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http://dx.doi.org/10.18419/opus-11284
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| DC Element | Wert | Sprache |
|---|---|---|
| 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.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.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.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 |
| Enthalten in den Sammlungen: | 02 Fakultät Bau- und Umweltingenieurwissenschaften | |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| hess-25-583-2021.pdf | 7,92 MB | Adobe PDF | Öffnen/Anzeigen |
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