October, 1999
Agricultural Climate of Manitoba
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| This publication is a reference tool for
agricultural producers and agribusiness. Using a series of maps, it describes the
agricultural climate of Manitoba, based on the climate in the region over a 60 year period
(1929 to 1988).
The agro-climatic information in this publication has certain limitations.
First, some climate stations do not completely represent the regions they monitor. Such is
the case when a climate station is located in a river valley and farmland is on the
adjacent plain.
Next, the length of record varies from station to station. To maximize the
geographical detail, stations with a minimum of 20 years of records have been used.
Finally, the density of stations determines the extent of the regions on
all the agro-climatic maps. Figure 1 shows the climatic
stations used to prepare these maps. With an average distance of about 50 km between
stations, the maps present climatic information on a regional scale. |
List of Maps
Table of Contents:
Definitions:
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This map shows that station density is not the same throughout the
agricultural region of the province. Clearly, the data is most reliable in areas that have
the highest station densities.
The following examples show how to use the maps in this publication.
Climatic parameters are identified on each map by different colours. Each colour
represents an area in which the value of a climatic parameter falls within a given range.
For Example, Figure 2 shows the
average date of occurrence of the last spring frost at 0° C. To determine this date for
Altona (south of the city of Winnipeg, near the Manitoba-U. S. border), note that the zone
which Altona is located in is coloured red. Therefore, according to the maps legend,
the average date of the last spring frost at Altona occurs from May 14 to May 19.
For another example, review Figure 30.
This map shows the average growing season precipitation for spring wheat. Consider the
zone surrounding Souris. This area is coloured light green, and according to the
maps legend, receives 200 to 210 mm of growing season precipitation.
Prepared by:
G.H.B. Ash, D.A. Blatta and B.A. Mitchell, B. Davies
Manitoba Agriculture, Food and Rural Initiatives, Agriculture Resource Section
C.F. Shaykewich and J.L. Wilson
University of Manitoba, Department of Soil Science
R.L. Raddatz
Winnipeg Climate Centre, Environment Canada
Funding provided by:
Manitoba Agriculture, Food and Rural Initiatives
Environment Canada
Covering New Ground - Manitoba's Agricultural Sustainability Initive
University of Manitoba
Figure 1: Names and Locations of Weather
Stations Used in this Analysis
Last Spring Frost
Figure 2: Average Date of the Last Spring Frost at 0° C
Figure 3: 25 Percent Risk Date of the Last Spring Frost at 0°
C
Figure 4: 10 Percent Risk Date of the Last Spring Frost at 0°
C
First Fall Frost
Figure 5: Average Date of the First Fall Frost at 0° C
Figure 6: 25 Percent Risk Date of the First Fall Frost at 0°
C
Figure 7: 10 Percent Risk Date of the First Fall Frost at 0°
C
Frost-free Length
Figure 8: Average Length of the Frost-free Period Above 0°
C
Figure 9: Length of the Frost-free Period Above 0° C at a 25
Percent Risk
Figure 10: Length of the Frost-free Period Above 0° C at a
10 Percent Risk
Accumulation of Growing Degree Days (GDD)
Figure 11: Average Annual Accumulation of GDD Above 5° C
Figure 12: Annual Accumulation of GDD Above 5° C at a 25
Percent Risk
Figure 13: Annual Accumulation of GDD Above 5° C at a 10
Percent Risk
Figure 14: Average Annual Accumulation of GDD Above 10° C
Figure 15: Annual Accumulation of GDD Above 10° C at a
25 Percent Risk
Figure 16: Annual Accumulation of GDD Above 10° C at a 10
Percent Risk
Figure 17: Average Annual Accumulation of GDD Above 15° C
Figure 18: Annual Accumulation of GDD Above 15° C at a
25 Percent Risk
Figure 19: Annual Accumulation of GDD Above 15° C at a
10 Percent Risk
Corn Heat Units (Accumulation)
Figure 20: Average Annual Accumulation of Corn Heat Units
Figure 21: Annual Accumulation of Corn Heat Units at a 25
Percent Risk
Figure 22: Annual Accumulation of Corn Heat Units at a 10
Percent Risk
P-Day (Accumulation)
Figure 23: Average Annual Accumulation of P-Days
Figure 24: Annual Accumulation of P-Days at a 25 Percent Risk
Figure 25: Annual Accumulation of P-Days at a 10 Percent Risk
Alfalfa
Figure 26: Average Crop Water Demand to the Second Cut of
Alfalfa (mm)
Figure 27: Average Accumulated Precipitation to the Second
Cut of Alfalfa (mm)
Figure 28: Average Plant Moisture Stress at the First Cut of
Alfalfa (mm)
Figure 29: 25 Percent Risk of Plant Moisture Stress at the
First Cut of Alfalfa (mm)
Figure 30: Average Plant Moisture Stress at the Second Cut of
Alfalfa (mm)
Figure 31: 25 Percent Risk of Plant Moisture Stress at the
Second Cut of Alfalfa (mm)
Spring Wheat
Figure 32: Average Growing Season Crop Water Demand for
Spring Wheat (mm)
Figure 33: Average Growing Season Precipitation for Spring
Wheat (mm)
Figure 34: Lower 25 Percent of Growing Season Precipitation
for Spring Wheat (mm)
Figure 35: Upper 25 Percent of Growing Season Precipitation
for Spring Wheat (mm)
Figure 36: Average Soil Moisture Amounts at Planting for
Spring Wheat (mm)
Figure 37: 25 Percent Risk of Soil Moisture Amounts at
Planting for Spring Wheat (mm)
Figure 38: Average Plant Moisture Stress at Heading for
Spring Wheat (mm)
Figure 39: 25 Percent Risk of Plant Moisture Stress at
Heading for Spring Wheat (mm) Figure 40: Average Plant
Moisture Stress at the Soft Dough Stage of Spring Wheat (mm)
Corn
Figure 41: Average Growing Season Crop Water Demand for
Corn (mm)
Figure 42: Average Growing Season Precipitation for Corn (mm)
Figure 43: Average Plant Moisture Stress at the Grain Stage
of Corn (mm)
The maps presented in this publication should be used with some
caution. Some parts of the map may not be very reliable because they have few weather
stations. For example, next to the Saskatchewan border there are 12 municipalities
Albert, Cameron, Whitewater, Pipestone, Sifton, Glenwood, Oakland, Wallace, Woodworth,
Whitehead, Daly, Archie and Miniota without a single weather station (Figure 1). Values in these areas have been estimated by
interpolation of data from weather stations outside the municipalities. As a result, the
map is not as reliable in this area as it is in areas with a higher weather station
density.
Another important issue is the representativeness of the weather data.
This is particularly important when considering location near lakes or rivers. For
example, the weather station at Great Falls on the Winnipeg River has a higher heat
accumulation than the surrounding area. This is likely the result of a longer frost-free
period recorded at that particular weather station. Although there is no question about
the accuracy of the observations made at the weather station, the data may not be
representative of the surrounding area because the influence of the river on the weather
may extend for only a short distance from the river. As a result, the map probably
overestimates the thermal values for that area.
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