Articles | Volume 19, issue 12
https://doi.org/10.5194/hess-19-4831-2015
© 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-19-4831-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Dec 2015
Research article |
| 18 Dec 2015
The impact of near-surface soil moisture assimilation at subseasonal, seasonal, and inter-annual timescales
Universities Space Research Association, Columbia, MD, USA
Global Modeling and Assimilation Office, NASA GSFC, Greenbelt, MD, USA
R. Reichle
Global Modeling and Assimilation Office, NASA GSFC, Greenbelt, MD, USA
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Cited
26 citations as recorded by crossref.
- Assimilation of Satellite-Derived Soil Moisture and Brightness Temperature in Land Surface Models: A Review R. Khandan et al. https://doi.org/10.3390/rs14030770
- Generalized spatio-temporal-spectral integrated fusion for soil moisture downscaling M. Jiang et al. https://doi.org/10.1016/j.isprsjprs.2024.10.012
- Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities H. West et al. https://doi.org/10.1016/j.rse.2019.111291
- A signature‐based approach to quantify soil moisture dynamics under contrasting land‐uses R. Araki et al. https://doi.org/10.1002/hyp.14553
- Spatially enhanced passive microwave derived soil moisture: Capabilities and opportunities S. Sabaghy et al. https://doi.org/10.1016/j.rse.2018.02.065
- Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology A. Gruber et al. https://doi.org/10.5194/essd-11-717-2019
- Data Assimilation to Extract Soil Moisture Information from SMAP Observations J. Kolassa et al. https://doi.org/10.3390/rs9111179
- Seasonal streamflow forecasts for Europe – Part 2: Sources of skill W. Greuell et al. https://doi.org/10.5194/hess-23-371-2019
- What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. https://doi.org/10.1029/2019WR026987
- Estimating Snow Mass in North America Through Assimilation of Advanced Microwave Scanning Radiometer Brightness Temperature Observations Using the Catchment Land Surface Model and Support Vector Machines Y. Xue et al. https://doi.org/10.1029/2017WR022219
- Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions J. Musuuza et al. https://doi.org/10.3390/rs12050811
- Assimilation of Satellite Soil Moisture for Improved Atmospheric Reanalyses C. Draper & R. Reichle https://doi.org/10.1175/MWR-D-18-0393.1
- Evaluation of root zone soil moisture products over the Huai River basin E. Liu et al. https://doi.org/10.5194/hess-28-2375-2024
- Deriving surface soil moisture from reflected GNSS signal observations from a grassland site in southwestern France S. Zhang et al. https://doi.org/10.5194/hess-22-1931-2018
- Reactive nitrogen in and around the northeastern and mid-Atlantic US: sources, sinks, and connections with ozone M. Huang et al. https://doi.org/10.5194/acp-25-1449-2025
- Dual assimilation of satellite soil moisture to improve streamflow prediction in data‐scarce catchments C. Alvarez‐Garreton et al. https://doi.org/10.1002/2015WR018429
- Toward High-Resolution Soil Moisture Monitoring by Combining Active-Passive Microwave and Optical Vegetation Remote Sensing Products with Land Surface Model K. Toride et al. https://doi.org/10.3390/s19183924
- Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al. https://doi.org/10.1016/j.rse.2020.111806
- Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation J. Kolassa et al. https://doi.org/10.1016/j.rse.2017.04.020
- An Intercomparison Study of Algorithms for Downscaling SMAP Radiometer Soil Moisture Retrievals L. Fang et al. https://doi.org/10.1175/JHM-D-19-0034.1
- Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals A. Gruber et al. https://doi.org/10.1109/TGRS.2017.2734070
- Geospatial Weather Affected Terrain Conditions and Hazards (GeoWATCH) description and evaluation J. Eylander et al. https://doi.org/10.1016/j.envsoft.2022.105606
- SMOS brightness temperature assimilation into the Community Land Model D. Rains et al. https://doi.org/10.5194/hess-21-5929-2017
- Drought and Waterlogging Stress Regimes in Northern Peatlands Detected Through Satellite Retrieved Solar‐Induced Chlorophyll Fluorescence B. Valkenborg et al. https://doi.org/10.1029/2023GL105205
- Exploration of Synthetic Terrestrial Snow Mass Estimation via Assimilation of AMSR‐E Brightness Temperature Spectral Differences Using the Catchment Land Surface Model and Support Vector Machine Regression J. Wang et al. https://doi.org/10.1029/2020WR027490
- Comparing Temporal Dynamics of Soil Moisture from Remote Sensing, Modeling, and Field Observations Across Europe L. Jach et al. https://doi.org/10.3390/rs18030445
26 citations as recorded by crossref.
