Articles | Volume 18, issue 2
https://doi.org/10.5194/hess-18-673-2014
© Author(s) 2014. 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-18-673-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assimilation of surface soil moisture into a multilayer soil model: design and evaluation at local scale
M. Parrens
CNRM-GAME – UMR3589, Météo-France, CNRS, Toulouse, France
J.-F. Mahfouf
CNRM-GAME – UMR3589, Météo-France, CNRS, Toulouse, France
A. L. Barbu
CNRM-GAME – UMR3589, Météo-France, CNRS, Toulouse, France
J.-C. Calvet
CNRM-GAME – UMR3589, Météo-France, CNRS, Toulouse, France
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- Impact of quality control of satellite soil moisture data on their assimilation into land surface model J. Yin et al. 10.1002/2014GL060659
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- Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment L. Renzullo et al. 10.1016/j.jhydrol.2014.08.008
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28 citations as recorded by crossref.
- Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts C. Szczypta et al. 10.5194/gmd-7-931-2014
- The joint assimilation of satellite observed LAI and soil moisture for the global root zone soil moisture production and its impact on land surface and ecosystem variables Y. Xu et al. 10.1016/j.agrformet.2024.110299
- Assimilation of SMOS soil moisture into a distributed hydrological model and impacts on the water cycle variables over the Ouémé catchment in Benin D. Leroux et al. 10.5194/hess-20-2827-2016
- Enhancing Model Skill by Assimilating SMOPS Blended Soil Moisture Product into Noah Land Surface Model J. Yin et al. 10.1175/JHM-D-14-0070.1
- Estimation of the L-Band Effective Scattering Albedo of Tropical Forests Using SMOS Observations M. Parrens et al. 10.1109/LGRS.2017.2703637
- Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA A. Mucia et al. 10.5194/bg-19-2557-2022
- Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe S. Scherrer et al. 10.5194/hess-27-4087-2023
- Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. 10.3390/rs10122038
- Simultaneous assimilation of in situ soil moisture and streamflow in the SWAT model using the Extended Kalman Filter L. Sun et al. 10.1016/j.jhydrol.2016.10.040
- Global ecosystem-scale plant hydraulic traits retrieved using model–data fusion Y. Liu et al. 10.5194/hess-25-2399-2021
- Assimilation of Leaf Area Index and Soil Water Index from Satellite Observations in a Land Surface Model in Hungary H. Tóth & B. Szintai 10.3390/atmos12080944
- Review of the Kalman-type hydrological data assimilation L. Sun et al. 10.1080/02626667.2015.1127376
- Assimilation of SMOS‐derived soil moisture in a fully integrated hydrological and soil‐vegetation‐atmosphere transfer model in Western Denmark M. Ridler et al. 10.1002/2014WR015392
- SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact N. Rodríguez-Fernández et al. 10.3390/rs11111334
- Warm Season Evaluation of Soil Moisture Prediction in the Soil, Vegetation, and Snow (SVS) Scheme N. Alavi et al. 10.1175/JHM-D-15-0189.1
- Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions D. Fairbairn et al. 10.5194/hess-19-4811-2015
- Soil moisture background error covariance and data assimilation in a coupled land‐atmosphere model L. Lin et al. 10.1002/2015WR017548
- New Approach for Calculating the Effective Dielectric Constant of the Moist Soil for Microwaves C. Park et al. 10.3390/rs9070732
- Characteristics of Background Error Covariance of Soil Moisture and Atmospheric States in Strongly Coupled Land–Atmosphere Data Assimilation L. Lin & Z. Pu 10.1175/JAMC-D-18-0050.1
- Global-scale surface roughness effects at L-band as estimated from SMOS observations M. Parrens et al. 10.1016/j.rse.2016.04.006
- Assimilation of Screen-level Observations for Soil Moisture Analysis in the INM RAS-MSU Multilayer Soil Model Included in the SL-AV Global Atmospheric Modeling System S. Travova & M. Tolstykh 10.3103/S1068373922080015
- Impact of quality control of satellite soil moisture data on their assimilation into land surface model J. Yin et al. 10.1002/2014GL060659
- Modeling soil evaporation efficiency in a range of soil and atmospheric conditions using a meta‐analysis approach O. Merlin et al. 10.1002/2015WR018233
- Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment L. Renzullo et al. 10.1016/j.jhydrol.2014.08.008
- Considering combined or separated roughness and vegetation effects in soil moisture retrievals M. Parrens et al. 10.1016/j.jag.2016.11.001
- Reducing multiplicative bias of satellite soil moisture retrievals K. Kornelsen & P. Coulibaly 10.1016/j.rse.2015.04.031
- 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
- Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area C. Albergel et al. 10.5194/gmd-10-3889-2017
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