Articles | Volume 21, issue 4
Research article
09 Apr 2021
Research article |  | 09 Apr 2021

An analysis of temporal scaling behaviour of extreme rainfall in Germany based on radar precipitation QPE data

Judith Marie Pöschmann, Dongkyun Kim, Rico Kronenberg, and Christian Bernhofer

Data sets

Radar climatology (RADKLIM) version 2017.002: Reprocessed quasi gauge-adjusted radar data, 5-minute precipitation sums (YW) T. Winterrath, C. Brendel, M. Hafer, T. Junghänel, T., A. Klameth, K. Lengfeld, E. Walawender, E. Weigl, and A. Becker

Model code and software

ggplot2: Elegant Graphics for Data Analysis H. Wickham

rasterVis, package version 0.46 - For new features, see the 'Changelog' file (in the package source) O. Perpiñán, and R. Hijmans

RcppRoll: Efficient Rolling/Windowed Operations, package version 0.3.0 - For new features, see the 'Changelog' file (in the package source) K. Ushey

fst: Lightning Fast Serialization of Data Frames for R, r package version 0.9.0 - For new features, see the 'Changelog' file (package source) M. Klik

Short summary
We examined maximum rainfall values for different durations from 16 years of radar-based rainfall records for whole Germany. Unlike existing observations based on rain gauge data no clear linear relationship could be identified. However, by classifying all time series, we could identify three similar groups determined by the temporal structure of rainfall extremes observed in the study period. The study highlights the importance of using long data records and a dense measurement network.
Final-revised paper