Estimation of regional intensity-duration-frequency curves for extreme precipitation

Research Article| June 01 1998 Estimation of regional intensity-duration-frequency curves for extreme precipitation H. Madsen; H. Madsen *Department of Hydrodynamics and Water Resources, Technical University of Denmark, Building 115, DK-2800 Lyngby, Denmark Search for other works by this author on: This Site PubMed Google Scholar P. S. Mikkelsen; P. S. Mikkelsen **Department of Environmental Science and Engineering, Technical University of Denmark, Building 115, DK-2800 Lyngby, Denmark Search for other works by this author on: This Site PubMed Google Scholar D. Rosbjerg; D. Rosbjerg *Department of Hydrodynamics and Water Resources, Technical University of Denmark, Building 115, DK-2800 Lyngby, Denmark Search for other works by this author on: This Site PubMed Google Scholar P. Harremoës P. Harremoës **Department of Environmental Science and Engineering, Technical University of Denmark, Building 115, DK-2800 Lyngby, Denmark Search for other works by this author on: This Site PubMed Google Scholar Water Sci Technol (1998) 37 (11): 29–36. https://doi.org/10.2166/wst.1998.0429 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation H. Madsen, P. S. Mikkelsen, D. Rosbjerg, P. Harremoës; Estimation of regional intensity-duration-frequency curves for extreme precipitation. Water Sci Technol 1 June 1998; 37 (11): 29–36. doi: https://doi.org/10.2166/wst.1998.0429 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Regional estimation of extreme precipitation from a high resolution rain gauge network in Denmark is considered. The applied extreme value model is based on the partial duration series (PDS) approach in which all events above a certain threshold level are modelled. For a preliminary assessment of regional homogeneity and identification of a proper regional distribution L-moment analysis is applied. To analyse the regional variability in more detail, a generalised least squares regression analysis is carried out that relates the PDS model parameters to climatic and physiographic characteristics. The analysis reveals that the mean annual number of extreme events varies significantly within the region, and a large part of this variability can be explained by the mean annual rainfall. The mean value of the exceedance magnitudes can be assumed constant for intensities with durations less than one hour. For larger durations a pronounced metropolitan effect is evident, the mean intensities in the Copenhagen area being significantly larger than found in the rest of the country. With respect to second and higher order moments the region can be considered homogeneous for intensities with durations less than 24 hours. A regional parent distribution is identified as the generalised Pareto distribution. Extreme rainfalls, partial duration series, regional estimation, L-moments, regression analysis This content is only available as a PDF.