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2020-11-21Zeitschriftenartikel DOI: 10.18452/22189
Intercomparison of Gridded Precipitation Datasets over a Sub-Region of the Central Himalaya and the Southwestern Tibetan Plateau
dc.contributor.authorHamm, Alexandra
dc.contributor.authorArndt, Anselm
dc.contributor.authorKolbe, Christine
dc.contributor.authorWang, Xun
dc.contributor.authorThies, Boris
dc.contributor.authorBoyko, Oleksiy
dc.contributor.authorReggiani, Paolo
dc.contributor.authorScherer, Dieter
dc.contributor.authorBendix, Jörg
dc.contributor.authorSchneider, Christoph
dc.date.accessioned2020-11-26T12:31:11Z
dc.date.available2020-11-26T12:31:11Z
dc.date.issued2020-11-21none
dc.identifier.urihttp://edoc.hu-berlin.de/18452/22807
dc.descriptionThis article was supported by the German Research Foundation (DFG) and the Open Access Publication Fund of Humboldt-Universität zu Berlin.none
dc.description.abstractPrecipitation is a central quantity of hydrometeorological research and applications. Especially in complex terrain, such as in High Mountain Asia (HMA), surface precipitation observations are scarce. Gridded precipitation products are one way to overcome the limitations of ground truth observations. They can provide datasets continuous in both space and time. However, there are many products available, which use various methods for data generation and lead to different precipitation values. In our study we compare nine different gridded precipitation products from different origins (ERA5, ERA5-Land, ERA-interim, HAR v2 10 km, HAR v2 2 km, JRA-55, MERRA-2, GPCC and PRETIP) over a subregion of the Central Himalaya and the Southwest Tibetan Plateau, from May to September 2017. Total spatially averaged precipitation over the study period ranged from 411 mm (GPCC) to 781 mm (ERA-Interim) with a mean value of 623 mm and a standard deviation of 132 mm. We found that the gridded products and the few observations, with few exceptions, are consistent among each other regarding precipitation variability and rough amount within the study area. It became obvious that higher grid resolution can resolve extreme precipitation much better, leading to overall lower mean precipitation spatially, but higher extreme precipitation events. We also found that generally high terrain complexity leads to larger differences in the amount of precipitation between products. Due to the considerable differences between products in space and time, we suggest carefully selecting the product used as input for any research application based on the type of application and specific research question. While coarse products such as ERA-Interim or ERA5 that cover long periods but have coarse grid resolution have previously shown to be able to capture long-term trends and help with identifying climate change features, this study suggests that more regional applications, such as glacier mass-balance modeling, require higher spatial resolution, as is reproduced, for example, in HAR v2 10 km.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectprecipitationeng
dc.subjectreanalysis dataeng
dc.subjectsatellite retrievaleng
dc.subjectcomplex terraineng
dc.subjectspatial resolutioneng
dc.subjecttemporal resolutioneng
dc.subjectHigh Mountain Asiaeng
dc.subjectTibetan Plateaueng
dc.subjectthird poleeng
dc.subject.ddc690 Bau von Gebäudennone
dc.titleIntercomparison of Gridded Precipitation Datasets over a Sub-Region of the Central Himalaya and the Southwestern Tibetan Plateaunone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/22807-7
dc.identifier.doihttp://dx.doi.org/10.18452/22189
dc.type.versionpublishedVersionnone
local.edoc.pages23none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn2073-4441
dcterms.bibliographicCitation.doi10.3390/w12113271
dcterms.bibliographicCitation.journaltitleWaternone
dcterms.bibliographicCitation.volume12none
dcterms.bibliographicCitation.issue11none
dcterms.bibliographicCitation.articlenumber3271none
dcterms.bibliographicCitation.originalpublishernameMDPInone
dcterms.bibliographicCitation.originalpublisherplaceBaselnone
bua.departmentMathematisch-Naturwissenschaftliche Fakultätnone

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