In collaboration with the National Center for Atmospheric Research, Leung has been developing and applying
advanced regional climate models that will help improve the predictions of climate change and its impacts.
Our approach is a significant
advance on previous
models, as we incorporate the lake index as a proxy for local
climate, together with
regional and global paleoclimate records.
Methodological
advances since the TAR have focused on exploring the effects of different ways of downscaling from the
climate model scale to the catchment scale (e.g., Wood et al., 2004), the use of
regional climate models to create scenarios or drive hydrological
models (e.g., Arnell et al., 2003; Shabalova et al., 2003; Andreasson et al., 2004; Meleshko et al., 2004; Payne et al., 2004; Kay et al., 2006b; Fowler et al., 2007; Graham et al., 2007a, b; Prudhomme and Davies, 2007), ways of applying scenarios to observed
climate data (Drogue et al., 2004), and the effect of hydrological
model uncertainty on estimated impacts of
climate change (Arnell, 2005).