ArticleScientific data2024
A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Drought Stress Mediated Changes in Food Crops: Mechanisms and Remediation Strategies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Shifts in Rhizosphere and Bulk Soil Microbial Communities During the Second and Third Years of Ginseng Cultivation.Microorganisms · 2026Article
- Human contributions to evapotranspiration mitigate swings in dry-to-wet year transitions.Communications sustainability · 2026Article
- Climate warming reduces soil gaseous nitrogen losses in a temperate forest.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Evapotranspiration saturation amplifies climate sensitivity of terrestrial water yield.Nature communications · 2025Article
- Net Ecosystem COGlobal change biology · 2025Article
- Meteorological data implications modeling on evapotranspiration variability in arid and semi-arid zones in Saudi Arabia using hybrid metaheuristic.Scientific reports · 2025Article
- GLEAM4: global land evaporation and soil moisture dataset at 0.1 resolution from 1980 to near present.Scientific data · 2025Article
- Projected hydroclimatic changes in Xinjiang under bias-corrected CMIP6 scenarios.Frontiers in plant science · 2025Article
- A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020.Scientific data · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.