Hydrological impact studies analyse the effects of climate change on hydrological variables, such as changes in soil moisture, streamflow or hydrological extremes. This project aims to investigate the realised added value effect of model bias correction and downscaling methods on hydrological projections for Australia.
Tag Archive: GCM
CLEX researchers find the inclusion of upper South Pacific Ocean variability significantly improved the predictions of ENSO and PDO modes in simple linear inverse models.
This study evaluated GCMs for common drought metrics during the past 55 years. It found different models can produce very different simulations of drought, depending on the type of drought and metric analysed. The study points to a need to improve GCMs for droughts to reduce uncertainties in future projections.