Environment Canada

Climate Change Contour Lines (Atlantic Region)

S_2_0_3_25_0_5_mm_per_day S_2_0_3_25_0_5_mm_per_day S_2_0_3_25_0_5_mm_per_day
Service health Now:
Interface
Web Service, OGC Web Map Service 1.1.1
Keywords
Climate Change, climate data, historical climate data, meteorological, weather prediction, temperature, precipitation, contours
Fees
none
Access constraints
none
Data provider

Environment Canada (unverified)

Contact information:

Ryan Alexander

Environment Canada

postal:
45 Alderney Drive, 7th floor, B2Y 2N6 Dartmouth, Canada

Email: 

Phone: 902-426-0620

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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).

Available map layers (7)

Climate Change Contour Lines (Atlantic Region) (CONTOURS)

S_2_0_3_25_0_5_mm_per_day (S_2_0_3_25_0_5_mm_per_day)

STARDEX (Statistical and Regional dynamical Downscaling of Extremes) software used to predict Mean Climatological Precipitation(mm/day) during the summer season for the period 2041-2070 at an interval of 0.5 mm per day.

Layer metadata (html)

S_2_0_3_26_0_5_mm_per_day (S_2_0_3_26_0_5_mm_per_day)

STARDEX (Statistical and Regional dynamical Downscaling of Extremes) software used to predict 20th percentile of rainday amounts (mm/day) during the summer season for the period 2041-2070 at an interval of 0.5 mm per day.

Layer metadata (html)

S_2_0_3_27_0_5_mm_per_day (S_2_0_3_27_0_5_mm_per_day)

STARDEX (Statistical and Regional dynamical Downscaling of Extremes) software used to predict 40th percentile of rainday amounts (mm/day) during the summer season for the period 2041-2070 at an interval of 0.5 mm per day.

Layer metadata (html)

S_2_0_3_28_0_5_mm_per_day (S_2_0_3_28_0_5_mm_per_day)

STARDEX (Statistical and Regional dynamical Downscaling of Extremes) software used to predict 50th percentile of rainday amounts (mm/day) during the summer season for the period 2041-2070 at an interval of 0.5 mm per day.

Layer metadata (html)

S_2_0_3_29_0_5_mm_per_day (S_2_0_3_29_0_5_mm_per_day)

STARDEX (Statistical and Regional dynamical Downscaling of Extremes) software used to predict 60th percentile of rainday amounts (mm/day) during the summer season for the period 2041-2070 at an interval of 0.5 mm per day.

Layer metadata (html)

S_2_0_3_30_0_5_mm_per_day (S_2_0_3_30_0_5_mm_per_day)

STARDEX (Statistical and Regional dynamical Downscaling of Extremes) software used to predict 80th percentile of rainday amounts (mm/day) during the summer season for the period 2041-2070 at an interval of 0.5 mm per day.

Layer metadata (html)

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Last updated 2025-03-30 00:53:54 UTC.