farming systems represented in the economic model and to estimate nitrogen pollutant emissions. Down-scaling methods are …

investigated. Several statistical downscaling methods are used to generate temperature and precipitation scenarios from the third … simulate runoff. All downscaling methods agree that temperature will increase with time and that precipitation will also … distribution of precipitation changes is important for runoff, as is the increase in evapotranspiration. The choice of downscaling …

methodology are: (i) spatial downscaling of the maximum daily precipitation values from the global climate model/s (GCM) data to … GCM data between the baseline period and the future period (temporal downscaling). The main advantage of the proposed … method compared to the existing methods which only use the spatial downscaling/disaggregation methods at baseline period, is …

spatiotemporal downscaling of rainfall and 2D overland-flow modeling yields not only the extent of inundation, but also the time to …

–2050 and 2070–2099 against 1961–1990. A statistical downscaling technique, applied to the ENSEMBLES-Stream1 and CIRCE global … relevant due to its impacts on transports, health, and agriculture. The downscaling scheme constructed using observed data is …

error around 40%. While the approach of statistical downscaling from a large spatial domain has been applied for other …