Reconstructing Historical Climate Fields With Deep Learning
收藏NIAID Data Ecosystem2026-05-02 收录
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资源简介：
Supplement to the article "Reconstructing Historical Climate Fields With Deep Learning". Model checkpoints for LaMa, LaMa random, LaMa(years) on tas and LaMa trained on the sea ice concentration are provided. Netcdf files for the sitewise and spatial RMSE of the different models on the test set are provided. Additionally, we provide the reconstructed fields shown in the paper as well as an archived version of the original LaMa source code and our modified version. For questions contact Nils Bochow (nils.bochow@uit.no)
创建时间：
2025-03-01
