A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020

被引:8
|
作者
Zhang, Kun [1 ,2 ]
Chen, Huiling [3 ]
Ma, Ning [4 ]
Shang, Shasha [5 ]
Wang, Yunquan [6 ]
Xu, Qinglin [7 ]
Zhu, Gaofeng [8 ]
机构
[1] Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Zhuhai, Peoples R China
[2] Univ Hong Kong, Sch Biol Sci, Hong Kong, Peoples R China
[3] Zhejiang Normal Univ, Coll Geog & Environm Sci, Jinhua, Peoples R China
[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
[5] Tianjin Normal Univ, Tianjin Key Lab Water Resources & Environm, Tianjin, Peoples R China
[6] China Univ Geosci, Sch Environm Studies, Wuhan, Peoples R China
[7] 404 Co Ltd, CNNC, Lanzhou, Peoples R China
[8] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
LAND EVAPORATION; GROUNDWATER; VARIABILITY; CLIMATE; MODEL; TRANSPIRATION; PRECIPITATION; TEMPERATURE; VALIDATION; PATTERNS;
D O I
10.1038/s41597-024-03271-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Quantifying terrestrial evapotranspiration (ET) and soil moisture dynamics accurately is crucial for understanding the global water cycle and surface energy balance. We present a novel, long-term dataset of global ET and soil moisture derived from the newly developed Simple Terrestrial Hydrosphere model, version 2 (SiTHv2). This ecohydrological model, driven by multi-source satellite observations and hydrometeorological variables from reanalysis data, provides daily global ET-related estimates (e.g., total ET, plant transpiration, soil evaporation, intercepted evaporation) and three-layer soil moisture dynamics at a 0.1 degrees spatial resolution. Validation with in-situ measurements and comparisons with mainstream global ET and soil moisture products demonstrate robust performance of SiTHv2 in both magnitude and temporal dynamics of ET and soil moisture at multiple scales. The comprehensive water path characterization in the SiTHv2 model makes this seamless dataset particularly valuable for studies requiring synchronized water budget and vegetation response to water constraints. With its long-term coverage and high spatiotemporal resolution, the SiTHv2-derived ET and soil moisture product will be suitable to support analyses related to the hydrologic cycle, drought assessment, and ecosystem health.
引用
收藏
页数:16
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