🔭 S2S / deep generative models / information theory & causal
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Tsinghua University
- Beijing
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23:38
(UTC +08:00) - sw-meteo.github.io
Highlights
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Pinned Loading
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precip_SR_demo
precip_SR_demo Publicsimple precipitation super-resolution demo in Pytorch-Lightning
Jupyter Notebook
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scikit-bcsd
scikit-bcsd PublicForked from pangeo-data/scikit-downscale
An minimal BCSD package in Python for statistical climate downscaling, modified from `pangeo-data/scikit-downscale`
Jupyter Notebook
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s2s_downloader
s2s_downloader PublicEasily retrieves all available hindcast/realtime data for a selected S2S model. Handles various model forecast strategies.
Python 1
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GAN_weather2climate
GAN_weather2climate PublicCode for the paper "Distribution-Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway using Deep Generative Models"
Python
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