Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-2053-2017
© 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-21-2053-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Apr 2017
Research article |
| 18 Apr 2017
Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model
Natthachet Tangdamrongsub
CORRESPONDING AUTHOR
Department of Geoscience and Remote Sensing, Faculty of Civil
Engineering and Geosciences, Delft University of Technology, Delft, the
Netherlands
School of Engineering, Faculty of Engineering and Built Environment, The
University of Newcastle, Callaghan, New South Wales, Australia
Susan C. Steele-Dunne
Department of Water Resources, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Delft, the Netherlands
Brian C. Gunter
Department of Geoscience and Remote Sensing, Faculty of Civil
Engineering and Geosciences, Delft University of Technology, Delft, the
Netherlands
School of Aerospace Engineering, Georgia Institute of Technology,
Atlanta, GA, USA
Pavel G. Ditmar
Department of Geoscience and Remote Sensing, Faculty of Civil
Engineering and Geosciences, Delft University of Technology, Delft, the
Netherlands
Edwin H. Sutanudjaja
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Yu Sun
Department of Geoscience and Remote Sensing, Faculty of Civil
Engineering and Geosciences, Delft University of Technology, Delft, the
Netherlands
Ting Xia
Department of Hydraulic Engineering, Tsinghua University, Beijing, China
Zhongjing Wang
Department of Hydraulic Engineering, Tsinghua University, Beijing, China
State Key Lab of Hydroscience and Engineering, Tsinghua University, Beijing, China
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Cited
48 citations as recorded by crossref.
- The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang 10.3390/w11081615
- Comparison of physical and data-driven models to forecast groundwater level changes with the inclusion of GRACE – A case study over the state of Victoria, Australia W. Yin et al. 10.1016/j.jhydrol.2021.126735
- Enhanced calibration of a distributed hydrological model in the Brazilian Semi-Arid: integrating spatiotemporal evapotranspiration and streamflow data P. de Lima Ferreira & A. da Paz 10.1007/s12665-024-11663-6
- The Assessment of Hydrologic- and Flood-Induced Land Deformation in Data-Sparse Regions Using GRACE/GRACE-FO Data Assimilation N. Tangdamrongsub & M. Šprlák 10.3390/rs13020235
- Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model W. Yin et al. 10.1016/j.jhydrol.2020.125348
- Downscaling Simulation of Groundwater Storage in the Beijing, Tianjin, and Hebei Regions of China Based on GRACE Data J. Sun et al. 10.3390/rs15061490
- Evaluating a finer resolution global hydrological model’s simulation of discharge in four West-African river basins T. Babalola et al. 10.1007/s40808-020-00948-x
- A multi-objective calibration approach using in-situ soil moisture data for improved hydrological simulation of the Prairies S. Budhathoki et al. 10.1080/02626667.2020.1715982
- Quantifying water storage change and land subsidence induced by reservoir impoundment using GRACE, Landsat, and GPS data N. Tangdamrongsub et al. 10.1016/j.rse.2019.111385
- Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables T. Denager et al. 10.5194/hess-27-2827-2023
- Common irrigation drivers of freshwater salinisation in river basins worldwide J. Thorslund et al. 10.1038/s41467-021-24281-8
- Spatial and temporal downscaling schemes to reconstruct high-resolution GRACE data: A case study in the Tarim River Basin, Northwest China D. Xue et al. 10.1016/j.scitotenv.2023.167908
- Groundwater analysis using Gravity Recovery, Climate Experiment and Google Earth Engine: Bundelkhand region, India V. Singh et al. 10.1016/j.pce.2023.103401
- Unsupervised ensemble Kalman filtering with an uncertain constraint for land hydrological data assimilation M. Khaki et al. 10.1016/j.jhydrol.2018.06.080
- Evaluation of Groundwater Storage Variations Estimated from GRACE Data Assimilation and State-of-the-Art Land Surface Models in Australia and the North China Plain N. Tangdamrongsub et al. 10.3390/rs10030483
- Constructing GRACE-Based 1 km Resolution Groundwater Storage Anomalies in Arid Regions Using an Improved Machine Learning Downscaling Method: A Case Study in Alxa League, China J. Wang et al. 10.3390/rs15112913
- Data Assimilation of Terrestrial Water Storage Observations to Estimate Precipitation Fluxes: A Synthetic Experiment M. Girotto et al. 10.3390/rs13061223
