Articles | Volume 19, issue 4
https://doi.org/10.5194/hess-19-2079-2015
© Author(s) 2015. 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-19-2079-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin
N. Tangdamrongsub
CORRESPONDING AUTHOR
Department of Geoscience and Remote Sensing, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
S. C. Steele-Dunne
Department of Water Resources, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
B. 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
P. G. Ditmar
Department of Geoscience and Remote Sensing, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
A. H. Weerts
Operational Water Management, Deltares, Delft, the Netherlands
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, the Netherlands
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59 citations as recorded by crossref.
- Improving the realism of hydrologic model functioning through multivariate parameter estimation O. Rakovec et al. 10.1002/2016WR019430
- Glacier melt buffers river runoff in the Pamir Mountains E. Pohl et al. 10.1002/2016WR019431
- How realistic are multi-decadal reconstructions of GRACE-like total water storage anomalies? C. Hacker & J. Kusche 10.1016/j.jhydrol.2024.132180
- The 2019–2020 Rise in Lake Victoria Monitored from Space: Exploiting the State-of-the-Art GRACE-FO and the Newly Released ERA-5 Reanalysis Products M. Khaki & J. Awange 10.3390/s21134304
- Data assimilation of satellite-based terrestrial water storage changes into a hydrology land-surface model A. Bahrami et al. 10.1016/j.jhydrol.2020.125744
- 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
- The GWR model-based regional downscaling of GRACE/GRACE-FO derived groundwater storage to investigate local-scale variations in the North China Plain S. Ali et al. 10.1016/j.scitotenv.2023.168239
- Multi-sensor assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for soil moisture and shallow groundwater estimation M. Girotto et al. 10.1016/j.rse.2019.04.001
- Assimilation of blended in situ-satellite snow water equivalent into the National Water Model for improving hydrologic simulation in two US river basins Y. Gan et al. 10.1016/j.scitotenv.2022.156567
- Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals S. Tian et al. 10.1002/2016WR019641
- Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response S. Tian et al. 10.5194/hess-23-1067-2019
- 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
- Spatial and Temporal Variations of Terrestrial Water Storage in Upper Indus Basin Using GRACE and Altimetry Data D. Hussain et al. 10.1109/ACCESS.2020.2984794
- Assessing sequential data assimilation techniques for integrating GRACE data into a hydrological model M. Khaki et al. 10.1016/j.advwatres.2017.07.001
- Nonparametric Data Assimilation Scheme for Land Hydrological Applications M. Khaki et al. 10.1029/2018WR022854
- Radar Altimetry as a Proxy for Determining Terrestrial Water Storage Variability in Tropical Basins D. Melo & A. Getirana 10.3390/rs11212487
- 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
- Comparison of the shallow groundwater storage change estimated by a distributed hydrological model and GRACE satellite gravimetry in a well-irrigated plain of the Haihe River basin, China X. Zhang et al. 10.1016/j.jhydrol.2022.127799
- Using Satellite-Based Terrestrial Water Storage Data: A Review V. Humphrey et al. 10.1007/s10712-022-09754-9
- Inter‐Basin Water Transfer Effectively Compensates for Regional Unsustainable Water Use J. Dong et al. 10.1029/2023WR035129
- Water cycle science enabled by the GRACE and GRACE-FO satellite missions M. Rodell & J. Reager 10.1038/s44221-022-00005-0
- Influences of recent climate change and human activities on water storage variations in Central Asia H. Deng & Y. Chen 10.1016/j.jhydrol.2016.11.006
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- Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations P. López López et al. 10.5194/hess-20-3059-2016
- 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
- Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate Inputs F. Li et al. 10.1029/2019WR026551
- Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model N. Tangdamrongsub et al. 10.5194/hess-21-2053-2017
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- From coarse resolution to practical solution: GRACE as a science communication and policymaking tool for sustainable groundwater management L. Xu et al. 10.1016/j.jhydrol.2023.129845
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- Accounting for spatial correlation errors in the assimilation of GRACE into hydrological models through localization M. Khaki et al. 10.1016/j.advwatres.2017.07.024
- The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang 10.3390/w11081615
- A systematic impact assessment of GRACE error correlation on data assimilation in hydrological models M. Schumacher et al. 10.1007/s00190-016-0892-y
- 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
- Reconstructing Terrestrial Water Storage Variations from 1980 to 2015 in the Beishan Area of China W. Yin et al. 10.1155/2019/3874742
- Efficient treatment of climate data uncertainty in ensemble Kalman filter (EnKF) based on an existing historical climate ensemble dataset H. Liu et al. 10.1016/j.jhydrol.2018.11.047
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- Use of auxiliary data of topography, snow and ice to improve model performance in a glacier-dominated catchment in Central Asia H. Gao et al. 10.2166/nh.2016.242
- 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
- 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
- Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation C. Albergel et al. 10.3390/rs11050520
- Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review Y. Li et al. 10.3390/rs8060456
- The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism M. Clark et al. 10.5194/hess-21-3427-2017
- Assimilation of gridded terrestrial water storage observations from GRACE into a land surface model M. Girotto et al. 10.1002/2015WR018417
- The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model H. Gerdener et al. 10.1007/s00190-023-01763-9
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