Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/112066
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dc.contributor.authorDo, H.en
dc.contributor.authorGudmundsson, L.en
dc.contributor.authorLeonard, M.en
dc.contributor.authorWestra, S.en
dc.date.issued2018en
dc.identifier.citationEarth System Science Data, 2018; 10(2):765-785en
dc.identifier.issn1866-3508en
dc.identifier.issn1866-3516en
dc.identifier.urihttp://hdl.handle.net/2440/112066-
dc.description.abstractThis is the first part of a two-paper series presenting the Global Streamflow Indices and Metadata archive (GSIM), a worldwide collection of metadata and indices derived from more than 35 000 daily streamflow time series. This paper focuses on the compilation of the daily streamflow time series based on 12 free-to-access streamflow databases (seven national databases and five international collections). It also describes the development of three metadata products (freely available at https://doi.pangaea.de/10.1594/PANGAEA.887477): (1) a GSIM catalogue collating basic metadata associated with each time series, (2) catchment boundaries for the contributing area of each gauge, and (3) catchment metadata extracted from 12 gridded global data products representing essential properties such as land cover type, soil type, and climate and topographic characteristics. The quality of the delineated catchment boundary is also made available and should be consulted in GSIM application. The second paper in the series then explores production and analysis of streamflow indices. Having collated an unprecedented number of stations and associated metadata, GSIM can be used to advance large-scale hydrological research and improve understanding of the global water cycle.en
dc.description.statementofresponsibilityHong Xuan Do, Lukas Gudmundsson, Michael Leonard and Seth Westraen
dc.language.isoenen
dc.publisherCopernicus Publicationsen
dc.rights© Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.en
dc.titleThe Global Streamflow Indices and Metadata archive (GSIM)-part 1: the production of a daily streamflow archive and metadataen
dc.typeJournal articleen
dc.identifier.rmid0030085971en
dc.identifier.doi10.5194/essd-10-765-2018en
dc.relation.granthttp://purl.org/au-research/grants/arc/DP150100411en
dc.identifier.pubid406562-
pubs.library.collectionCivil and Environmental Engineering publicationsen
pubs.library.teamDS14en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Civil and Environmental Engineering publications

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