Extreme flood estimates are important in the design of hydrological infrastructure, including highways, stormwater drains, bridges, and culverts. In this research, a first attempt to estimate extreme values based on simulated runoff from the ICRA reanalysis data is investigated. Firstly, runoff is converted into discharge and compared to measurements from 44 stations around Iceland. Hierarchical cluster analysis is then used to identify groups of stations that cluster similarly whether the analysis is based on observed or simulated discharge. Clusterbased corrections are then investigated to correct systematic overestimation in the simulated dataset. An Extreme Value Analysis is then performed and showed closer results between return level values based on observations and simulations after applying the correction in a majority of cases. Overall, these result show that extreme discharge values based on catchment-accumulated runoff from the ICRA dataset is able to simulate the observed high
discharge after correction. The findings of this study represent an initial methodology that could successfully assess design-flood values for ungauged catchments throughout the country.
Andréa-Giorgio R Massad, Tinna Þórarinsdóttir og Matthew J. Roberts - Veðurstofa Íslands
nr_1800_878_mat-a-honnunarflodi-a-omaeldum-vatnasvidum-med-notkun-afrennslisgagna-ur-endurgreiningu-a-vedurspalikaninu-harmonie.pdf
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