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Satellite-based soil moisture provides missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorAL-YAARI, A.
hal.structure.identifierLaboratoire de Météorologie Dynamique (UMR 8539) [LMD]
dc.contributor.authorCHERUY, F.
hal.structure.identifierHydrology and Remote Sensing Laboratory
dc.contributor.authorCROW, W.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, J.-P.
hal.structure.identifierMilieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols [METIS]
dc.contributor.authorDUCHARNE, Agnès
dc.date.accessioned2024-04-08T12:08:25Z
dc.date.available2024-04-08T12:08:25Z
dc.date.issued2019
dc.identifier.issn2045-2322
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196517
dc.description.abstractEnPast studies have shown that climate simulations have substantial warm and dry biases during the summer in the conterminous United States (CONUS), particularly in the central Great Plains (CGP). These biases have critical implications for the interpretation of climate change projections, but the complex overlap of multiple land-atmosphere feedback processes make them difficult to explain (and therefore correct). Even though surface soil moisture (SM) is often cited as a key control variable in these processes, there are still knowledge gaps about its specific role. Here, we use recently developed remotely sensed SM products to analyse the link between spatial patterns of summertime SM, precipitation and air temperature biases over CONUS in 20 different CMIP5 simulations. We identify three main types of bias combinations: (i) a dry/warm bias over the CGP region, with a significant inter-model correlation between SM and air temperature biases (R = −0.65), (ii) a wet/cold bias in NW CONUS, and (iii) a dry/cold bias in SW CONUS. Combined with irrigation patterns, these results suggest that land-atmosphere feedbacks over the CGP are not only local but have a regional dimension, and demonstrate the added-value of large-scale SM observations for resolving the full feed-back loop between precipitation and temperature.
dc.description.sponsorshipIPSL Climate graduate school - ANR-17-EURE-0006
dc.description.sponsorshipLabEx Institut Pierre Simon Laplace (IPSL): Understand climate and anticipate future changes - ANR-10-LABX-0018
dc.language.isoen
dc.publisherNature Publishing Group
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enHydrology
dc.subject.enClimate sciences
dc.title.enSatellite-based soil moisture provides missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States
dc.typeArticle de revue
dc.identifier.doi10.1038/s41598-018-38309-5
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre/Hydrologie
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre/Climatologie
bordeaux.journalScientific Reports
bordeaux.page1657
bordeaux.volume9
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue1
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02046422
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02046422v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Scientific%20Reports&rft.date=2019&rft.volume=9&rft.issue=1&rft.spage=1657&rft.epage=1657&rft.eissn=2045-2322&rft.issn=2045-2322&rft.au=AL-YAARI,%20A.&CHERUY,%20F.&CROW,%20W.&WIGNERON,%20J.-P.&DUCHARNE,%20Agn%C3%A8s&rft.genre=article


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