Deep learning-based quantitative analyses of feedback in the land-atmosphere interactions over the Vietnamese Mekong Delta-Reference-Cited by-同舟云学术

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Deep learning-based quantitative analyses of feedback in the land-atmosphere interactions over the Vietnamese Mekong Delta

Published:2024-11 Issue: Volume:949 Page:175119
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Zhou Keke,Shi Xiaogang

Funder

Royal Society

Publisher

Elsevier BV

Reference84 articles.

1. Global warming and changes in risk of concurrent climate extremes: Insights from the 2014 California drought;AghaKouchak;Geophys. Res. Lett.,2014

2. Pervasive drought legacies in forest ecosystems and their implications for carbon cycle models;Anderegg;Science,2015

3. Land-atmosphere feedbacks amplify aridity increase over land under global warming;Berg;Nat. Clim. Chang.,2016

4. Accurate medium-range global weather forecasting with 3D neural networks;Bi;Nature,2023

5. Non-Hydrostatic RegCM4 (RegCM4-NH): Model description and case studies over multiple domains;Coppola;Geosci. Model Dev.,2021

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