- Assimilation of Satellite-Derived Soil Moisture and Brightness Temperature in Land Surface Models: A Review R. Khandan et al. https://doi.org/10.3390/rs14030770
- Generalized spatio-temporal-spectral integrated fusion for soil moisture downscaling M. Jiang et al. https://doi.org/10.1016/j.isprsjprs.2024.10.012
- Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities H. West et al. https://doi.org/10.1016/j.rse.2019.111291
- A signature‐based approach to quantify soil moisture dynamics under contrasting land‐uses R. Araki et al. https://doi.org/10.1002/hyp.14553
- Spatially enhanced passive microwave derived soil moisture: Capabilities and opportunities S. Sabaghy et al. https://doi.org/10.1016/j.rse.2018.02.065
- Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology A. Gruber et al. https://doi.org/10.5194/essd-11-717-2019
- Data Assimilation to Extract Soil Moisture Information from SMAP Observations J. Kolassa et al. https://doi.org/10.3390/rs9111179
- Seasonal streamflow forecasts for Europe – Part 2: Sources of skill W. Greuell et al. https://doi.org/10.5194/hess-23-371-2019
- What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. https://doi.org/10.1029/2019WR026987
- Estimating Snow Mass in North America Through Assimilation of Advanced Microwave Scanning Radiometer Brightness Temperature Observations Using the Catchment Land Surface Model and Support Vector Machines Y. Xue et al. https://doi.org/10.1029/2017WR022219
- Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions J. Musuuza et al. https://doi.org/10.3390/rs12050811
- Assimilation of Satellite Soil Moisture for Improved Atmospheric Reanalyses C. Draper & R. Reichle https://doi.org/10.1175/MWR-D-18-0393.1
- Evaluation of root zone soil moisture products over the Huai River basin E. Liu et al. https://doi.org/10.5194/hess-28-2375-2024
- Deriving surface soil moisture from reflected GNSS signal observations from a grassland site in southwestern France S. Zhang et al. https://doi.org/10.5194/hess-22-1931-2018
- Reactive nitrogen in and around the northeastern and mid-Atlantic US: sources, sinks, and connections with ozone M. Huang et al. https://doi.org/10.5194/acp-25-1449-2025
- Dual assimilation of satellite soil moisture to improve streamflow prediction in data‐scarce catchments C. Alvarez‐Garreton et al. https://doi.org/10.1002/2015WR018429
- Toward High-Resolution Soil Moisture Monitoring by Combining Active-Passive Microwave and Optical Vegetation Remote Sensing Products with Land Surface Model K. Toride et al. https://doi.org/10.3390/s19183924
- Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al. https://doi.org/10.1016/j.rse.2020.111806
- Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation J. Kolassa et al. https://doi.org/10.1016/j.rse.2017.04.020
- An Intercomparison Study of Algorithms for Downscaling SMAP Radiometer Soil Moisture Retrievals L. Fang et al. https://doi.org/10.1175/JHM-D-19-0034.1
- Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals A. Gruber et al. https://doi.org/10.1109/TGRS.2017.2734070
- Geospatial Weather Affected Terrain Conditions and Hazards (GeoWATCH) description and evaluation J. Eylander et al. https://doi.org/10.1016/j.envsoft.2022.105606
- SMOS brightness temperature assimilation into the Community Land Model D. Rains et al. https://doi.org/10.5194/hess-21-5929-2017
- Drought and Waterlogging Stress Regimes in Northern Peatlands Detected Through Satellite Retrieved Solar‐Induced Chlorophyll Fluorescence B. Valkenborg et al. https://doi.org/10.1029/2023GL105205
- Exploration of Synthetic Terrestrial Snow Mass Estimation via Assimilation of AMSR‐E Brightness Temperature Spectral Differences Using the Catchment Land Surface Model and Support Vector Machine Regression J. Wang et al. https://doi.org/10.1029/2020WR027490
- Comparing Temporal Dynamics of Soil Moisture from Remote Sensing, Modeling, and Field Observations Across Europe L. Jach et al. https://doi.org/10.3390/rs18030445
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
A soil moisture assimilation experiment is evaluated separately at sub-seasonal, seasonal, and inter-annual timescales. In addition to previously reported improvements in sub-seasonal scale soil moisture, it is show that such an assimilation can also improve the model soil moisture at seasonal and inter-annual timescales, demonstrating the potential for near-surface soil moisture assimilation to improve model representation of important long-term events, such as droughts.
A soil moisture assimilation experiment is evaluated separately at sub-seasonal, seasonal, and...
