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A review of the recent improvements in the L-MEB Model (SMOS Mission) - Impact on the accuracy of the soil moisture retrievals

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean-Pierre
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorKERR, Yann H.
hal.structure.identifierUniversità degli Studi di Roma Tor Vergata [Roma, Italia] = University of Rome Tor Vergata [Rome, Italy] = Université de Rome Tor Vergata [Rome, Italie]
dc.contributor.authorFERRAZZOLI, Paolo
hal.structure.identifierGamma Remote Sensing
dc.contributor.authorSCHWANK, Mike
hal.structure.identifierUniversitat de València = University of Valencia [UV]
dc.contributor.authorLOPEZ-BAEZA, Ernesto
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorPARRENS, Marie
hal.structure.identifierUniversitat de València = University of Valencia [UV]
dc.contributor.authorFERNANDEZ-MORAN, Roberto
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorAL-YAARI, Amen
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorRICHAUME, Philippe
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorBIRCHER, Simone
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorMIALON, Arnaud
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorAHMAD, Al Bitar
hal.structure.identifierEuropean Space Research and Technology Centre [ESTEC]
dc.contributor.authorDELWART, Steven
hal.structure.identifierESA Centre for Earth Observation [ESRIN]
dc.contributor.authorMECKLENBURG, Susanne
dc.date.accessioned2024-04-08T11:58:17Z
dc.date.available2024-04-08T11:58:17Z
dc.date.issued2015
dc.date.conference2015-05-25
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195918
dc.description.abstractEnThe L-MEB (L-band Microwave Emission of the Biosphere) is the forward model used in the operational SMOS algorithm to retrieve surface soil moisture (SM). This model is based on a well-known zero-order solution of the radiative transfer equations: the so called τ-ω model, L-MEB includes several parameterisations which were developed specifically to account for the multi-angular and bi-polarization capabilities of the SMOS brightness temperature (TB) observations in the retrieval process. A detailed description of the L-MEB model has been given in Wigneron et al. (2007). Since then, the model has been implemented in the SMOS algorithm which produced time series of the Level 2 (ESA) and Level 3 (CATDS) SM products, since the beginning of 2010. These SM products have been evaluated against numerical modelling products, in situ data from large SM networks included in the SMOS cal/val initiative and in a series of experimental campaigns based on field (SMOSREX, MELBEX, Upper Danube, etc.) or airborne measurements (NAFE-06, Australia; CAROLS, France; etc.). Eventually, numerical and physical models were used to develop new parameterizations of the soil roughness, soil permittivity, forests and low vegetation effects. Based on this very dense scientific activity some possible future improvements of the L-MEB model have been proposed. In a first step, this communication makes a quick review of the most significant recent results obtained in this field of research. In a second step, we present an illustration of the impact on the SM retrievals of using of a new parameterization of soil surface roughness in L-MEB which consists in combining both the roughness and vegetation effects in a single parameter (TR). The advantages of the SRP approach are twofold: firstly it not necessary to calibrate roughness effects (this is quite an open issue for large scale SMOS pixels) and secondly, the SRP method allows accounting for possible time changes in both the roughness characteristics and the vegetation optical depth. In this study, we present results of the evaluation of the SRP method against in situ measurements made within the SCAN network in 2011 in the USA. Even though first results are very encouraging, more studies evaluating the improvement in SM retrievals using the SRP method from the SMOS observations will be crucial to consolidate the novel retrieval method as a feasible option in the determination of SM at global scale.
dc.language.isoen
dc.title.enA review of the recent improvements in the L-MEB Model (SMOS Mission) - Impact on the accuracy of the soil moisture retrievals
dc.typeCommunication dans un congrès
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.title2. SMOS Science Conference
bordeaux.countryES
bordeaux.conference.cityMadrid
bordeaux.peerReviewednon
hal.identifierhal-02743627
hal.version1
hal.invitednon
hal.conference.organizerEuropean Space Agency (ESA). INT.
hal.conference.organizerCentre National d'Etudes Spatiales (CNES). FRA.
hal.conference.organizerEuropean Society for Agronomy (ESA). INT.
hal.conference.end2015-05-29
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02743627v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2015&rft.au=WIGNERON,%20Jean-Pierre&KERR,%20Yann%20H.&FERRAZZOLI,%20Paolo&SCHWANK,%20Mike&LOPEZ-BAEZA,%20Ernesto&rft.genre=unknown


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