U-Net: A deep-learning method for improving summer precipitation forecasts in China-Reference-Cited by-同舟云学术

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U-Net: A deep-learning method for improving summer precipitation forecasts in China

Published:2022-12 Issue: Volume: Page:100322
ISSN:1674-2834
Container-title:Atmospheric and Oceanic Science Letters
language:en
Short-container-title:Atmospheric and Oceanic Science Letters

Author:

Deng Qimin,Lu Peirong,Zhao Shuyun,Yuan Naiming

Funder

Natural Science Foundation of Hubei Province

China University of Geosciences

Chinese Universities Scientific Fund

Publisher

Elsevier BV

Subject

Atmospheric Science,Oceanography

Reference29 articles.

1. Soil moisture–precipitation feedback processes in the Indian summer monsoon season;Asharaf;J. Hydrometeorol.,2012

2. More extreme precipitation in the world's dry and wet regions;Donat;Nat. Clim. Chang.,2016

3. Medical image segmentation based on U-Net: a review;Du;J. Imaging Sci. Technol.,2020

4. Improvements of the sub-seasonal precipitation predicted by the BCC_S2S forecast system over eastern China in summer using the singular value decomposition bias correction method;Fu;Front. Earth Sci.,2022

5. EN4: quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates;Good;J. Geophys. Res. Oceans,2013

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