- Improving hydrological simulations by incorporating GRACE data for model calibration P. Bai et al. 10.1016/j.jhydrol.2017.12.025
- Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates N. Tangdamrongsub et al. 10.1016/j.advwatres.2019.103477
- Comparison of Data Fusion Methods in Fusing Satellite Products and Model Simulations for Estimating Soil Moisture on Semi-Arid Grasslands Y. Zhu et al. 10.3390/rs15153789
- Ecohydrologic model with satellite-based data for predicting streamflow in ungauged basins J. Choi et al. 10.1016/j.scitotenv.2023.166617
- Characterizing the drought events in Yangtze River basin via the insight view of its sub-basins water storage variations W. Ma et al. 10.1016/j.jhydrol.2024.130995
- Characterizing Drought and Flood Events over the Yangtze River Basin Using the HUST-Grace2016 Solution and Ancillary Data H. Zhou et al. 10.3390/rs9111100
- Deep dive into predictive excellence: Transformer's impact on groundwater level prediction W. Sun et al. 10.1016/j.jhydrol.2024.131250
- Assimilating multivariate remote sensing data into a fully coupled subsurface-land surface hydrological model S. Sadat Soltani et al. 10.1016/j.jhydrol.2024.131812
- Development and evaluation of 0.05° terrestrial water storage estimates using Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and assimilation of GRACE data N. Tangdamrongsub et al. 10.5194/hess-25-4185-2021
- SHADE: A MATLAB toolbox and graphical user interface for the empirical de-correlation of GRACE monthly solutions D. Piretzidis & M. Sideris 10.1016/j.cageo.2018.06.012
- Improving understanding of spatiotemporal water storage changes over China based on multiple datasets W. Yin et al. 10.1016/j.jhydrol.2022.128098
- Inland Waters Increasingly Produce and Emit Nitrous Oxide J. Wang et al. 10.1021/acs.est.3c04230
- Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. 10.1029/2019WR026085
- Assimilation of GRACE Follow‐On Inter‐Satellite Laser Ranging Measurements Into Land Surface Models M. Khaki et al. 10.1029/2022WR032432
- Improving the resolution of GRACE-based water storage estimates based on machine learning downscaling schemes W. Yin et al. 10.1016/j.jhydrol.2022.128447
- Geodetic first order data assimilation using an extended Kalman filtering technique I. Kalu et al. 10.1007/s12145-022-00869-6
- Temporal and Spatial Variation Analysis of Groundwater Stocks in Xinjiang Based on GRACE Data L. Duan et al. 10.3390/rs16050813
- A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux M. Tourian et al. 10.1016/j.rse.2023.113685
- 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
- Land subsidence and groundwater storage investigation with multi sensor and extended Kalman filter O. Memarian Sorkhabi et al. 10.1016/j.gsd.2022.100859
- On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia N. Tangdamrongsub et al. 10.5194/hess-22-1811-2018
- Improved Understanding of Groundwater Storage Changes under the Influence of River Basin Governance in Northwestern China Using GRACE Data X. Liu et al. 10.3390/rs13142672
- How to quantify the accuracy of mass anomaly time-series based on GRACE data in the absence of knowledge about true signal? P. Ditmar 10.1007/s00190-022-01640-x
- A two-update ensemble Kalman filter for land hydrological data assimilation with an uncertain constraint M. Khaki et al. 10.1016/j.jhydrol.2017.10.032
- Identifying Flood Events over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations, Hydrological Models and In Situ Data H. Zhou et al. 10.3390/rs10050713
- Review of assimilating GRACE terrestrial water storage data into hydrological models: Advances, challenges and opportunities S. Soltani et al. 10.1016/j.earscirev.2020.103487
- Combining Hydrological Models and Remote Sensing to Characterize Snowpack Dynamics in High Mountains J. Ougahi & J. Rowan 10.3390/rs16020264
- The need for a multi-pollutant approach to model the movement of pollutants in surface-water: A review of status and future challenges S. Wali 10.55529/ijaap.11.26.58
- Tradeoffs Between Temporal and Spatial Pattern Calibration and Their Impacts on Robustness and Transferability of Hydrologic Model Parameters to Ungauged Basins M. Demirel et al. 10.1029/2022WR034193
- Aquifer Depletion in the Arlit Mining Area (Tim Mersoï Basin, North Niger) F. Dobi et al. 10.3390/w13121685
- Global drought risk in cities: present and future urban hotspots T. Stolte et al. 10.1088/2515-7620/ad0210
48 citations as recorded by crossref.
