Abstract
Abstract. We investigated the depth–duration relationship of maximum rainfall over all of Germany based on 16 years of radar-derived quantitative precipitation estimates (namely, RADKLIM-YW, German Meteorological Service) with a space–time resolution of 1 km2 and 5 min. Contrary to the long-term historic records that identified a smooth power law scaling behaviour between the maximum rainfall depth and duration, our analysis revealed three distinct scaling regimes of which boundaries are approximately 1 h and 1 d. A few extraordinary events dominated a wide range of durations and deviate to the usual power law. Furthermore, the shape of the depth–duration relationship varied with the sample size of randomly selected radar pixels. A smooth scaling behaviour was identified when the sample size was small (e.g. 10 to 100), but the original three distinct scaling regimes became more apparent as the sample size increases (e.g. 1000 to 10 000). Lastly, a pixel-wise classification of the depth–duration relationship of the maximum rainfall at all individual pixels in Germany revealed three distinguishable types of scaling behaviour, clearly determined by the temporal structure of the extreme rainfall events at a pixel. Thus, the relationship might change with longer time series and can be improved once available.
Funder
Korea Environmental Industry and Technology Institute
Subject
General Earth and Planetary Sciences
Reference53 articles.
1. American Meteorological Society: Glossary of Meteorology, American
Meteorology Society, available at: http://glossary.ametsoc.org/wiki/
(last access: 6 April 2021), 2020. a
2. Barbero, R., Fowler, H. J., Lenderink, G., and Blenkinsop, S.: Is the
intensification of precipitation extremes with global warming better detected
at hourly than daily resolutions?, Geophys. Res. Lett., 44, 974–983, https://doi.org/10.1002/2016gl071917, 2017. a
3. Blanchet, J., Ceresetti, D., Molinié, G., and Creutin, J.-D.: A regional
GEV scale-invariant framework for Intensity–Duration–Frequency analysis, J. Hydrol., 540, 82–95, https://doi.org/10.1016/j.jhydrol.2016.06.007, 2016. a
4. Borga, M., Gaume, E., Creutin, J. D., and Marchi, L.: Surveying flash floods:
gauging the ungauged extremes, Hydrol. Process., 22, 3883–3885,
https://doi.org/10.1002/hyp.7111, 2008. a
5. Breña-Naranjo, J. A., Pedrozo-Acuña, A., and Rico-Ramirez, M. A.:
World's greatest rainfall intensities observed by satellites, Atmos. Sci. Lett., 16, 420–424, https://doi.org/10.1002/asl2.546, 2015. a
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献