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.
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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34 citations as recorded by crossref.
- Spatiotemporal dynamics of soil moisture in edge zones along deep-cut channels of rainfed agricultural plateaus S. Wu et al.
- A Study on the Classification of Shrubs and Grasses on the Tibetan Plateau Based on Unmanned Aerial Vehicle Multispectral Imagery X. Chen et al.
- Advances in GRACE satellite studies on terrestrial water storage: a comprehensive review J. Karki et al.
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- Seasonal variations of vegetative indices and their correlation with evapotranspiration and soil water storage in a small agricultural catchment T. Li et al.
- Reconstructing and downscaling terrestrial water storage to Reveal vegetation–water coupling across continuous areas of Western China-Central Asia-Western Asia under climate warming J. Wang et al.
- 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
- Advancing streamflow prediction in data-scarce regions through vegetation-constrained distributed hybrid ecohydrological models L. Zhong et al.
- 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.
- Evaluating Terrestrial Water Storage, Fluxes, and Drivers in the Pearl River Basin from Downscaled GRACE/GFO and Hydrometeorological Data Y. Xiong et al.
- Terrestrial Water Storage Dynamics: Different Roles of Climate Variability, Vegetation Change, and Human Activities across Climate Zones in China S. Deng et al.
- A fast physically-guided emulator of MATSIRO land surface model R. Olson et al.
- H2MV (v1.0): global physically constrained deep learning water cycle model with vegetation Z. Baghirov et al.
- Global distribution pattern in characteristics of gross primary productivity response to soil water availability S. Bao et al.
- Identifying Vegetation Succession Sites to Repurpose as Storage Spaces in the Alluvial Plain of the Lower Tone River Basin, Japan M. So & S. Yokota
- Diagnosing modeling errors in global terrestrial water storage interannual variability H. Lee et al.
- Effects of different climatic conditions on soil water storage patterns A. Ehrhardt et al.
- Water consumption of sparse vegetation and optimal vegetation cover considering water use in Northern China L. Feng et al.
- Climate sensitivity and attribution analysis of water resources in China Y. Zhao et al.
- Impact of Plant–Water Interactions on Long-Term Simulations in Deep-Rooted Plantations Using Noah Land Surface Model with Multiparameterization Options (Noah-MP) H. Feng et al.
- Divergent determinants on interannual variability of terrestrial water cycle across the globe J. Zhu et al.
- Evaluation of the impact of the biomass on GRACE-borne total water storage estimates in the Amazon Basin L. Földváry & M. Aminjanova
- Water use strategies of sparse vegetation in the desertification area determine the future trends of afforestation L. Feng et al.
- Quantifying anthropogenic impacts on water conservation and exploring enhancement pathways within a coupled nature-society framework Y. Sui et al.
- Rooting depth uncertainty from hydrological perspectives with a focus on water-stressed regions H. Zhu et al.
- Using Satellite-Based Terrestrial Water Storage Data: A Review V. Humphrey et al.
- Towards a Global Water Use Scarcity Risk Assessment Framework: Integration of Remote Sensing and Geospatial Datasets Y. Wang et al.
- Towards hybrid modeling of the global hydrological cycle B. Kraft et al.
- Precipitation Governs Terrestrial Water Storage Anomaly Decline in the Hengduan Mountains Region, China, Amid Climate Change X. Li et al.
- A GNSS-based standardized index for near-real-time monitoring of the spatiotemporal evolution of droughts Q. Zhao et al.
- Calibrating global hydrological models with GRACE TWS: does river storage matter? T. Trautmann et al.
- Knowledge-guided hybrid AI framework for GRACE data reconstruction and generalization in South Asia: A spatiotemporal perspective P. Paramaguru et al.
Saved (final revised paper)
Latest update: 28 Apr 2026
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...