Shehu, B.; Willems, W.; Stockel, H.; Thiele, L.-B.; Haberlandt, U.: Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany. In: Hydrology and earth system sciences : an interactive open-access journal of the European Geosciences Union 27 (2023), Nr. 5, S. 1109-1132. DOI: https://doi.org/10.5194/hess-27-1109-2023
Abstract: | |
Rainfall depth–duration–frequency (DDF) curves are required for the design of several water systems and protection works. For the reliable estimation of such curves, long and dense observation networks are necessary, which in practice is seldom the case. Usually observations with different accuracy, temporal resolution and density are present. In this study, we investigate the integration of different observation datasets under different methods for the local and regional estimation of DDF curves in Germany. For this purpose, two competitive DDF procedures for local estimation (Koutsoyiannis et al., 1998; Fischer and Schumann, 2018) and two for regional estimation (kriging theory vs. index based) are implemented and compared. Available station data from the German Weather Service (DWD) for Germany are employed, which includes 5000 daily stations with more than 10 years available, 1261 high-resolution (1 min) recordings with an observation period between 10 and 20 years, and finally 133 high-resolution (1 min) recordings with 60–70 years of observations. The performance of the selected approaches is evaluated by cross-validation, where the local DDFs from the long sub-hourly time series are considered the true reference. The results reveal that the best approach for the estimation of the DDF curves in Germany is by first deriving the local extreme value statistics based on Koutsoyiannis et al.'s (1998) framework and later using the kriging regionalisation of long sub-hourly time series with the short sub-hourly time series acting as an external drift. The integration of the daily stations proved to be useful only for DDF values of a low return period (T[a] < 10 years) but does not introduce any improvement for higher return periods (T[a] ≥ 10 years). | |
License of this version: | CC BY 4.0 Unported |
Document Type: | Article |
Publishing status: | publishedVersion |
Issue Date: | 2023 |
Appears in Collections: | Fakultät für Bauingenieurwesen und Geodäsie |
pos. | country | downloads | ||
---|---|---|---|---|
total | perc. | |||
1 | Germany | 18 | 50.00% | |
2 | United States | 9 | 25.00% | |
3 | Greece | 2 | 5.56% | |
4 | Denmark | 2 | 5.56% | |
5 | Belgium | 2 | 5.56% | |
6 | India | 1 | 2.78% | |
7 | Indonesia | 1 | 2.78% | |
8 | China | 1 | 2.78% |
Hinweis
Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.