This CLIMATE CHANGE service is a component of a hybrid WEB/GIS online mapping application developed by Environment Canada (EC) with funding support from the Climate Change Action Fund (CCAF) and GeoConnections. It gives access to analyses of both historical climate data, and projected climate change scenarios, developed from the Statistical Downscaling Model (SDSM), using global grid scale projections from the Canadian Global Circulation Model 1 (CGCM1), running the Green House Gas plus Aerosol emissions experiment (GHG+A1). Downscaled scenarios are available for three meteorological parameters; maximum daily temperature (Tmax); daily minimum temperature (Tmin), and total daily precipitation (Pcpn). Analyses were performed at 14 sites in Atlantic Canada for the historical period (1961-90), and for projections into the 2020's (2011-2040), the 2050's (2041-2070), and the 2080's (2071-2100). In addition extremes for maximum annual total 24-hour precipitation were analyzed using GUMBEL EV1 statistics for the 50 and 100 year return period values projected out to 2100. STARDEX (Statistical and Regional dynamical Downscaling of Extremes for European regions) software was used to identify meteorological extremes (both seasonal and annual) for some 24 precipitation and 33 temperature indices out to 2100.

This CLIMATE CHANGE service is a component of a hybrid WEB/GIS online mapping application developed by Environment Canada (EC) with funding support from the Climate Change Action Fund (CCAF) and GeoConnections. It gives access to analyses of both historical climate data, and projected climate change scenarios, developed from the Statistical Downscaling Model (SDSM), using global grid scale projections from the Canadian Global Circulation Model 1 (CGCM1), running the Green House Gas plus Aerosol emissions experiment (GHG+A1). Downscaled scenarios are available for three meteorological parameters; maximum daily temperature (Tmax); daily minimum temperature (Tmin), and total daily precipitation (Pcpn). Contours are generated using data from 14 sites in Atlantic Canada for the historical period (1961-90), and for projections into the 2020's (2011-2040), the 2050's (2041-2070), and the 2080's (2071-2100).