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A platform for research: civil engineering, architecture and urbanism
The use of personal weather station observations to improve precipitation estimation and interpolation
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.
The use of personal weather station observations to improve precipitation estimation and interpolation
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.
The use of personal weather station observations to improve precipitation estimation and interpolation
Bárdossy, András (author) / Seidel, Jochen (author) / El Hachem, Abbas (author) / Universität Stuttgart (host institution)
2021
Miscellaneous
Electronic Resource
English
DDC:
624
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