Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-4895-2016
© Author(s) 2016. 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-20-4895-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assimilation of SMOS brightness temperatures or soil moisture retrievals into a land surface model
Gabriëlle J. M. De Lannoy
KU Leuven, Department of Earth and Environmental Sciences, Heverlee, Belgium
Rolf H. Reichle
NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, Maryland, USA
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- Comparison of different assimilation methodologies of groundwater levels to improve predictions of root zone soil moisture with an integrated terrestrial system model H. Zhang et al. 10.1016/j.advwatres.2017.11.003
- Retrieving Soil Physical Properties by Assimilating SMAP Brightness Temperature Observations into the Community Land Model H. Zhao et al. 10.3390/s23052620
- Comparing Seven Variants of the Ensemble Kalman Filter: How Many Synthetic Experiments Are Needed? J. Keller et al. 10.1029/2018WR023374
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- Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter E. Seo et al. 10.1016/j.rse.2020.112222
- Assimilation of SMAP Brightness Temperature Observations in the GEOS Land–Atmosphere Data Assimilation System R. Reichle et al. 10.1109/JSTARS.2021.3118595
- Merging active and passive microwave observations in soil moisture data assimilation J. Kolassa et al. 10.1016/j.rse.2017.01.015
- SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives J. Wigneron et al. 10.1016/j.rse.2020.112238
- Assimilation of Passive L-band Microwave Brightness Temperatures in the Canadian Land Data Assimilation System: Impacts on Short-Range Warm Season Numerical Weather Prediction M. Carrera et al. 10.1175/JHM-D-18-0133.1
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- Assessing the Feasibility of Satellite‐Based Thresholds for Hydrologically Driven Landsliding M. Thomas et al. 10.1029/2019WR025577
- Mapping Surface Heat Fluxes by Assimilating SMAP Soil Moisture and GOES Land Surface Temperature Data Y. Lu et al. 10.1002/2017WR021415
- The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0 E. Pinnington et al. 10.5194/gmd-13-55-2020
- Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre‐ and Post‐Processing in Sequential Data Assimilation S. Wang et al. 10.1002/2018WR022546
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- Improved groundwater table and L-band brightness temperature estimates for Northern Hemisphere peatlands using new model physics and SMOS observations in a global data assimilation framework M. Bechtold et al. 10.1016/j.rse.2020.111805
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- Monitoring Soil Moisture Drought over Northern High Latitudes from Space J. Blyverket et al. 10.3390/rs11101200
- The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning K. Fang et al. 10.1109/TGRS.2018.2872131
- Four decades of microwave satellite soil moisture observations: Part 2. Product validation and inter-satellite comparisons L. Karthikeyan et al. 10.1016/j.advwatres.2017.09.010
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- Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model M. Sassi et al. 10.16993/tellusa.48
- Reappraisal of the roughness effect parameterization schemes for L-band radiometry over bare soil B. Peng et al. 10.1016/j.rse.2017.07.006
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- Leveraging Soil Moisture Assimilation in Permafrost Affected Regions A. Pradhan et al. 10.3390/rs15061532
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- Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al. 10.1016/j.rse.2020.111806
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- Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model Z. Zhang et al. 10.3390/rs14102405
- Improving Soil Moisture and Surface Turbulent Heat Flux Estimates by Assimilation of SMAP Brightness Temperatures or Soil Moisture Retrievals and GOES Land Surface Temperature Retrievals Y. Lu et al. 10.1175/JHM-D-19-0130.1
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- A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. 10.3389/fsci.2023.1190191
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- Merging active and passive microwave observations in soil moisture data assimilation J. Kolassa et al. 10.1016/j.rse.2017.01.015
