Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-325-2020
© Author(s) 2020. 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-24-325-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An ensemble square root filter for the joint assimilation of surface soil moisture and leaf area index within the Land Data Assimilation System LDAS-Monde: application over the Euro-Mediterranean region
Bertrand Bonan
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Clément Albergel
CORRESPONDING AUTHOR
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Yongjun Zheng
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Alina Lavinia Barbu
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
David Fairbairn
European Centre for Medium-Range Weather Forecasts, Reading, UK
Simon Munier
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Jean-Christophe Calvet
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
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- Toward Discharge Estimation for Water Resources Management with a Semidistributed Model and Local Ensemble Kalman Filter Data Assimilation S. Wongchuig et al. 10.1061/(ASCE)HE.1943-5584.0002027
- Multiscale Assimilation of Sentinel and Landsat Data for Soil Moisture and Leaf Area Index Predictions Using an Ensemble-Kalman-Filter-Based Assimilation Approach in a Heterogeneous Ecosystem N. Montaldo et al. 10.3390/rs14143458
- Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. 10.1016/j.earscirev.2020.103348
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26 citations as recorded by crossref.
- 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
- Field scale computer modeling of soil moisture with dynamic nudging assimilation algorithm O. Kozhushko et al. 10.23939/mmc2022.02.203
- Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System B. Raczka et al. 10.1029/2020MS002421
- Assimilation of Remotely Sensed Leaf Area Index for Improving Land Surface Simulation Performance at a Global Scale X. Ling et al. 10.1109/JSTARS.2024.3388006
- Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA O. Rojas-Munoz et al. 10.3390/rs15174329
- 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
- Towards unified land data assimilation at ECMWF: Soil and snow temperature analysis in the SEKF C. Herbert et al. 10.1002/qj.4808
- Assimilation of NDVI data in a land surface – Vegetation model for leaf area index predictions in a tree-grass ecosystem N. Montaldo et al. 10.1080/17538947.2023.2259226
- An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
- The Joint Assimilation of Remotely Sensed Leaf Area Index and Surface Soil Moisture into a Land Surface Model A. Rahman et al. 10.3390/rs14030437
- Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil moisture S. Li et al. 10.5194/hess-26-6311-2022
- Assimilation of ASCAT Radar Backscatter Coefficients over Southwestern France T. Corchia et al. 10.3390/rs15174258
- Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
- Multivariate assimilation of satellite-based leaf area index and ground-based river streamflow for hydrological modelling of irrigated watersheds using SWAT+ O. Mohammadi Igder et al. 10.1016/j.jhydrol.2022.128012
- Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX S. Khodayar et al. 10.5194/acp-21-17051-2021
- Improving Dynamic Vegetation Modeling in Noah‐MP by Parameter Optimization and Data Assimilation Over China's Loess Plateau Z. Shu et al. 10.1029/2022JD036703
- Implementation of a new crop phenology and irrigation scheme in the ISBA land surface model using SURFEX_v8.1 A. Druel et al. 10.5194/gmd-15-8453-2022
- Evapotranspiration over Land from a Boundary-Layer Meteorology Perspective J. Cuxart & A. Boone 10.1007/s10546-020-00550-9
- From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States A. Mucia et al. 10.3390/rs12122020
- 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
- Nonstationarity in the global terrestrial water cycle and its interlinkages in the Anthropocene W. Nie et al. 10.1073/pnas.2403707121
- Evaluation of root zone soil moisture products over the Huai River basin E. Liu et al. 10.5194/hess-28-2375-2024
- Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces C. Albergel et al. 10.5194/hess-24-4291-2020
- Toward Discharge Estimation for Water Resources Management with a Semidistributed Model and Local Ensemble Kalman Filter Data Assimilation S. Wongchuig et al. 10.1061/(ASCE)HE.1943-5584.0002027
- Multiscale Assimilation of Sentinel and Landsat Data for Soil Moisture and Leaf Area Index Predictions Using an Ensemble-Kalman-Filter-Based Assimilation Approach in a Heterogeneous Ecosystem N. Montaldo et al. 10.3390/rs14143458
- Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. 10.1016/j.earscirev.2020.103348
2 citations as recorded by crossref.
- 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
- Global Assimilation of Remotely Sensed Leaf Area Index: The Impact of Updating More State Variables Within a Land Surface Model A. Rahman et al. 10.3389/frwa.2021.789352
Latest update: 19 Nov 2024
Short summary
This paper introduces an ensemble square root filter (EnSRF), a deterministic ensemble Kalman filter, for jointly assimilating observations of the surface soil moisture and leaf area index in the Land Data Assimilation System LDAS-Monde. LDAS-Monde constrains the Interaction between Soil, Biosphere and Atmosphere (ISBA) land surface model to improve the reanalysis of land surface variables. EnSRF is compared with the simplified extended Kalman filter over the European Mediterranean region.
This paper introduces an ensemble square root filter (EnSRF), a deterministic ensemble Kalman...