Understanding shallow soil moisture variation in the data-scarce area and its relationship with climate change by GLDAS data.

ABSTRACT: Quantitatively evaluating the spatiotemporal variation of soil moisture (SM) and its causes can help us to understand regional eco-hydrological processes. However, the complicated geographical environment and the scarce observation data make it difficult to evaluate SM in Northwest China. Selecting the Tarim River Basin (TRB) as a typical representative of the data-scarce area in Northwest China, we conducted an integrated approach to quantitatively assess the spatiotemporal variation of shallow soil moisture (SSM) and its responses to climate change by gathering the earth system data product. Results show that the low-value of SSM distributes in Taklamakan Desert while the high-value basically distributes in the Pamirs and the southern foothill of Tianshan Mountains, where the land types

SUBMITTER: Zuo J 

PROVIDER: S-EPMC6530845 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature