Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-277-2019
© Author(s) 2019. 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-23-277-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jan 2019
Research article |
| 17 Jan 2019
| 17 Jan 2019
Improving soil moisture and runoff simulations at 3 km over Europe using land surface data assimilation
Research Centre Jülich, Institute of Bio- and Geosciences: Agrosphere (IBG-3), 52425 Jülich, Germany
Centre for High-Performance Scientific Computing in Terrestrial Systems, Geoverbund ABC/J, 52425 Jülich, Germany
Wolfgang Kurtz
Leibniz Supercomputing Centre, Environmental Computing Group, Boltzmannstr. 1, 85748 Garching, Germany
Carsten Montzka
Research Centre Jülich, Institute of Bio- and Geosciences: Agrosphere (IBG-3), 52425 Jülich, Germany
Wendy Sharples
Centre for High-Performance Scientific Computing in Terrestrial Systems, Geoverbund ABC/J, 52425 Jülich, Germany
Research Centre Jülich, Jülich Supercomputing Centre, 52425 Jülich, Germany
Klaus Goergen
Research Centre Jülich, Institute of Bio- and Geosciences: Agrosphere (IBG-3), 52425 Jülich, Germany
Centre for High-Performance Scientific Computing in Terrestrial Systems, Geoverbund ABC/J, 52425 Jülich, Germany
Jessica Keune
Laboratory of Hydrology and Water Management, Ghent University, 9000 Ghent, Belgium
Huilin Gao
Zachry Department of Civil Engineering, Texas A & M University, College Station, TX 77843, USA
Anne Springer
Institute of Geodesy and Geoinformation, Bonn University, Nussallee 17, 53115 Bonn, Germany
Harrie-Jan Hendricks Franssen
Research Centre Jülich, Institute of Bio- and Geosciences: Agrosphere (IBG-3), 52425 Jülich, Germany
Centre for High-Performance Scientific Computing in Terrestrial Systems, Geoverbund ABC/J, 52425 Jülich, Germany
Stefan Kollet
Research Centre Jülich, Institute of Bio- and Geosciences: Agrosphere (IBG-3), 52425 Jülich, Germany
Centre for High-Performance Scientific Computing in Terrestrial Systems, Geoverbund ABC/J, 52425 Jülich, Germany
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Cited
32 citations as recorded by crossref.
- Deep learning of model- and reanalysis-based precipitation and pressure mismatches over Europe K. Patakchi Yousefi & S. Kollet
- Development of Continuous AMSR-E/2 Soil Moisture Time Series by Hybrid Deep Learning Model (ConvLSTM2D and Conv2D) and Transfer Learning for Reanalyses V. Sivaprasad et al.
- Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony T. Luong et al.
- Quantifying Streamflow Depletion from Groundwater Pumping: A Practical Review of Past and Emerging Approaches for Water Management S. Zipper et al.
- Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data L. Strebel et al.
- Comparing Assimilation of Synthetic Soil Moisture Versus C‐Band Backscatter for Hyper‐Resolution Land Surface Modeling L. Sun et al.
- Assimilating multivariate remote sensing data into a fully coupled subsurface-land surface hydrological model S. Sadat Soltani et al.
- Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al.
- Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach T. Boas et al.
- High spatial resolution simulation of profile soil moisture by assimilating multi-source remote-sensed information into a distributed hydrological model H. Yang et al.
- Improving the representation of cropland sites in the Community Land Model (CLM) version 5.0 T. Boas et al.
- Downscaling soil moisture to sub-km resolutions with simple machine learning ensembles J. Poehls et al.
- Enhancing spatial specification of runoff through a performance-informed multivariate weighting framework M. Jeong & J. Kim
- Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al.
- Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe D. De Santis et al.
- Multi-model hydrological reference dataset over continental Europe and an African basin B. Droppers et al.
- Historical memory in remotely sensed soil moisture can enhance flash flood modeling for headwater catchments in Germany Y. Liu et al.
- Land use change impacts on European heat and drought: remote land-atmosphere feedbacks mitigated locally by shallow groundwater S. Zipper et al.
- A Simplified Water Accounting Procedure to Assess Climate Change Impact on Water Resources for Agriculture across Different European River Basins J. Hunink et al.
- AI in soil moisture remote sensing C. Montzka et al.
- An Improved Soil Moisture Downscaling Method Based on Soil Properties and Geographical Divisions over the Loess Plateau L. Han et al.
- Water table depth assimilation in integrated terrestrial system models at the larger catchment scale F. Li et al.
- Climate change effects on hydrometeorological compound events over southern Norway B. Poschlod et al.
- Improving Real-Time Flood Forecasting: Probabilistic Validation of Assimilated Remotely-Sensed Soil Moisture Data S. Soltani et al.
- A comprehensive assessment of in situ and remote sensing soil moisture data assimilation in the APSIM model for improving agricultural forecasting across the US Midwest M. Kivi et al.
- Net surface energy flux over the globe and Asian monsoon region in CMIP6 high-resolution models X. Liao et al.
- A 3 km spatially and temporally consistent European daily soil moisture reanalysis from 2000 to 2015 B. Naz et al.
- Coupling the Community Land Model version 5.0 to the parallel data assimilation framework PDAF: description and applications L. Strebel et al.
- Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors H. Beck et al.
- Sensitivity Analysis of C and Ku-Band Scatterometers for River Water Level Estimation A. Kushwaha et al.
- Benefit of MAGIC and multipair quantum satellite gravity missions in Earth science applications J. Kusche et al.
- Spatial heterogeneity effects on land surface modeling of water and energy partitioning L. Li et al.
32 citations as recorded by crossref.
- Deep learning of model- and reanalysis-based precipitation and pressure mismatches over Europe K. Patakchi Yousefi & S. Kollet
- Development of Continuous AMSR-E/2 Soil Moisture Time Series by Hybrid Deep Learning Model (ConvLSTM2D and Conv2D) and Transfer Learning for Reanalyses V. Sivaprasad et al.
- Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony T. Luong et al.
- Quantifying Streamflow Depletion from Groundwater Pumping: A Practical Review of Past and Emerging Approaches for Water Management S. Zipper et al.
- Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data L. Strebel et al.
- Comparing Assimilation of Synthetic Soil Moisture Versus C‐Band Backscatter for Hyper‐Resolution Land Surface Modeling L. Sun et al.
- Assimilating multivariate remote sensing data into a fully coupled subsurface-land surface hydrological model S. Sadat Soltani et al.
- Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al.
- Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach T. Boas et al.
- High spatial resolution simulation of profile soil moisture by assimilating multi-source remote-sensed information into a distributed hydrological model H. Yang et al.
- Improving the representation of cropland sites in the Community Land Model (CLM) version 5.0 T. Boas et al.
- Downscaling soil moisture to sub-km resolutions with simple machine learning ensembles J. Poehls et al.
- Enhancing spatial specification of runoff through a performance-informed multivariate weighting framework M. Jeong & J. Kim
- Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al.
- Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe D. De Santis et al.
- Multi-model hydrological reference dataset over continental Europe and an African basin B. Droppers et al.
- Historical memory in remotely sensed soil moisture can enhance flash flood modeling for headwater catchments in Germany Y. Liu et al.
- Land use change impacts on European heat and drought: remote land-atmosphere feedbacks mitigated locally by shallow groundwater S. Zipper et al.
- A Simplified Water Accounting Procedure to Assess Climate Change Impact on Water Resources for Agriculture across Different European River Basins J. Hunink et al.
- AI in soil moisture remote sensing C. Montzka et al.
- An Improved Soil Moisture Downscaling Method Based on Soil Properties and Geographical Divisions over the Loess Plateau L. Han et al.
- Water table depth assimilation in integrated terrestrial system models at the larger catchment scale F. Li et al.
- Climate change effects on hydrometeorological compound events over southern Norway B. Poschlod et al.
- Improving Real-Time Flood Forecasting: Probabilistic Validation of Assimilated Remotely-Sensed Soil Moisture Data S. Soltani et al.
- A comprehensive assessment of in situ and remote sensing soil moisture data assimilation in the APSIM model for improving agricultural forecasting across the US Midwest M. Kivi et al.
- Net surface energy flux over the globe and Asian monsoon region in CMIP6 high-resolution models X. Liao et al.
- A 3 km spatially and temporally consistent European daily soil moisture reanalysis from 2000 to 2015 B. Naz et al.
- Coupling the Community Land Model version 5.0 to the parallel data assimilation framework PDAF: description and applications L. Strebel et al.
- Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors H. Beck et al.
- Sensitivity Analysis of C and Ku-Band Scatterometers for River Water Level Estimation A. Kushwaha et al.
- Benefit of MAGIC and multipair quantum satellite gravity missions in Earth science applications J. Kusche et al.
- Spatial heterogeneity effects on land surface modeling of water and energy partitioning L. Li et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
This study investigates the value of assimilating coarse-resolution remotely sensed soil moisture data into high-resolution land surface models for improving soil moisture and runoff modeling. The soil moisture estimates in this study, with complete spatio-temporal coverage and improved spatial resolution from the assimilation, offer a new reanalysis product for the monitoring of surface soil water content and other hydrological fluxes at 3 km resolution over Europe.
This study investigates the value of assimilating coarse-resolution remotely sensed soil...
