Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-11284
Authors: Bárdossy, András
Seidel, Jochen
El Hachem, Abbas
Title: The use of personal weather station observations to improve precipitation estimation and interpolation
Issue Date: 2021
metadata.ubs.publikation.typ: Zeitschriftenartikel
metadata.ubs.publikation.seiten: 583-601
metadata.ubs.publikation.source: Hydrology and earth system sciences 25 (2021), pp. 583-601
URI: http://elib.uni-stuttgart.de/handle/11682/11301
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-113013
http://dx.doi.org/10.18419/opus-11284
ISSN: 1607-7938
1027-5606
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.
Appears in Collections:02 Fakultät Bau- und Umweltingenieurwissenschaften

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