Scientific Data (May 2024)

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

  • Kun Zhang,
  • Huiling Chen,
  • Ning Ma,
  • Shasha Shang,
  • Yunquan Wang,
  • Qinglin Xu,
  • Gaofeng Zhu

DOI
https://doi.org/10.1038/s41597-024-03271-7
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 16

Abstract

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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.