Articles | Volume 20, issue 4
https://doi.org/10.5194/hess-20-1459-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-1459-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Apr 2016
Research article |
| 19 Apr 2016
Global root zone storage capacity from satellite-based evaporation
Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
Wim G. M. Bastiaanssen
Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
UNESCO-IHE Institute for Water Education, Delft, the Netherlands
Hongkai Gao
Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
Global Institute of Sustainability, Arizona State University, Tempe, AZ 85287, USA
Jonas Jägermeyr
Research Domain Earth System Analysis, Potsdam Institute for Climate Impact Research, Potsdam, Germany
Gabriel B. Senay
US Geological Survey, Earth Resources Observation and Science Centre, North Central Climate Science Centre, Fort Collins, CO, USA
Albert I. J. M. van Dijk
Fenner School of Environment and Society, The Australian National University, Canberra, Australia
CSIRO Land and Water, Canberra, Australia
Juan P. Guerschman
CSIRO Land and Water, Canberra, Australia
Patrick W. Keys
Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Line J. Gordon
Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
Hubert H. G. Savenije
Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
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Latest update: 08 Nov 2025
Short summary
We present an "Earth observation-based" method for estimating root zone storage capacity – a critical parameter in land surface modelling that represents the maximum amount of soil moisture available for vegetation. Variability within a land cover type is captured, and a global model evaporation simulation is overall improved, particularly in sub-humid to humid regions with seasonality. This new method can eliminate the need for unreliable soil and root depth data in land surface modelling.
We present an "Earth observation-based" method for estimating root zone storage capacity – a...
