Data in a framework to quantify the uncertainty contribution of GCMs over multiple sources in hydrological impacts of climate change

This dataset includes the daily hydrological simulations under climate change scenarios for the Manic-5 watershed in Canada and the Xiangjiang watershed in China. The format of all files is binary MATLAB file (.mat). The hydrological simulations for each watershed were obtained through an impact modeling chain, which comprises multiple options for each step. To be specific, three greenhouse gas emission scenarios (RCP2.6, RCP4.5 and RCP 8.5), 22 global climate models, 6 downscaling techniques, 5 hydrological models, and 5 sets of parameters for each hydrological model are included. Thus, there are overall 9900 hydrological simulations over the reference (1970-1999) and future (2070-2099) periods for each watershed. This dataset can be used to evaluate the overall uncertainty and uncertainty components in the modeling of hydrological impacts from climate change.