Update README.md

README.md

@@ -6,21 +6,17 @@ colorTo: blue
 sdk: static
 pinned: false
 ---
+NASA and IBM have teamed up to create an AI Foundation Model for Weather and Climate - [Prithvi WxC](https://huggingface.co/Prithvi-WxC/prithvi.wxc.2300m.v1), using [MERRA-2](https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/) data.
+By embracing the principles of open science, both organizations are actively contributing to the global mission of promoting knowledge sharing and accelerating 
+innovations in addressing critical environmental challenges. With Hugging Face’s platform, they simplify model training and deployment, making it accessible for 
+open science users, startups, and enterprises on multi-cloud AI platforms like [watsonx](https://www.ibm.com/watsonx). 
+Additionally, Hugging Face enables easy sharing of the pipelines of the model family, which our team calls Prithvi WxC, within the community, fostering global 
+collaboration and engagement.
+Prithvi WxC has been fine-tuned for several tasks including climate downscaling (released as part of the enterprise-grade [IBM granite](https://huggingface.co/ibm-granite) family of models) and 
+gravity wave parameterization. More details on Prithvi WxC can be found in the joint [IBM NASA technical paper](https://arxiv.org/abs/2409.13598).
 
-NASA and IBM have teamed up to create an AI Foundation Model for Weather and Climate - [Prithvi WxC](https://huggingface.co/Prithvi-WxC/prithvi.wxc.2300m.v1), using [MERRA-2](https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/) data. 
-By embracing the principles of open science, both organizations are actively contributing to the global mission of promoting knowledge sharing and
-accelerating innovations in addressing critical environmental challenges. With Hugging Face's platform, they simplify model training and deployment,
-making it accessible for open science users, startups, and enterprises on multi-cloud AI platforms like [watsonx](https://www.ibm.com/watsonx).
-Additionally, Hugging Face enables easy sharing of the pipelines of the model family, which our team calls Prithvi WxC, within the community, fostering
-global collaboration and engagement. More details on Prithvi WxC can be found in the joint IBM NASA technical paper.
-
-Current downstream tasks of PrithviWxC are (please feel free to submit a PR if you want to add yours):  
-[Downscaling](https://huggingface.co/ibm-granite/granite-geospatial-wxc-downscaling)  
-[Gravity Wave](https://github.com/NASA-IMPACT/gravity-wave-finetuning)  
 
 More information:[Paper](https://arxiv.org/abs/2409.13598), [Code](https://github.com/NASA-IMPACT/Prithvi-WxC), [Model V1](https://huggingface.co/Prithvi-WxC/prithvi.wxc.2300m.v1)
-<br>
-
 PRs: [prithvi-weather-climate-foundation-model (NASA)](https://www.earthdata.nasa.gov/learn/blog/prithvi-weather-climate-foundation-model-background-benefits), [weather-climate-foundation-model (IBM)](https://research.ibm.com/blog/weather-climate-foundation-model)
 [nasa-ibm-weather-climate-foundation-model (NASA)](https://www.earthdata.nasa.gov/learn/blog/nasa-ibm-weather-climate-foundation-model)