Preprints
https://doi.org/10.5194/hess-2022-118
https://doi.org/10.5194/hess-2022-118
 
11 Apr 2022
11 Apr 2022
Status: this preprint is currently under review for the journal HESS.

Regionalisation of Rainfall Depth-Duration-Frequency curves in Germany

Bora Shehu1, Winfried Willems2, Henrike Stockel2, Luisa Thiele1, and Uwe Haberlandt1 Bora Shehu et al.
  • 1Institute of Hydrology and Water Resources Management, Leibniz University Hannover Germany
  • 2IAWG, Engineering Hydrology, Applied Water Resources and Geoinformatics, Ottobrunn Germany

Abstract. Rainfall depth-duration-frequency (DDF) curves are required for the design of several water systems and protection works. These curves are typically generated from the station data by fitting a theoretical distribution to the annual extremes (AMS). The aim of this study is to investigate the use of different data types and methods for estimating reliable DDF curves covering whole Germany. The following three questions are investigated for the evaluation and regionalisation of the DDF curves in Germany: i) which is the best local estimation method, ii) which regionalisation method shows best performance, and iii) which data sets should be used and how they should be integrated. 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 40 years available, 1261 high resolution (1 min) recordings with observations period between 10 and 20 years, and finally 133 high resolution (1min) 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. 1998 framework, and later use 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 very low return period (T<10 years), but not doesn’t introduce any improvement for higher return periods (T≥10 years).

Bora Shehu et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-118', Anonymous Referee #1, 16 May 2022
    • AC1: 'Reply on RC1', Bora Shehu, 05 Jul 2022
  • RC2: 'Comment on hess-2022-118', Paweł Licznar, 02 Jun 2022
    • AC2: 'Reply on RC2', Bora Shehu, 05 Jul 2022

Bora Shehu et al.

Bora Shehu et al.

Viewed

Total article views: 610 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
453 143 14 610 4 4
  • HTML: 453
  • PDF: 143
  • XML: 14
  • Total: 610
  • BibTeX: 4
  • EndNote: 4
Views and downloads (calculated since 11 Apr 2022)
Cumulative views and downloads (calculated since 11 Apr 2022)

Viewed (geographical distribution)

Total article views: 573 (including HTML, PDF, and XML) Thereof 573 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Sep 2022
Download
Short summary
Rainfall volumes at varying duration and frequencies are required for many engineering water works. These design volumes have been provided by KOSTRA-DWD in Germany. However, a revision of the KOSTRA-DWD is required, in order to consider the recent state-of-the-art and additional data. For this purpose, in our study we investigate different methods and data available, to achieve the best procedure that will serve as a basis for the development of the new KOSTRA-DWD product.