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Evaluation of six satellite- and model-based surface soil temperature datasets using global ground-based observations

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierWuhan University [China]
dc.contributor.authorMA, Hongliang
hal.structure.identifierUniversity of Chinese Academy of Sciences [Beijing] [UCAS]
dc.contributor.authorZENG, Jiangyuan
hal.structure.identifierWuhan University [China]
hal.structure.identifierChina University of Geosciences [Wuhan] [CUG]
dc.contributor.authorZHANG, Xiang
hal.structure.identifierUniversity of Illinois at Urbana-Champaign [Urbana] [UIUC]
dc.contributor.authorFU, Peng
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorZHENG, Donghai
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorJ.-P., Wigneron
hal.structure.identifierWuhan University [China]
dc.contributor.authorCHEN, Nengcheng
hal.structure.identifierPurdue University [West Lafayette]
dc.contributor.authorNIYOGI, Dev
dc.date.accessioned2024-04-08T11:48:07Z
dc.date.available2024-04-08T11:48:07Z
dc.date.issued2021-10
dc.identifier.issn0034-4257
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195304
dc.description.abstractEnThe comprehensive evaluation of model-and satellite-based surface soil temperature (ST) products is a prerequisite for applications of these datasets in hydrology, ecology, and climate change, as well as in passive microwave soil moisture retrieval algorithms. Distinguished from existing regional validations, this study used ground soil temperature observations of approximately 800 stations from 5 sparse and 15 dense networks worldwide to fully assess six model-and satellite-based surface ST products from April 2015 to December 2017. The products consist of five model-based ST from the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), the Goddard Earth Observing System Model version 5 Forward Processing (GEOS-5 FP), the Global Land Data Assimilation System (GLDAS) Noah, the ERA-Interim and the newly released ERA5 produced by the European Centre for Medium Range Weather Forecasts (ECMWF), and one satellite-based ST retrieved from the Advanced Microwave Scanning Radiometer 2 (AMSR2) by using the Land Parameter Retrieval Model (LPRM). The accuracy of these products was comprehensively assessed per availability of ground networks, soil temperature interval, soil moisture interval, land cover, climate zone, and elevation. The results show that the GEOS-5 exhibits the smallest averaged unbiased root mean square difference (ubRMSD) of 1.84 K among all the surface ST products. All model-based products show a high skill in capturing the temporal trend of ground observations with an averaged correlation coefficient larger than 0.97. The ERA5 surface ST obtains visible improvements compared to its predecessor ERA-Interim by showing smaller ubRMSD and absolute bias values. All model-based surface ST products generally show lower values than ground ST, while their bias tends to be warmer as soil temperature and soil moisture increase except for the highest temperature and moisture conditions. Moreover, unstable performance of most model-based products in shrubland and grassland, tropical, arid and cold climate, and high elevation regions is also demonstrated by larger ubRMSD values. The averaged ubRMSD of the satellite-based LPRM ST is 3.04 K, and more attentions should be paid to the impacts of elevations and underlying surfaces on improving this product. These new findings will be valuable for future refinement of ST datasets, algorithms used to estimate soil moisture from satellite data, and applications in various disciplines.
dc.language.isoen
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enSurface soil temperature
dc.subject.enGEOS-5
dc.subject.enGLDAS
dc.subject.enMERRA-2
dc.subject.enERA-interim
dc.subject.enERA5
dc.subject.enAMSR2 LPRM
dc.subject.enEvaluation
dc.title.enEvaluation of six satellite- and model-based surface soil temperature datasets using global ground-based observations
dc.typeArticle de revue
dc.identifier.doi10.1016/j.rse.2021.112605
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing of Environment
bordeaux.volume264
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03612029
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03612029v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing%20of%20Environment&rft.date=2021-10&rft.volume=264&rft.eissn=0034-4257&rft.issn=0034-4257&rft.au=MA,%20Hongliang&ZENG,%20Jiangyuan&ZHANG,%20Xiang&FU,%20Peng&ZHENG,%20Donghai&rft.genre=article


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