- The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang 10.3390/w11081615
- Comparison of physical and data-driven models to forecast groundwater level changes with the inclusion of GRACE – A case study over the state of Victoria, Australia W. Yin et al. 10.1016/j.jhydrol.2021.126735
- Enhanced calibration of a distributed hydrological model in the Brazilian Semi-Arid: integrating spatiotemporal evapotranspiration and streamflow data P. de Lima Ferreira & A. da Paz 10.1007/s12665-024-11663-6
- The Assessment of Hydrologic- and Flood-Induced Land Deformation in Data-Sparse Regions Using GRACE/GRACE-FO Data Assimilation N. Tangdamrongsub & M. Šprlák 10.3390/rs13020235
- Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model W. Yin et al. 10.1016/j.jhydrol.2020.125348
- Downscaling Simulation of Groundwater Storage in the Beijing, Tianjin, and Hebei Regions of China Based on GRACE Data J. Sun et al. 10.3390/rs15061490
- Evaluating a finer resolution global hydrological model’s simulation of discharge in four West-African river basins T. Babalola et al. 10.1007/s40808-020-00948-x
- A multi-objective calibration approach using in-situ soil moisture data for improved hydrological simulation of the Prairies S. Budhathoki et al. 10.1080/02626667.2020.1715982
- Quantifying water storage change and land subsidence induced by reservoir impoundment using GRACE, Landsat, and GPS data N. Tangdamrongsub et al. 10.1016/j.rse.2019.111385
- Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables T. Denager et al. 10.5194/hess-27-2827-2023
- Common irrigation drivers of freshwater salinisation in river basins worldwide J. Thorslund et al. 10.1038/s41467-021-24281-8
- Spatial and temporal downscaling schemes to reconstruct high-resolution GRACE data: A case study in the Tarim River Basin, Northwest China D. Xue et al. 10.1016/j.scitotenv.2023.167908
- Groundwater analysis using Gravity Recovery, Climate Experiment and Google Earth Engine: Bundelkhand region, India V. Singh et al. 10.1016/j.pce.2023.103401
- Unsupervised ensemble Kalman filtering with an uncertain constraint for land hydrological data assimilation M. Khaki et al. 10.1016/j.jhydrol.2018.06.080
- Evaluation of Groundwater Storage Variations Estimated from GRACE Data Assimilation and State-of-the-Art Land Surface Models in Australia and the North China Plain N. Tangdamrongsub et al. 10.3390/rs10030483
- Constructing GRACE-Based 1 km Resolution Groundwater Storage Anomalies in Arid Regions Using an Improved Machine Learning Downscaling Method: A Case Study in Alxa League, China J. Wang et al. 10.3390/rs15112913
- Data Assimilation of Terrestrial Water Storage Observations to Estimate Precipitation Fluxes: A Synthetic Experiment M. Girotto et al. 10.3390/rs13061223
- Improving hydrological simulations by incorporating GRACE data for model calibration P. Bai et al. 10.1016/j.jhydrol.2017.12.025
- Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates N. Tangdamrongsub et al. 10.1016/j.advwatres.2019.103477
- Comparison of Data Fusion Methods in Fusing Satellite Products and Model Simulations for Estimating Soil Moisture on Semi-Arid Grasslands Y. Zhu et al. 10.3390/rs15153789
- Ecohydrologic model with satellite-based data for predicting streamflow in ungauged basins J. Choi et al. 10.1016/j.scitotenv.2023.166617
- Characterizing the drought events in Yangtze River basin via the insight view of its sub-basins water storage variations W. Ma et al. 10.1016/j.jhydrol.2024.130995
- Characterizing Drought and Flood Events over the Yangtze River Basin Using the HUST-Grace2016 Solution and Ancillary Data H. Zhou et al. 10.3390/rs9111100
- Deep dive into predictive excellence: Transformer's impact on groundwater level prediction W. Sun et al. 10.1016/j.jhydrol.2024.131250
- Assimilating multivariate remote sensing data into a fully coupled subsurface-land surface hydrological model S. Sadat Soltani et al. 10.1016/j.jhydrol.2024.131812