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- Monitoring Soil Moisture Drought over Northern High Latitudes from Space J. Blyverket et al. 10.3390/rs11101200
- The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning K. Fang et al. 10.1109/TGRS.2018.2872131
- Four decades of microwave satellite soil moisture observations: Part 2. Product validation and inter-satellite comparisons L. Karthikeyan et al. 10.1016/j.advwatres.2017.09.010
- A Novel Fusion Method for Generating Surface Soil Moisture Data With High Accuracy, High Spatial Resolution, and High Spatio‐Temporal Continuity S. Huang et al. 10.1029/2021WR030827
- Prediction of Active Microwave Backscatter Over Snow-Covered Terrain Across Western Colorado Using a Land Surface Model and Support Vector Machine Regression J. Park et al. 10.1109/JSTARS.2021.3053945
- Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model M. Sassi et al. 10.16993/tellusa.48
- Reappraisal of the roughness effect parameterization schemes for L-band radiometry over bare soil B. Peng et al. 10.1016/j.rse.2017.07.006
- Retrieving accurate soil moisture over the Tibetan Plateau using multi-source remote sensing data assimilation with simultaneous state and parameter estimations W. Chen et al. 10.1175/JHM-D-20-0298.1
- Improvement of the soil-atmosphere interactions and subsequent heavy precipitation modelling by enhanced initialization using remotely sensed 1 km soil moisture information S. Helgert & S. Khodayar 10.1016/j.rse.2020.111812
- Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication G. De Lannoy et al. 10.3389/frwa.2022.981745
- Estimation of Snow Mass Information via Assimilation of C-Band Synthetic Aperture Radar Backscatter Observations Into an Advanced Land Surface Model J. Park et al. 10.1109/JSTARS.2021.3133513
- Field scale computer modeling of soil moisture with dynamic nudging assimilation algorithm O. Kozhushko et al. 10.23939/mmc2022.02.203
- The impact of multi-sensor land data assimilation on river discharge estimation W. Wu et al. 10.1016/j.rse.2022.113138
- Benefits and pitfalls of irrigation timing and water amounts derived from satellite soil moisture L. Zappa et al. 10.1016/j.agwat.2024.108773
- Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions: the Murray–Darling basin in Australia as a test case R. Hostache et al. 10.5194/hess-24-4793-2020
- Leveraging Soil Moisture Assimilation in Permafrost Affected Regions A. Pradhan et al. 10.3390/rs15061532
- Evaluation of GEOS-Simulated L-Band Microwave Brightness Temperature Using Aquarius Observations over Non-Frozen Land across North America J. Park et al. 10.3390/rs12183098
- Fusion of In-Situ Soil Moisture and Land Surface Model Estimates Using Localized Ensemble Optimum Interpolation over China L. Jiang et al. 10.1007/s13351-020-0033-7
- Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al. 10.1016/j.rse.2020.111806
- Improving Soil Moisture Estimation via Assimilation of Remote Sensing Product into the DSSAT Crop Model and Its Effect on Agricultural Drought Monitoring H. Zhou et al. 10.3390/rs14133187
- A Dielectric Mixing Model Accounting for Soil Organic Matter C. Park et al. 10.2136/vzj2019.04.0036
- Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model Z. Zhang et al. 10.3390/rs14102405
- Improving Soil Moisture and Surface Turbulent Heat Flux Estimates by Assimilation of SMAP Brightness Temperatures or Soil Moisture Retrievals and GOES Land Surface Temperature Retrievals Y. Lu et al. 10.1175/JHM-D-19-0130.1
- SHui, an EU-Chinese cooperative project to optimize soil and water management in agricultural areas in the XXI century J. Gómez et al. 10.1016/j.iswcr.2020.01.001
- A Comparison of Passive Microwave Emission Models for Estimating Brightness Temperature at L- and P-Bands Under Bare and Vegetated Soil Conditions F. Brakhasi et al. 10.1109/JSTARS.2023.3344764
- Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction R. Baatz et al. 10.5194/hess-21-2509-2017
- Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model E. Pinnington et al. 10.5194/hess-22-2575-2018
- Spatially enhanced passive microwave derived soil moisture: Capabilities and opportunities S. Sabaghy et al. 10.1016/j.rse.2018.02.065
- Assimilation of SMOS brightness temperatures in the ECMWF Integrated Forecasting System J. Muñoz‐Sabater et al. 10.1002/qj.3577
- Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator: Case studies at ISMN stations in western Europe X. Shan et al. 10.1016/j.rse.2024.114167
- Assimilating SMOS Brightness Temperature for Hydrologic Model Parameters and Soil Moisture Estimation with an Immune Evolutionary Strategy F. Ju et al. 10.3390/rs12101556
- 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
- Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. 10.5194/hess-25-1617-2021
- Multi-sensor land data assimilation: Toward a robust global soil moisture and snow estimation L. Zhao & Z. Yang 10.1016/j.rse.2018.06.033
- On the impact of C-band in place of L-band radar for SMAP downscaling E. Ghafari et al. 10.1016/j.rse.2020.112111
- A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation A. Gruber et al. 10.1016/j.rse.2019.04.003
- Inhomogeneous Anisotropic Analysis of the Available Water Content of the Upper Soil Layer According to Ground-Based and Remote Sensing on the Territory of Russia P. Bykov et al. 10.1109/TGRS.2022.3202609
- Triple collocation-based multi-source evaporation and transpiration merging J. Park et al. 10.1016/j.agrformet.2023.109353
- Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ Measurements R. Reichle et al. 10.1175/JHM-D-17-0063.1
- Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics R. Reichle et al. 10.1175/JHM-D-17-0130.1
- New Approach for Calculating the Effective Dielectric Constant of the Moist Soil for Microwaves C. Park et al. 10.3390/rs9070732
- Toward a Surface Soil Moisture Product at High Spatiotemporal Resolution: Temporally Interpolated, Spatially Disaggregated SMOS Data Y. Malbéteau et al. 10.1175/JHM-D-16-0280.1
- Data Assimilation to Extract Soil Moisture Information from SMAP Observations J. Kolassa et al. 10.3390/rs9111179
- Confronting Soil Moisture Dynamics from the ORCHIDEE Land Surface Model With the ESA-CCI Product: Perspectives for Data Assimilation N. Raoult et al. 10.3390/rs10111786
- Assimilation of Satellite Soil Moisture for Improved Atmospheric Reanalyses C. Draper & R. Reichle 10.1175/MWR-D-18-0393.1
- Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model Z. Heyvaert et al. 10.1016/j.srs.2024.100129
- SMOS brightness temperature forward modelling and long term monitoring at ECMWF P. de Rosnay et al. 10.1016/j.rse.2019.111424
- Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco W. Nie et al. 10.5194/hess-26-2365-2022
- Synergistic Calibration of a Hydrological Model Using Discharge and Remotely Sensed Soil Moisture in the Paraná River Basin A. Fleischmann et al. 10.3390/rs13163256
- Uncertainty in soil moisture retrievals: An ensemble approach using SMOS L-band microwave data J. Quets et al. 10.1016/j.rse.2019.05.008
- An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US J. Blyverket et al. 10.3390/rs11050478
- Validation of Remotely Sensed and Modeled Soil Moisture at Forested and Unforested NEON Sites E. Ayres et al. 10.1109/JSTARS.2024.3430928
- Comparing the Assimilation of SMOS Brightness Temperatures and Soil Moisture Products on Hydrological Simulation in the Canadian Land Surface Scheme M. Nambiar et al. 10.3390/rs12203405
- L-Band Microwave Satellite Data and Model Simulations Over the Dry Chaco to Estimate Soil Moisture, Soil Temperature, Vegetation, and Soil Salinity F. Vincent et al. 10.1109/JSTARS.2022.3193636
- The value of soil temperature data versus soil moisture data for state, parameter, and flux estimation in unsaturated flow model R. Kandala et al. 10.1002/vzj2.20298
- Optical and Thermal Remote Sensing for Monitoring Agricultural Drought Q. Qin et al. 10.3390/rs13245092
- Assessment of MERRA-2 Land Surface Energy Flux Estimates C. Draper et al. 10.1175/JCLI-D-17-0121.1
- Quality Control and Evaluation of the Observed Daily Data in the North American Soil Moisture Database W. Liao et al. 10.1007/s13351-019-8121-2
- 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
Latest update: 06 Dec 2024
Short summary
The SMOS mission provides various various products to estimate soil moisture. This paper evaluates the performance of assimilating either Level-1-based multi-angle brightness temperature (Tb) observations, Level-1-based single-angle Tb observations, or Level 2 soil moisture retrievals, into the NASA Catchment land surface model.
The SMOS mission provides various various products to estimate soil moisture. This paper...