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First glance on a revised SMOS soil moisture retrieval algorithm: Evaluation with respect to ECMWF soil moisture simulations

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorAL-YAARI, Amen
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierUniversitat de València [UV]
dc.contributor.authorFERNÁNDEZ-MORÁN, Roberto
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.authorMIALON, Arnaud
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorMAHMOODI, Ali
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorAHMAD, Al Bitar
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorKERR, Yann H.
dc.date.accessioned2024-04-08T12:00:18Z
dc.date.available2024-04-08T12:00:18Z
dc.date.issued2017
dc.date.conference2017-07-23
dc.identifier.isbn978-1-5090-4951-6
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196063
dc.description.abstractEnIn this study, we evaluated a new SMOS (Soil Moisture and Ocean Salinity) soil moisture (SM) product, developed by the collaboration of INRA (Institut National de la Recherche Agronomique) and CESBIO (Centre d'Etudes Spatiales de la BIOsphere), against the operational SMOS level 3 SM product (SMOSL3). This new product (hereinafter referred to as SMOS-INRA-CESBIO, i.e. SMOSIC in short) differs from SMOSL3 three ways: (i) the SMOSIC algorithm considers the pixel as homogeneous and does not take into account the heterogeneity of the pixel; (ii) uses a new calibration of the effective scattering albedo and soil roughness parameters; (iii) no time correlation is applied on the optical depth. The evaluation was done over North America using the (European Center for Medium range Weather Forecasting) ECMWF SM simulation as a reference, using data for 2011. A better performance of the SMOSIC SM product with respect to ECMWF was found: (i) SMOSIC had higher correlation coefficients (temporal dynamics) and lower unbiased RMSD (absolute values) values with ECMWF over most of the study area and (ii) the spatial patterns of the SMOSIC temporal mean SM maps were in a better agreement with ECMWF.
dc.language.isoen
dc.publisherIEEE Remote Sensing Society
dc.publisher.location(united states)
dc.source.titleIEEE International Geoscience and Remote Sensing Symposium Proceedings
dc.title.enFirst glance on a revised SMOS soil moisture retrieval algorithm: Evaluation with respect to ECMWF soil moisture simulations
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/IGARSS.2017.8127269
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.titleIEEE International Geoscience and Remote Sensing Symposium (IGARSS)
bordeaux.countryUS
bordeaux.title.proceedingIEEE International Geoscience and Remote Sensing Symposium Proceedings
bordeaux.conference.cityFort Worth
bordeaux.peerReviewedoui
hal.identifierhal-02737667
hal.version1
hal.invitednon
hal.conference.end2017-07-28
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02737667v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=IEEE%20International%20Geoscience%20and%20Remote%20Sensing%20Symposium%20Proceedings&rft.date=2017&rft.au=AL-YAARI,%20Amen&FERN%C3%81NDEZ-MOR%C3%81N,%20Roberto&WIGNERON,%20Jean-Pierre&MIALON,%20Arnaud&MAHMOODI,%20Ali&rft.isbn=978-1-5090-4951-6&rft.genre=unknown


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