From b2c72f3c32b48a49ef8bbd60250e0eaa8ca9b8c8 Mon Sep 17 00:00:00 2001 From: Tobias Augspurger Date: Sun, 6 Oct 2024 10:30:13 +0200 Subject: [PATCH] Add CRA5 (#854) Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer. https://github.com/taohan10200/CRA5 --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 13a31ea0d5..004f22c966 100644 --- a/README.md +++ b/README.md @@ -1759,7 +1759,7 @@ parameter values. - [Neural-LAM](https://github.com/mllam/neural-lam) - A repository of graph-based neural weather prediction models for Limited Area Modeling. - [OPENSENSE software sandbox](https://github.com/OpenSenseAction/OPENSENSE_sandbox) - Collection of runable examples with software packages for processing opportunistic rainfall sensors. - [Prithvi WxC](https://github.com/NASA-IMPACT/Prithvi-WxC) - Foundation model for weather and climate, that employs an encoder-decoder-based architecture, incorporating concepts from various recent transformer models to effectively capture both regional and global dependencies in the input data. - +- [CRA5](https://github.com/taohan10200/CRA5) - Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer. ### Radiative Transfer - [lowtran](https://github.com/space-physics/lowtran) - Atmospheric absorption extinction, scatter and irradiance model in Python and Matlab.