Environment Canada’s 30 day forecast warms the West
By Top Crop Manager/Environment Canada
The 30- and 90-day forecasts are available from Environment Canada, with calls for continued above-normal temperatures in the West while the East holds near normal. Manitoba is forecast to stay warm through October, as well.
August 5, 2008
From an agricultural perspective, Environment Canada’s outlook for the month of August calls for a continuation of above normal temperatures for much of the Prairie provinces. In fact, Manitoba is forecast to see higher than normal temperatures through October. The whole of Saskatchewan will be warmer for August, while the 90 day outlook calls for warmer temperatures for most of the southern third of the province, as well as the northeastern corner with the remainder seeing normal temperatures.
In Alberta, the 30 day forecast calls for above normal temperatures for the southeastern corner and over into British Columbia, while the northeast corner may see higher than normal temperatures. Through October however, temperatures should be closer to normal except for the very southeastern corner of the province. The western region along the BC border from Jasper north may see cooler than normal temperatures.
For Ontario, Quebec and the Maritimes, the 30 day outlook calls for normal temperatures in agricultural zones, except for the eastern end of Prince Edward Island and central Nova Scotia. The 90 day forecasts leans towards cooler temperatures along the St. Lawrence just east of Montreal, northeast past Rimouski and south along the New Brunswick-Maine border.
For more information including the forecast maps, visit Environment Canada at weatheroffice.gc.ca/saisons/index_e.html -and follow the links to ‘Monthly 30 days’ and ‘Seasonal Three Month’ forecasts for temperature. Maps are also available for precipitation models.
weatheroffice.gc.ca/saisons/index_e.html -and follow the links to ‘Monthly 30 days’ and ‘Seasonal Three Month’ forecasts for temperature. Maps are also available for precipitation models.