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A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau

hal.structure.identifierUniversity of Chinese Academy of Sciences [Beijing] [UCAS]
dc.contributor.authorXING, Zanpin
hal.structure.identifierSouthwest University [Chongqing]
dc.contributor.authorFAN, Lei
hal.structure.identifierNanjing University of Science and Technology [NJUST]
dc.contributor.authorZHAO, Lin
hal.structure.identifierCatholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
dc.contributor.authorDE LANNOY, Gabrielle
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorFRAPPART, Frédéric
hal.structure.identifierLeipzig University / Universität Leipzig
dc.contributor.authorPENG, Jian
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLI, Xiaojun
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorZENG, Jiangyuan
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorAL-YAARI, Amen
hal.structure.identifierTsinghua University [Beijing] [THU]
dc.contributor.authorYANG, Kun
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorZHAO, Tianjie
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorSHI, Jiancheng
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWANG, Mengjia
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLIU, Xiangzhuo
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorHU, Guojie
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorXIAO, Yao
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorDU, Erji
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorLI, Ren
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorQIAO, Yongping
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorSHI, Jianzong
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorWEN, Jianguang
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorJ.-P., Wigneron
dc.date.accessioned2024-04-08T11:48:03Z
dc.date.available2024-04-08T11:48:03Z
dc.date.issued2021-11
dc.identifier.issn0034-4257
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195302
dc.description.abstractEnLong-term and high-quality surface soil moisture (SSM) and root-zone soil moisture (RZSM) data is crucial for understanding the land-atmosphere interactions of the Qinghai-Tibet Plateau (QTP). More than 40% of QTP is covered by permafrost, yet few studies have evaluated the accuracy of SSM and RZSM products derived from microwave satellite, land surface models (LSMs) and reanalysis over that region. This study tries to address this gap by evaluating a range of satellite and reanalysis estimates of SSM and RZSM in the thawed soil overlaying permafrost in the QTP, using in-situ measurements from sixteen stations. Here, seven SSM products were evaluated: Soil Moisture Active Passive L3 (SMAP L3) and L4 (SMAP-L4), Soil Moisture and Ocean Salinity in version IC (SMOS IC), Land Parameter Retrieval Model (LPRM) Advanced Microwave Scanning Radiometer 2 (AMSR2), European Space Agency Climate Change Initiative (ESA CCI), Advanced Scatterometer (ASCAT), and the fifth generation of the land component of the European Centre for Medium-Range Weather Forecasts atmospheric reanalysis (ERAS-Land). We also evaluated three RZSM products from SMAP-L4, ERA5-Land, and the Noah land surface model driven by Global Land Data Assimilation System (GLDAS-Noah). The assessment was conducted using five statistical metrics, i. e. Pearson correlation coefficient (R), bias, slope, Root Mean Square Error (RMSE), and unbiased RMSE (ubRMSE) between SSM or RZSM products and in-situ measurements. Our results showed that the ESA CCI, SMAP-L4 and SMOS-IC SSM products outperformed the other SSM products, indicated by higher correlation coefficients (R) (with a median R value of 0.63, 0.44 and 0.57, respectively) and lower ubRMSE (with a median ubRMSE value of 0.05, 0.04 and 0.07 m(3)/m(3), respectively). Yet, SSM overestimation was found for all SSM products. This could be partly attributed to ancillary data used in the retrieval (e.g. overestimation of land surface temperature for SMAP-L3) and to the fact that the products (e.g. LPRM) more easily overestimate the in-situ SSM when the soil is very dry. As expected, SMAP-L3 SSM performed better in areas with sparse vegetation than with dense vegetation covers. For RZSM products, SMAP-L4 and GLDAS-Noah (R = 0.66 and 0.44, ubRMSE = 0.03 and 0.02 m(3)/m(3), respectively) performed better than ERAS-Land (R = 0.46; ubRMSE = 0.03 m(3)/m(3)). It is also found that all RZSM products were unable to capture the variations of in-situ RZSM during the freezing/thawing period over the permafrost regions of QTP, due to large deviation for the ice-water phase change simulation and the lack of consideration for unfrozen-water migration during freezing processes in the LSMs.
dc.language.isoen
dc.publisherElsevier
dc.subject.enQinghai-Tibet Plateau
dc.subject.enPermafrost
dc.subject.enMicrowave remote sensing
dc.subject.enReanalysis datasets
dc.subject.enSurface soil moisture
dc.subject.enRoot-zone soil moisture
dc.subject.enSMOS
dc.subject.enSMAP
dc.subject.enAMSR2
dc.subject.enASCAT
dc.subject.enESA CCI
dc.subject.enERAS-land
dc.subject.enGLDAS-Noah
dc.subject.enInter-comparison
dc.title.enA first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau
dc.typeArticle de revue
dc.identifier.doi10.1016/j.rse.2021.112666
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing of Environment
bordeaux.page112666
bordeaux.volume265
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03612873
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03612873v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing%20of%20Environment&rft.date=2021-11&rft.volume=265&rft.spage=112666&rft.epage=112666&rft.eissn=0034-4257&rft.issn=0034-4257&rft.au=XING,%20Zanpin&FAN,%20Lei&ZHAO,%20Lin&DE%20LANNOY,%20Gabrielle&FRAPPART,%20Fr%C3%A9d%C3%A9ric&rft.genre=article


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