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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| hess-25-583-2021.pdf | 7,92 MB | Adobe PDF | View/Open |
Items in OPUS are protected by copyright, with all rights reserved, unless otherwise indicated.