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[Paper] Generating physically-consistent high-resolution climate data with hard-constrained neural networks

Open jacobbieker opened this issue 3 years ago • 4 comments

https://www.climatechange.ai/papers/aaaifss2022/5

Interesting work on making sure the outputs of high-resolution models are physically consistent. Might be good to include some of their work in this

jacobbieker avatar Nov 25 '22 11:11 jacobbieker

Hello! I am interested in working on this issue. What would be a good way to reach out to you about questions I may have on implementing this enhancement?

branberry avatar Nov 27 '22 05:11 branberry

Hi, just posting on here would work well!

jacobbieker avatar Nov 27 '22 17:11 jacobbieker

Hi! Great to see that our idea might be used for this. Wanted to let you know that we just released our code on it: https://github.com/RolnickLab/constrained-downscaling and also a new preprint: https://arxiv.org/abs/2208.05424 . Don't hesitate to contact me if there are any questions!

paulaharder avatar Feb 14 '23 18:02 paulaharder

i would like to work on this issue please assign this to me

MadJokkerr avatar Apr 01 '24 20:04 MadJokkerr