- Development and evaluation of 0.05° terrestrial water storage estimates using Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and assimilation of GRACE data N. Tangdamrongsub et al. 10.5194/hess-25-4185-2021
- SHADE: A MATLAB toolbox and graphical user interface for the empirical de-correlation of GRACE monthly solutions D. Piretzidis & M. Sideris 10.1016/j.cageo.2018.06.012
- Improving understanding of spatiotemporal water storage changes over China based on multiple datasets W. Yin et al. 10.1016/j.jhydrol.2022.128098
- Inland Waters Increasingly Produce and Emit Nitrous Oxide J. Wang et al. 10.1021/acs.est.3c04230
- Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. 10.1029/2019WR026085
- Assimilation of GRACE Follow‐On Inter‐Satellite Laser Ranging Measurements Into Land Surface Models M. Khaki et al. 10.1029/2022WR032432
- Improving the resolution of GRACE-based water storage estimates based on machine learning downscaling schemes W. Yin et al. 10.1016/j.jhydrol.2022.128447
- Geodetic first order data assimilation using an extended Kalman filtering technique I. Kalu et al. 10.1007/s12145-022-00869-6
- Temporal and Spatial Variation Analysis of Groundwater Stocks in Xinjiang Based on GRACE Data L. Duan et al. 10.3390/rs16050813
- A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux M. Tourian et al. 10.1016/j.rse.2023.113685
- 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
- Land subsidence and groundwater storage investigation with multi sensor and extended Kalman filter O. Memarian Sorkhabi et al. 10.1016/j.gsd.2022.100859
- On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia N. Tangdamrongsub et al. 10.5194/hess-22-1811-2018
- Improved Understanding of Groundwater Storage Changes under the Influence of River Basin Governance in Northwestern China Using GRACE Data X. Liu et al. 10.3390/rs13142672
- How to quantify the accuracy of mass anomaly time-series based on GRACE data in the absence of knowledge about true signal? P. Ditmar 10.1007/s00190-022-01640-x
- A two-update ensemble Kalman filter for land hydrological data assimilation with an uncertain constraint M. Khaki et al. 10.1016/j.jhydrol.2017.10.032
- Identifying Flood Events over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations, Hydrological Models and In Situ Data H. Zhou et al. 10.3390/rs10050713
- Review of assimilating GRACE terrestrial water storage data into hydrological models: Advances, challenges and opportunities S. Soltani et al. 10.1016/j.earscirev.2020.103487
- Combining Hydrological Models and Remote Sensing to Characterize Snowpack Dynamics in High Mountains J. Ougahi & J. Rowan 10.3390/rs16020264
- The need for a multi-pollutant approach to model the movement of pollutants in surface-water: A review of status and future challenges S. Wali 10.55529/ijaap.11.26.58
- Tradeoffs Between Temporal and Spatial Pattern Calibration and Their Impacts on Robustness and Transferability of Hydrologic Model Parameters to Ungauged Basins M. Demirel et al. 10.1029/2022WR034193
- Aquifer Depletion in the Arlit Mining Area (Tim Mersoï Basin, North Niger) F. Dobi et al. 10.3390/w13121685
- Global drought risk in cities: present and future urban hotspots T. Stolte et al. 10.1088/2515-7620/ad0210
Latest update: 20 Nov 2024
Short summary
This paper investigates the assimilation of terrestrial water storage variation estimates derived from GRACE data using an EnKF 3D approach. The spatially correlated errors in GRACE data derived from its full error variance–covariance matrices were taken into account. The experiments showed that GRACE DA improved the accuracy of groundwater storage estimates by as much as 25 % over the Hexi Corridor. The inclusion of error correlations provided an equal or greater improvement in the estimates.
This paper investigates the assimilation of terrestrial water storage variation estimates...
