Why is it important for Canada to have a good reliable weather forecast?
Canada is home to the world’s northernmost settlement, Canadian Forces Station Alert, on the northern tip ofย Ellesmereย Islandย โ latitude 82.5ยฐN โ which lies 817 kilometres (508ย mi) from the North Pole.ย Much of the Canadian Arctic is covered by ice and permafrost. Canada has the longest coastline in the world, with a total length of 243,042 kilometres (151,019ย mi);ย additionally, its border with the United States is the world’s longest land border, stretching 8,891 kilometres (5,525ย mi).
Canada hasย hostedย three Olympic games:the 1976 Summer Olympics in Montreal, the 1988 Winter Olympics in Calgary, and the 2010 Winter Olympics in Vancouver.ย The World’s longest trail, Theย Great trail, also goes through Canada.
โOur weather ranges from heavy snowfall, freezing rain or bitterly cold temperatures to heat waves, thunderstorms or tornadoes. Coming from Nunavut, I know from personal experience that a clear day can turn into a blizzard in minutes.โ
–Canada’s environment minister
Eight climate zones cover Canada:
There is no doubt Canada should have an accurate weather forecast system.
Some history:ย
The climate and weather of Canada has not always been the same as it is now. Geological science is witness that at various times what is now Canada has been submerged under ice. On the other hand, there is evidence that about the year 1000 A.D. the climate of Canada may have been warmer than it is today;
Approximately 700 observing stations have been established, a number of them in the far north; and the records of these stations are published in the Monthly Record of the Meteorological Service of Canada. This periodical, which began, as a two-page issue in 1877, is now a volume of nearly 100 pages. Weather forecasts are now issued twice daily; special warnings of expected gales are telegraphed to agents at more than 100 ports, so that storm signals may be displayed; and special notice is telegraphed to the railways when snowstorms are expected.
— W. Stewart WALLACE, ed., The Encyclopedia of Canada, Vol. IV, Toronto, University Associates of Canada, 1948, 400p., p. 278.
Whatย weather system does Canada haveย now?
Theย Meteorological Service of Canadaย (MSC) is a division ofย Environment and Climate Change Canada, which primarily provides publicย meteorologicalย information andย weather forecastsย and warnings of severe weather and other environmental hazards. MSC also monitors and conducts research onย climate,ย atmospheric science,ย air quality, water quantities, ice and otherย environmental issues. MSC operates a network of radio stations throughout Canada transmitting weather and environmental information 24 hours per day calledย Weatheradio Canada.
Environment and Climate Change Canada, founded in 1971, is the departmentย of the Government of Canada.ย Its responsibility is toย coordinate environmental policies and programs and preserve and enhance the natural environment and renewable resources.ย
ECโs monitoring infrastructure includes 31 weather radars, 84 lightning detection sensors, 125 fixed buoys and automatic marine stations installed on ships, 31 stations for launching balloon-borne observations of the upper atmosphere, satellite data, and about 1,200 surface weather and climate stations.
Here are the major forecast modelsย used by weather services:
- Global Forecast System (GFS)
- Integrated Forecast System (IFS)
- The Global Environmental Multiscale Model (GEM)
- Mesoscale models.
- Ensemble Forecasts
The Global Forecast System (GFS) is a global numerical weather prediction computer model run by NOAA. The model has two parts which run for eight days (high resolution) and 16 days (low-resolution).
The Integrated Forecast System (IFS), an operational global meteorological forecasting model, is developed and maintained by the European Centre for Medium-Range Weather Forecasts (ECMWF) based in Reading, England.
The Global Environmental Multiscale Model (GEM) is integrated forecasting and data assimilation system developed in the Recherche en Prรฉvision Numรฉrique (RPN), Meteorological Research Branch (MRB), and the Canadian Meteorological Centre (CMC).ย Itย has been developed to meet all of Canada’s current and foreseeable operational weather-forecasting needs for the coming years.
What differentiates these models from each other, and how good is their forecast?
There are four types of models: grid point, spectral, hydrostatic, and non-hydrostatic.ย All models use primitive equations to predict the weather. This isย a set of nonlinearย differential equationsย that are used to approximate globalย atmospheric flowย and are used in mostย atmospheric models:
There are three main laws behind them:
- Continuum equation (conservation of mass), whichย describes the transport of some quantity.
- Conservation of momentum
- Conservation of energy
Forcesย that cause atmospheric motion include theย pressure gradientย force,ย gravity, andย viscousย friction. So, most forecasts of surface conditions, such as temperature and precipitation, are generated by computer models which assimilate surface pressure and upper-air height data with tropospheric temperature, moisture, and wind conditions. The present limit of deterministic weather predictability is a few weeks at most. The major limiting factors are incomplete knowledge of the atmosphereโs initial state and imperfect understanding of atmospheric processes. The first factor is most important at short lead times, while modeling errors become the dominant limitation in longer forecasts.
An assessment by the American Meteorological Society attributed considerable skill to short-range (12ยฑ 72 hours) forecasts, with skill decreasing in the medium range (3ยฑ 7 days) from good at 3 days to marginal at 7, with, in some cases, measurable skill persisting out to 10 days.
Forecast skill is determined as follows, where the perfect forecast is equal to one:
Another measure of the model forecast is “anomaly correlation,” a measure of its ability to accurately predict observations (a score of 1 is perfect). For the northern hemisphere during the last two months, as measured at the 500mb level of the atmosphere (about 5.5km above the Earth’s surface), the European model scores the highest by far, at .905. It’s followed by the United Kingdom’s model (.870), the Canadian model (.868), and finally the GFS (.857).
By anomaly correlation score, the Canadian global model takes third place after ECMWF ย and UKM.
Hereย are some interesting thoughts on model forecast accuracy.
The other factors affecting the model’s accuracy are initialization data, bugs and model biases, and computer power.
According toย CBC News, in December 2015, Environment Canada got a new supercomputer. So more accurate forecasts shouldย help people prepare for emergencies and boost the Canadian economy by providing everyone from farmers and fishermen to truck drivers and emergency workers with more reliable information.
Overall Canadian weather service providesย quite a good and reliableย weatherย forecast.ย You can view the radar dataย here.
According to Weather, vol.57, 2002:
Short- and medium-range forecasts of minimum and maximum temperature issued by the MSC show skill even out to five days in some cases. Skills are highest for maximum temperatures and for sites in the interior of the country where scores above 60% were noted. The coastal stations have lower forecast errors than inland sites but, because of much lower temperature variability, their skill scores are the lowest in the country, and are almost negligible at Vancouver after 2ยฑ3 days. Precipitation forecasts of dry weather are generally more successful than those of wet weather, achieving 100% accuracy for Days 1 and 2 at Vancouver. This compares to about 40% for wet weather at Banff. Only the most continental sites (Kapuskasing and Saskatoon) show variations in accuracy with lead time.
just a note. having lived in canada (ontario) now for a couple of years, the candian forecast system is horrible. they cant even predict weather 12 hours out! seriously, we are inland some 2000 miles and we can see whats coming days in advance, but the forecast models here stink. from 2 weeks to 12 hours out the forecast changes insanely every 12 hours. today’s example is: we were forecast to get 25mm of rain ad it was supposed to be 23 degrees today. Even last night it was at 100% confidence, the new forecast updated 3 hours ago now gives us a high of 15 degrees (C) and 0% chance of rain! THIS HAPPENS NEARLY EVERY FREAKING DAY! It rained nearly every day last week yet the forecast called for 30 degrees and sunny! how can any scientist claim to predict global warming when they dont know what is going to happen 6 hours from now??? I wish NOAA would do forecasts for canada…