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hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorALYAARI, A.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, J.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorDUCHARNE, Agnès
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorKERR, Yann H.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorAHMAD, Al Bitar
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorJEU, R.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorGOVIND, A.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorROSNAY, P.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorALBERGEL, C.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorMUNOZ-SABATER, J.
dc.date.accessioned2024-04-08T12:12:15Z
dc.date.available2024-04-08T12:12:15Z
dc.date.issued2014
dc.date.conference2014
dc.identifier.isbn978-1-4799-4644-0/14
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196746
dc.description.abstractEnThe CATDS Centre (Centre Aval de Traitement des Données) recently released global daily gridded surface soil moisture (SSM) products derived from the SMOS (Soil Moisture and Ocean Salinity) satellite brightness temperatures observations, the so called SMOS level 3 SSM datasets. To further improve the Level-3 retrieval algorithm, evaluation of the accuracy of the spatio-temporal variability of the SMOS Level 3 products (SMOSL3) is necessary. For this purpose, a comparative analysis of SMOS Level 3 ascending (SMOSL3-ASC) and descending (SMOSL3-DES) with a SSM product derived from the observations of the Advanced Microwave Scanning Radiometer (AMSR-E) computed by implementing the Land Parameter Retrieval Model (LPRM) algorithm, referred to as AMSR-LPRM, was conducted. The comparison of both products was made against SM-DAS-2 SSM products produced at ECMWF (European Centre for Medium-Range Weather Forecasts) during the 03/2010-09/2011 period at the global scale. Global maps of correlation coefficient (R) were computed and averaged as a function of biome types. We found that SMOSL3 (ASC and DES) and AMSR-E are capable of reproducing the temporal dynamics of the SM-DAS-2 SSM products over most of the globe. The SMOSL3-ASC product performed better than the descending one but both were found to better capture the SSM temporal dynamics in highly vegetated biomes (“Tropical humid”, “Temperate Humid”, etc.) than AMSR-LPRM. AMSR-LPRM was more capable of capturing the temporal dynamics over arid (“Desert temperate” and “Desert tropical”) biomes. Finally, we show that the accuracy of the remotely sensed SSM products is strongly related to leaf area index (LAI). Both the SMOSL3 and AMSR-LPRM (slightly better) SSM products correlate best with the SM-DAS-2 products over biomes with an average value of LAI of ~ 1.86.
dc.language.isoen
dc.publisherIEEE
dc.subject.enLPRM algorithm
dc.subject.enLand Parameter Retrieval Model
dc.subject.enLevel-3 retrieval algorithm
dc.subject.enSMOS Level 3 ascending
dc.subject.enSM-DAS-2 SSM products
dc.subject.enSMOS Level 3 products
dc.subject.enSMOS Level descending
dc.subject.enSMOS level 3 SSM datasets
dc.subject.enSMOS satellite brightness temperatures observations
dc.subject.enSMOS soil moisture retrieval
dc.subject.enSSM product
dc.subject.enSSM products
dc.subject.enSSM temporal dynamics
dc.subject.englobal daily gridded SSM products
dc.subject.enland data assimilation system
dc.subject.enleaf area index
dc.subject.ensurface soil moisture
dc.subject.enIndexes
dc.subject.enCorrelation
dc.subject.enEuropean Centre for Medium-Range Weather Forecasts
dc.subject.enECMWF
dc.subject.enCATDS Centre
dc.subject.enAdvanced Microwave Scanning Radiometer
dc.subject.enAMSR-E soil moisture retrieval
dc.subject.enAD 2010 03 to 2011 09
dc.subject.envegetation
dc.subject.enremote sensing
dc.subject.endata assimilation
dc.subject.enhydrological techniques
dc.subject.enMeteorology
dc.subject.enMicrowave radiometry
dc.subject.enSatellites
dc.subject.enVegetation mapping
dc.subject.enAMSR-E
dc.subject.enSMOS
dc.subject.enpassive microwave
dc.subject.ensoil moisture
dc.title.enPerformances of SMOS and AMSR-E soil moisture retrievals against Land Data Assimilation system estimates
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/MicroRad.2014.6878900
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre/Hydrologie
bordeaux.page19-24
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleMicrowave Radiometry and Remote Sensing of the Environment (MicroRad), 2014 13th Specialist Meeting on
bordeaux.countryZZ
bordeaux.conference.cityUnknown
bordeaux.peerReviewedoui
hal.identifierhal-01196448
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.organizerIEEE Geoscience and Remote Sensing Society (GRSS). USA.
hal.conference.end2014-03-27
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01196448v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2014&rft.spage=19-24&rft.epage=19-24&rft.au=ALYAARI,%20A.&WIGNERON,%20J.&DUCHARNE,%20Agn%C3%A8s&KERR,%20Yann%20H.&AHMAD,%20Al%20Bitar&rft.isbn=978-1-4799-4644-0/14&rft.genre=unknown


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