Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8862853 | Journal of Hydrology: Regional Studies | 2018 | 17 Pages |
Abstract
New hydrological insights for the region: Runoff indicators are calculated for the investigated catchment using bias corrected RCM data. The quantile mapping approach proves superior to linear scaling and local intensity scaling and is recommended as the bias correction method of choice when assessing climate change impacts on catchment hydrology. Extreme flow indicators (high flows), however, are poorly represented by any bias corrected model results, as current approaches fail to properly capture extreme value statistics. The CCS of mean hydrological indicator values (e.g. mean flow) is well preserved by almost every BC technique. For extreme indicator values (e.g. high flows), the CCS shows distinct differences between the original RCM and BC data.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Earth-Surface Processes
Authors
Florian Willkofer, Franz-Josef Schmid, Holger Komischke, Jane Korck, Marco Braun, Ralf Ludwig,