Abstract
To address global water security issues, it is important to understand the evolving global water system and its natural and anthropogenic influencing factors [...]
Highlights
In this Special Issue, most studies used data acquired by various satellite and/or ground-based sensors to characterize the change in the terrestrial water cycle
Wang et al [4] proposed a latent heat flux (LE) algorithm based on a novel microwave vegetation index (EDVI) instead of the optical vegetation index that was commonly used in previous studies
Xu et al [7] applied various statistical indicators to evaluate the main current satellite-based quantitative precipitation estimate (QPE) products over China. They found that the Chinese Fengyun (FY)-2G QPE and the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) products performed significantly better than FY-2E QPE
Summary
In this Special Issue, most studies used data acquired by various satellite and/or ground-based sensors to characterize the change in the terrestrial water cycle. The method has been demonstrated in previous studies [6], the authors addressed a potential approach for understanding the model performance associated with the errors in precipitation input.
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