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The Added-Value of Satellite Soil Moisture Observations Over Irrigated Areas to Support Land Surface Model Developments

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorAL-YAARI, A.
dc.contributor.authorWIGNERON, J-P.
dc.contributor.authorCHERUY, Fredrique
dc.contributor.authorCROW, Wade
hal.structure.identifierMilieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols [METIS]
dc.contributor.authorMAGAND, Claire
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFAN, Lei
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorKERR, Yann H.
hal.structure.identifierMilieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols [METIS]
dc.contributor.authorDUCHARNE, Agnès
dc.date.accessioned2024-04-08T12:07:50Z
dc.date.available2024-04-08T12:07:50Z
dc.date.issued2018
dc.date.conference2018-07-22
dc.identifier.isbn978-1-5386-7150-4
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196487
dc.description.abstractEnIn this study, we compared coupled and uncoupled land surface model simulations of surface soil moisture (SM) with passive microwave remote sensing observations of SM over the contiguous US (CONUS). For this purpose, we used the following: (i) the European Space Agency's Soil Moisture and Ocean Salinity (SMOS) satellite retrieved L3 surface SM; (ii) the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) SM derived using LPRM; and (iii) the coupled and uncoupled ORCHIDEE land surface model. The comparison was achieved by computing the temporal mean difference between the normalized remotely-sensed and the model-SM datasets. It was found that both coupled and uncoupled models are drier than the remotely sensed data (particularly the SMOS data) over the principal aquifers of the CONUS. These aquifers are known as one of the places where irrigation is intensive. Therefore, the reason behind this model' dryness could be the fact that the models do not take into account the irrigation activities, which can be monitored by the remotely-sensed observations. Time series of SM over irrigated pixels also showed that SMOS was wetter than the models mainly during the irrigation period.
dc.language.isoen
dc.publisherIEEE
dc.publisher.locationHamburg (germany)
dc.source.titleIEEE International Geoscience and Remote Sensing Symposium Proceedings
dc.title.enThe Added-Value of Satellite Soil Moisture Observations Over Irrigated Areas to Support Land Surface Model Developments
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/IGARSS.2018.8518118
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre/Hydrologie
bordeaux.page3715-3718
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
bordeaux.countryFR
bordeaux.title.proceedingIEEE International Geoscience and Remote Sensing Symposium Proceedings
bordeaux.conference.cityValencia
bordeaux.peerReviewedoui
hal.identifierhal-02332529
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2018-07-27
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02332529v1
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=2018&rft.spage=3715-3718&rft.epage=3715-3718&rft.au=AL-YAARI,%20A.&WIGNERON,%20J-P.&CHERUY,%20Fredrique&CROW,%20Wade&MAGAND,%20Claire&rft.isbn=978-1-5386-7150-4&rft.genre=unknown


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