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  2. Universität Stuttgart
  3. 02 Fakultät Bau- und Umweltingenieurwissenschaften
Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-11284
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dc.contributor.authorBárdossy, András-
dc.contributor.authorSeidel, Jochen-
dc.contributor.authorEl Hachem, Abbas-
dc.date.accessioned2021-02-11T10:33:52Z-
dc.date.available2021-02-11T10:33:52Z-
dc.date.issued2021de
dc.identifier.issn1607-7938-
dc.identifier.issn1027-5606-
dc.identifier.other1748105396-
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/11301-
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-113013de
dc.identifier.urihttp://dx.doi.org/10.18419/opus-11284-
dc.description.abstractIn this study, the applicability of data from private weather stations (PWS) for precipitation interpolation was investigated. Due to unknown errors and biases in these observations, a two-step filter was developed that uses indicator correlations and event-based spatial precipitation patterns. The procedure was tested and cross validated for the state of Baden-Württemberg (Germany). The biggest improvement is achieved for the shortest time aggregations.en
dc.language.isoende
dc.relation.uridoi:10.5194/hess-25-583-2021de
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.subject.ddc624de
dc.titleThe use of personal weather station observations to improve precipitation estimation and interpolationen
dc.typearticlede
ubs.fakultaetBau- und Umweltingenieurwissenschaftende
ubs.institutInstitut für Wasser- und Umweltsystemmodellierungde
ubs.publikation.seiten583-601de
ubs.publikation.sourceHydrology and earth system sciences 25 (2021), pp. 583-601de
ubs.publikation.typZeitschriftenartikelde
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