1EKgzf_j90ZPiw2hGHE.png" alt="Gravity Wave" width="1024"/>
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+
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  For the Andes (mountain waves) and the Southern Ocean (non-mountain waves),
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  the fine-tuned model achieves correlation coefficients of 0.99 and 0.97, respectively, when compared to the observed fluxes.
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+
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  ### Inference and demo
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  The github repo includes an inference script that allows to run
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  the [gravity_wave_model](https://huggingface.co/Prithvi-WxC/Gravity_wave_Parameterization/blob/main/magnet-flux-uvtp122-epoch-99-loss-0.1022.pt) model