The Potsdam Institute for Climate Impact Research (PIK) Geodata Server provides access to scientific datasets and visualisation services.

The Potsdam Institute for Climate Impact Research (PIK) Geodata Server provides access to scientific datasets and visualisation services.

The Potsdam Institute for Climate Impact Research (PIK) Geodata Server provides access to scientific datasets and visualisation services.

The Potsdam Institute for Climate Impact Research (PIK) Geodata Server provides access to scientific datasets and visualisation services.

The Canadian Drought Monitor (CDM) is a composite product developed from a wide assortment of information such as the Normalized Difference Vegetation Index (NDVI), streamflow values, Palmer Drought Index, and drought indicators used by the agriculture, forest and water management sectors. Drought prone regions are analyzed based on precipitation, temperature, drought model index maps, and climate data and are interpreted by federal, provincial and academic scientists. Once a consensus is reached, a monthly map showing drought designations for Canada is digitized. AAFC's National Agroclimate Information Service (NAIS) updates this dataset on a monthly basis, usually by the 10th of every month to correspond to the end of the previous month, and subsequent Canadian input into the larger North American Drought Monitor (NA-DM). For more information, visit: http://open.canada.ca/data/en/dataset/292646cd-619f-4200-afb1-8b2c52f984a2

Yukon YESAB Climate - for Secured Geolocator application only

The Potsdam Institute for Climate Impact Research (PIK) Geodata Server provides access to scientific datasets and visualisation services.

The Potsdam Institute for Climate Impact Research (PIK) Geodata Server provides access to scientific datasets and visualisation services.

The Potsdam Institute for Climate Impact Research (PIK) Geodata Server provides access to scientific datasets and visualisation services.

Drought is a deficiency in precipitation over an extended period, usually a season or more, resulting in a water shortage that has adverse impacts on vegetation, animals and/or people. The Climate Moisture Index (CMI) was calculated as the difference between annual precipitation and potential evapotranspiration (PET) – the potential loss of water vapour from a landscape covered by vegetation. Positive CMI values indicate wet or moist conditions and show that precipitation is sufficient to sustain a closed-canopy forest. Negative CMI values indicate dry conditions that, at best, can support discontinuous parkland-type forests. The CMI is well suited to evaluating moisture conditions in dry regions such as the Prairie Provinces and has been used for other ecological studies. Mean annual potential evapotranspiration (PET) was estimated for 30-year periods using the modified Penman-Monteith formulation of Hogg (1997), based on monthly 10-km gridded temperature data. Data shown on maps are 30-year averages. Historical values of CMI (1981-2010) were created by averaging annual CMI calculated from interpolated monthly temperature and precipitation data produced from climate station records. Future values of CMI were projected from downscaled monthly values of temperature and precipitation simulated using the Canadian Earth System Model version 2 (CanESM2) for multiple RCP radiative forcing scenarios. Multiple layers are provided: Climate moisture indexes are shown across Canada for a reference period from 1981-2010. Future projections using RCP 8.5 are given for three different time periods: 2011-2040; 2041-2070; 2071-2100. Future projection using RCP 2.6 given for time period: 2071-2100