Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-1089-2022
© Author(s) 2022. 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-26-1089-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Feb 2022
Research article |
| 24 Feb 2022
| 24 Feb 2022
The importance of vegetation in understanding terrestrial water storage variations
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
International Max Planck Research School for Global Biogeochemical Cycles, 07745 Jena, Germany
Sujan Koirala
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Nuno Carvalhais
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Universidade Nova de Lisboa, Caparica, 2829-516, Portugal
Andreas Güntner
Helmholtz Centre Potsdam GFZ German Research Centre For Geosciences, 14473 Potsdam, Germany
Institute of Environmental Sciences and Geography, University of Potsdam, 14476 Potsdam, Germany
Martin Jung
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
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17 citations as recorded by crossref.
- Diagnosing modeling errors in global terrestrial water storage interannual variability H. Lee et al. 10.5194/hess-27-1531-2023
- A Study on the Classification of Shrubs and Grasses on the Tibetan Plateau Based on Unmanned Aerial Vehicle Multispectral Imagery X. Chen et al. 10.3390/rs16214106
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- Benchmarking multimodel terrestrial water storage seasonal cycle against Gravity Recovery and Climate Experiment (GRACE) observations over major global river basins S. Bibi et al. 10.5194/hess-28-1725-2024
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- Divergent determinants on interannual variability of terrestrial water cycle across the globe J. Zhu et al. 10.1016/j.scitotenv.2024.174046
- Using Satellite-Based Terrestrial Water Storage Data: A Review V. Humphrey et al. 10.1007/s10712-022-09754-9
- Seasonal variations of vegetative indices and their correlation with evapotranspiration and soil water storage in a small agricultural catchment T. Li et al. 10.17221/60/2023-SWR
- Spatial and Temporal Evolution Characteristics of Water Conservation in the Three-Rivers Headwater Region and the Driving Factors over the Past 30 Years Y. Pan & Y. Yin 10.3390/atmos14091453
- Advancing streamflow prediction in data-scarce regions through vegetation-constrained distributed hybrid ecohydrological models L. Zhong et al. 10.1016/j.jhydrol.2024.132165
- The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins H. Hasan et al. 10.5194/hess-29-567-2025
- Towards hybrid modeling of the global hydrological cycle B. Kraft et al. 10.5194/hess-26-1579-2022
- Terrestrial Water Storage Dynamics: Different Roles of Climate Variability, Vegetation Change, and Human Activities across Climate Zones in China S. Deng et al. 10.3390/f13101541
- A fast physically-guided emulator of MATSIRO land surface model R. Olson et al. 10.1016/j.jhydrol.2024.131093
- Calibrating global hydrological models with GRACE TWS: does river storage matter? T. Trautmann et al. 10.1088/2515-7620/acece5
1 citations as recorded by crossref.
Latest update: 20 May 2025
Short summary
We assess the effect of how vegetation is defined in a global hydrological model on the composition of total water storage (TWS). We compare two experiments, one with globally uniform and one with vegetation parameters that vary in space and time. While both experiments are constrained against observational data, we found a drastic change in the partitioning of TWS, highlighting the important role of the interaction between groundwater–soil moisture–vegetation in understanding TWS variations.
We assess the effect of how vegetation is defined in a global hydrological model on the...
