Improving global soil moisture prediction through cluster-averaged sampling strategy-Reference-Cited by-同舟云学术

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Improving global soil moisture prediction through cluster-averaged sampling strategy

Published:2024-09 Issue: Volume:449 Page:116999
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Li Qingliang,Xiao Qiyun,Zhang Cheng,Zhu Jinlong,Chen Xiao,Yan Yuguang,Liu Pingping,Shangguan Wei,Wei Zhongwang,Li Lu,Dong Wenzong,Dai Yongjiu

Funder

National Aerospace Science Foundation of China

Major State Basic Research Development Program of China

National Science and Technology Planning Project

Publisher

Elsevier BV

Reference45 articles.

1. Dependence of soil respiration on soil moisture, clay content, soil organic matter, and CO2 uptake in dry grasslands;Balogh;Soil Biol. Biochem.,2011

2. Present and future Köppen-Geiger climate classification maps at 1-km resolution;Beck;Sci. Data,2018

3. A physically based, variable contributing area model of basin hydrology/Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant;Beven;Hydrol. Sci. J.,1979

4. The land surface climatology of the NCAR land surface model coupled to the NCAR community climate model;Bonan;J. Clim.,1998

5. Improving the representation of hydrologic processes in Earth System Models;Clark;Water Resour. Res.,2015

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