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license: cdla-permissive-2.0
---

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
reconstruction objectives. I.e.~the model is capable of reconstructing atmospheric state from partial information as well as propagating state into the
future. The model takes data from two timestamps as input and generates a single, possibly future, timestamp as output. Currently Prithvi WxC comes in two flavors:

- (This model)`prithvi.wxc.rollout.2300m.v1` has been through further training cycles to be optimzed for autoregressive rollout. Here, we restricted the input delta
  as well as the lead time to 6 hours. We recommend using `prithvi.wxc.rollout.2300m.v1` for forecasting applications.

<div style="display: flex; justify-content: center;">

<b> Zero-Shot Rollout</b>
<img src="https://huggingface.co/Prithvi-WxC/prithvi.wxc.rollout.2300m.v1/resolve/bffd73a5b80904a4a1c8637a9f3bb35d32ce3382/2021C4Ida_2021082700_2plots_winds_platecaree_nohurr.gif" alt="Rollout" width="1024"/>
<br>
<img src="https://huggingface.co/Prithvi-WxC/prithvi.wxc.rollout.2300m.v1/resolve/bffd73a5b80904a4a1c8637a9f3bb35d32ce3382/2021C4Ida_2021082700_2plots_winds_platecaree_CONUS.gif" alt="Rollout_hurr" width="1024"/>

</div>