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A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020.
Zhang, Kun; Chen, Huiling; Ma, Ning; Shang, Shasha; Wang, Yunquan; Xu, Qinglin; Zhu, Gaofeng.
Afiliación
  • Zhang K; School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai, China. zhangkun3@mail.sysu.edu.cn.
  • Chen H; School of Biological Sciences, The University of Hong Kong, Hong Kong, China. zhangkun3@mail.sysu.edu.cn.
  • Ma N; College of Geography and Environmental Science, Zhejiang Normal University, Jinhua, China.
  • Shang S; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
  • Wang Y; Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, China.
  • Xu Q; School of Environmental Studies, China University of Geosciences, Wuhan, China.
  • Zhu G; The 404 Company Limited, CNNC, Lanzhou, China.
Sci Data ; 11(1): 445, 2024 May 03.
Article en En | MEDLINE | ID: mdl-38702315
ABSTRACT
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° 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.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: China
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