Articles | Volume 25, issue 1
https://doi.org/10.5194/hess-25-17-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-17-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
Diego G. Miralles
Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, Belgium
Rolf H. Reichle
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Wouter A. Dorigo
Department of Geodesy and Geoinformation (GEO), Vienna University of Technology, Vienna, Austria
Sebastian Hahn
Department of Geodesy and Geoinformation (GEO), Vienna University of Technology, Vienna, Austria
Justin Sheffield
School of Geography and Environmental Science, University of Southampton, Southampton, United Kingdom
Lanka Karthikeyan
Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India
Gianpaolo Balsamo
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Robert M. Parinussa
School of Geographic Sciences, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, People's Republic of China
Albert I. J. M. van Dijk
Fenner School of Environment and Society, Australian National University, Canberra, Australian Capital Territory, Australia
Jinyang Du
Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT 59801, USA
John S. Kimball
Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT 59801, USA
Noemi Vergopolan
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
Eric F. Wood
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
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122 citations as recorded by crossref.
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- Global estimates of daily evapotranspiration using SMAP surface and root-zone soil moisture Y. Kim et al. 10.1016/j.rse.2023.113803
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- Comprehensive evaluation of satellite-based and reanalysis soil moisture products using in situ observations over China X. Ling et al. 10.5194/hess-25-4209-2021
- Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
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- Towards near real-time national-scale soil water content monitoring using data fusion as a downscaling alternative I. Fuentes et al. 10.1016/j.jhydrol.2022.127705
- Reconstruction of a Global 9 km, 8-Day SMAP Surface Soil Moisture Dataset during 2015–2020 by Spatiotemporal Fusion H. Yang et al. 10.34133/2022/9871246
- Integration of microwave satellite soil moisture products in the contextual surface temperature-vegetation index models for spatially continuous evapotranspiration estimation W. Zhu et al. 10.1016/j.isprsjprs.2023.08.004
- Soil moisture content retrieval from Landsat 8 data using ensemble learning Y. Zhang et al. 10.1016/j.isprsjprs.2022.01.005
- Soil moisture-evaporation coupling shifts into new gears under increasing CO2 H. Hsu & P. Dirmeyer 10.1038/s41467-023-36794-5
- A data-driven model for Fennoscandian wildfire danger S. Bakke et al. 10.5194/nhess-23-65-2023
- Extreme Compound and Seesaw Hydrometeorological Events in New Zealand: An Initial Assessment M. Bennet et al. 10.1029/2022JD038346
- Using distributed root soil moisture data to enhance the performance of rainfall thresholds for landslide warning Y. Guo et al. 10.1007/s11069-022-05588-1
- InterComparison and Evaluation of MultiSource Soil Moisture Products in China H. Li et al. 10.1029/2021EA001845
- Tree-ring δ18Ocellulose variations in two Nothofagus species record large-scaleclimatic signals in the South American sector of the Southern Ocean P. Soto-Rogel et al. 10.1016/j.palaeo.2023.111474
- SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US N. Vergopolan et al. 10.1038/s41597-021-01050-2
- Groundwater sustainability assessment in the Middle East using GRACE/GRACE-FO data Z. Nikraftar et al. 10.1007/s10040-023-02717-3
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- Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning Q. Li et al. 10.1016/j.jhydrol.2021.126698
- Incorporating Advanced Scatterometer Surface and Root Zone Soil Moisture Products into the Calibration of a Conceptual Semi-Distributed Hydrological Model M. Kubáň et al. 10.3390/w13233366
- The lagged effect and impact of soil moisture drought on terrestrial ecosystem water use efficiency Y. Ji et al. 10.1016/j.ecolind.2021.108349
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Latest update: 03 Dec 2023
Short summary
We evaluated the largest and most diverse set of surface soil moisture products ever evaluated in a single study. We found pronounced differences in performance among individual products and product groups. Our results provide guidance to choose the most suitable product for a particular application.
We evaluated the largest and most diverse set of surface soil moisture products ever evaluated...