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
Data sets
GLDAS Noah Land Surface Model L4 3 hourly 0.25 x 0.25 degree V2.1 H. Beaudoing and M. Rodell https://doi.org/10.5067/E7TYRXPJKWOQ
GPM IMERG Late Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 G. J. Huffman, E. F. Stocker, D. T. Bolvin, E. J. Nelkin, and J. Tan https://doi.org/10.5067/GPM/IMERG/3B-HH-L/06
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...