The use of personal weather station observations to improve precipitation estimation and interpolation

dc.contributor.author	Bárdossy, András
dc.contributor.author	Seidel, Jochen
dc.contributor.author	El Hachem, Abbas
dc.date.accessioned	2021-02-11T10:33:52Z
dc.date.available	2021-02-11T10:33:52Z
dc.date.issued	2021	de
dc.description.abstract	In 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.identifier.issn	1607-7938
dc.identifier.issn	1027-5606
dc.identifier.other	1748105396
dc.identifier.uri	http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-113013	de
dc.identifier.uri	http://elib.uni-stuttgart.de/handle/11682/11301
dc.identifier.uri	http://dx.doi.org/10.18419/opus-11284
dc.language.iso	en	de
dc.relation.uri	doi:10.5194/hess-25-583-2021	de
dc.rights	info:eu-repo/semantics/openAccess	de
dc.subject.ddc	624	de
dc.title	The use of personal weather station observations to improve precipitation estimation and interpolation	en
dc.type	article	de
ubs.fakultaet	Bau- und Umweltingenieurwissenschaften	de
ubs.institut	Institut für Wasser- und Umweltsystemmodellierung	de
ubs.publikation.seiten	583-601	de
ubs.publikation.source	Hydrology and earth system sciences 25 (2021), pp. 583-601	de
ubs.publikation.typ	Zeitschriftenartikel	de

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