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Multiscale spatiotemporal meteorological drought prediction:A deep learning approach

Jia-Li ZHANG Xiao-Meng HUANG Yu-Ze SUN

气候变化研究进展（英文版）2024，Vol.15Issue(2)：211-221,11.

气候变化研究进展（英文版）2024，Vol.15Issue(2)：211-221,11.DOI:10.1016/j.accre.2024.04.003

Multiscale spatiotemporal meteorological drought prediction:A deep learning approach

Jia-Li ZHANG ¹Xiao-Meng HUANG ¹Yu-Ze SUN¹

作者信息

1. Department of Earth System Science,Ministry of Education Key Laboratory for Earth System Modelling,Institute for Global Change Studies,Tsinghua University,Beijing 100084,China
折叠

摘要

关键词

Meteorological drought/Spatiotemporal prediction/Multiscale/Swim transformer/Deep learning

Key words

Meteorological drought/Spatiotemporal prediction/Multiscale/Swim transformer/Deep learning

引用本文复制引用

Jia-Li ZHANG,Xiao-Meng HUANG,Yu-Ze SUN..Multiscale spatiotemporal meteorological drought prediction:A deep learning approach[J].气候变化研究进展（英文版）,2024,15(2):211-221,11.

基金项目

This work is supported by the National Key Research and Development Program of China(2022YFE0195900,2021YFC3101600,2020YFA0607900,and 2020YFA0608000)and the National Natural Science Foundation of China(42125503 and 42075137). （2022YFE0195900,2021YFC3101600,2020YFA0607900,and 2020YFA0608000）

气候变化研究进展（英文版）

ISSN：1674-9278

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