Trend Analysis of High-Resolution Soil Moisture Data Based on GAN in the Three-River-Source Region During the 21st Century

Soil moisture (SM) is a crucial factor in land-atmosphere interactions and climate systems, affecting surface energy, water budgets, and weather extremes. In the Three-River-Source Region (TRSR) of China, rapid climate change necessitates precise SM monitoring. This study employs a novel UNet-Gan mo...

詳細記述

書誌詳細

出版年:	Remote Sensing
主要な著者:	Zhuoqun Li, Siqiong Luo, Xiaoqing Tan, Jingyuan Wang
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-11-01
主題:	soil moisture statistical downscaling CMIP6 Generative Adversarial Network deep learning Three-River-Source Region
オンライン･アクセス:	https://www.mdpi.com/2072-4292/16/23/4367