The experiment design follows a typical hydrological climate change impact study: In a data-synthesis, multi-model ensemble approach a dedicated
greenhouse gas emission scenario (here mainly
SRES A1B) is used with various
global climate models (GCM) (mainly
ECHAM5 and
HadCM3), regionalized via a dynamical
downscaling using regional
climate models (RCM). Based on those readily available datasets, after an extensive model chain evaluation and selection, a correction of systematic biases in the daily air temperature and precipitation outputs of the RCMs is done. These fields are used to finally drive the hydrological models (mainly
HBV). The hydrological model simulation results are used to analyze changes (expressed as scenario bandwidths and tendencies) in average discharge, low-flow and high-flow diagnostics for selected
gauging stations along the Rhine and its major tributaries (
Basel,
Maxau,
Worms,
Kaub,
Cologne,
Lobith,
Raunheim and
Trier). ==Project consortium==