Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-821-2017
© Author(s) 2017. 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-21-821-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations
Liangjing Zhang
CORRESPONDING AUTHOR
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Henryk Dobslaw
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Tobias Stacke
Max Planck Institute for Meteorology, Hamburg, Germany
Andreas Güntner
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Robert Dill
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Maik Thomas
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Institute of Meteorology, Free University of Berlin, Berlin, Germany
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Cited
42 citations as recorded by crossref.
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- Assessment of Three Common Methods for Estimating Terrestrial Water Storage Change with Three Reanalysis Datasets S. Deng et al. 10.1175/JCLI-D-18-0637.1
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41 citations as recorded by crossref.
- The annual cycle of terrestrial water storage anomalies in CMIP6 models evaluated against GRACE data R. Wu et al. 10.1175/JCLI-D-21-0021.1
- Predictive Skill Assessment for Land Water Storage in CMIP5 Decadal Hindcasts by a Global Reconstruction of GRACE Satellite Data L. Jensen et al. 10.1175/JCLI-D-20-0042.1
- Vertical Displacement Caused by Hydrological Influence in the Amazon Basin L. Ferreira et al. 10.1029/2020JB020691
- Reconstruction of continuous GRACE/GRACE-FO terrestrial water storage anomalies based on time series decomposition X. Yang et al. 10.1016/j.jhydrol.2021.127018
- The importance of vegetation in understanding terrestrial water storage variations T. Trautmann et al. 10.5194/hess-26-1089-2022
- Diagnosing modeling errors in global terrestrial water storage interannual variability H. Lee et al. 10.5194/hess-27-1531-2023
- Global evaluation of model agreement and uncertainty in terrestrial water storage simulations from ISIMIP 2b framework J. Ju et al. 10.1016/j.jhydrol.2023.129137
- Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study T. Veldkamp et al. 10.1088/1748-9326/aab96f
- Benchmarking global hydrological and land surface models against GRACE in a medium-sized tropical basin S. Bolaños Chavarría et al. 10.5194/hess-26-4323-2022
- Terrestrial water storage variations and their effect on polar motion J. Śliwińska et al. 10.1007/s11600-018-0227-x
- Characteristics of groundwater drought and its correlation with meteorological and agricultural drought over the North China Plain based on GRACE Q. Liu et al. 10.1016/j.ecolind.2024.111925
- The Challenge of Spatial Resolutions for GRACE-Based Estimates Volume Changes of Larger Man-Made Lake: The Case of China’s Three Gorges Reservoir in the Yangtze River L. Wang et al. 10.3390/rs11010099
- Autoregressive Reconstruction of Total Water Storage within GRACE and GRACE Follow-On Gap Period A. Lenczuk et al. 10.3390/en15134827
- GRACEfully Closing the Water Balance: A Data‐Driven Probabilistic Approach Applied to River Basins in Iran G. Schoups & M. Nasseri 10.1029/2020WR029071
- Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al. 10.1080/02626667.2019.1683182
- Assessment and attribution of China’s droughts using an integrated drought index derived from GRACE and GRACE-FO data S. Deng et al. 10.1016/j.jhydrol.2021.127170
- Random Forest-Based Reconstruction and Application of the GRACE Terrestrial Water Storage Estimates for the Lancang-Mekong River Basin S. Tang et al. 10.3390/rs13234831
- Reconstruction of GRACE Mass Change Time Series Using a Bayesian Framework A. Rateb et al. 10.1029/2021EA002162
- HydroPy (v1.0): a new global hydrology model written in Python T. Stacke & S. Hagemann 10.5194/gmd-14-7795-2021
- Analysis of the 2014 Wet Extreme in Bulgaria: Anomalies of Temperature, Precipitation and Terrestrial Water Storage B. Mircheva et al. 10.3390/hydrology7030066
- River flow response to deforestation: Contrasting results from different models J. Posada-Marín & J. Salazar 10.1016/j.wasec.2022.100115
- Regional Characteristics and Impact Factors of Change in Terrestrial Water Storage in Northwestern China From 2002 to 2020 J. Yin et al. 10.1109/JSTARS.2022.3224864
- Understanding terrestrial water storage variations in northern latitudes across scales T. Trautmann et al. 10.5194/hess-22-4061-2018
- The food‐energy‐water nexus: Transforming science for society B. Scanlon et al. 10.1002/2017WR020889
- GRACE-derived groundwater changes over Greater Horn of Africa: Temporal variability and the potential for irrigated agriculture N. Agutu et al. 10.1016/j.scitotenv.2019.07.273
- Anthropogenic coal mining reducing groundwater storage in the Yellow River Basin L. Wang et al. 10.1016/j.scitotenv.2024.178120
- Tracking Seasonal Fluctuations in Land Water Storage Using Global Models and GRACE Satellites B. Scanlon et al. 10.1029/2018GL081836
- Assessment of the ParFlow–CLM CONUS 1.0 integrated hydrologic model: evaluation of hyper-resolution water balance components across the contiguous United States M. O'Neill et al. 10.5194/gmd-14-7223-2021
- GRACE-REC: a reconstruction of climate-driven water storage changes over the last century V. Humphrey & L. Gudmundsson 10.5194/essd-11-1153-2019
- Development of the Community Water Model (CWatM v1.04) – a high-resolution hydrological model for global and regional assessment of integrated water resources management P. Burek et al. 10.5194/gmd-13-3267-2020
- Widespread decline in terrestrial water storage and its link to teleconnections across Asia and eastern Europe X. Liu et al. 10.5194/hess-24-3663-2020
- Analysis of Groundwater and Total Water Storage Changes in Poland Using GRACE Observations, In-situ Data, and Various Assimilation and Climate Models J. Śliwińska et al. 10.3390/rs11242949
- A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments P. Yeste et al. 10.5194/hess-28-5331-2024
- Evaluation of GRACE mascon solutions using in-situ geodetic data: The case of hydrologic-induced crust displacement in the Yangtze River Basin L. Wang et al. 10.1016/j.scitotenv.2019.135606
- Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data B. Scanlon et al. 10.1073/pnas.1704665115
- Study on the inter-annual hydrology-induced deformations in Europe using GRACE and hydrological models A. Lenczuk et al. 10.1515/jag-2020-0017
- Improving the Accuracy of Water Storage Anomaly Trends Based on a New Statistical Correction Hydrological Model Weighting Method Q. Wang et al. 10.3390/rs13183583
- Long‐Term Wetting and Drying Trends in Land Water Storage Derived From GRACE and CMIP5 Models L. Jensen et al. 10.1029/2018JD029989
- Assessment of Three Common Methods for Estimating Terrestrial Water Storage Change with Three Reanalysis Datasets S. Deng et al. 10.1175/JCLI-D-18-0637.1
- Importance of Surface Roughness for the Local Biogeophysical Effects of Deforestation J. Winckler et al. 10.1029/2018JD030127
- 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
Latest update: 25 Dec 2024
Short summary
Global numerical models perform differently, as has been found in some model intercomparison studies, which mainly focused on components like evapotranspiration, soil moisture or runoff. We have applied terrestrial water storage that is estimated from a GRACE-based state-of-art post-processing method to validate four global numerical models and try to identify the advantages and deficiencies of a certain model. GRACE-based TWS demonstrates its additional benefits to improve the models in future.
Global numerical models perform differently, as has been found in some model intercomparison...