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We have found 4,086 datasets for the keyword "meteorological service of canada". You can continue exploring the search results in the list below.
Datasets: 103,466
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4,086 Datasets, Page 1 of 409
Long Term Climate Extremes, Daily Extremes of Records – Temperature
Anomalous weather resulting in Temperature and Precipitation extremes occurs almost every day somewhere in Canada. For the purpose of identifying and tabulating daily extremes of record for temperature, precipitation and snowfall, the Meteorological Service of Canada has threaded or put together data from closely related stations to compile a long time series of data for about 750 locations in Canada to monitor for record-breaking weather. Virtual Climate stations correspond with the city pages of weather.gc.ca. This data provides the daily extremes of record for Temperature for each day of the year. Daily elements include: High Maximum, Low Maximum, High Minimum, Low Minimum.
Canadian Weather Year for Energy Calculation (CWEC)
644 datasets of Typical Meteorological Years (TMY) created by joining twelve Typical Meteorological Months selected from a database of up to 20 years of CWEEDS hourly data. The months are chosen by statistically comparing individual monthly means with long-term monthly means for daily total global solar irradiance, mean, minimum and maximum dry bulb temperature, mean, minimum and maximum dew point temperature, and mean and maximum wind speed. These hourly datasets are used by the engineering and scientific community mainly as inputs for solar system design and analysis and building energy systems analysis tools. This dataset has been updated with the most recent changes made in March 2023. The solar values in these files are based on 0.1° x 0.1° (11 km x 11 km grid) for all of Canada. Refer to Data Resources below for additional information on the TMY file format.
Canadian Weather Energy and Engineering Datasets (CWEEDS)
644 datasets of hourly meteorological data for all of Canada from various periods (1998 to 2020). The values of the records for solar irradiance are primarily based on satellite-derived solar estimates. This dataset has been updated with the most recent changes made in March 2023. The solar values in these files are based on 0.1° x 0.1° (11 km x 11 km grid) for all of Canada. Refer to Data Resources below for additional information on the CWEEDS file format and revision history.
Canadian Gridded Temperature and Precipitation Anomalies (CANGRD)
CANGRD is a set of Canadian gridded annual, seasonal, and monthly temperature and precipitation anomalies, which were interpolated from stations in the Adjusted and Homogenized Canadian Climate Data (AHCCD); it is used to produce the Climate Trends and Variations Bulletin (CTVB).
Canadian Gridded Temperature Anomalies
Gridded monthly, seasonal and annual mean temperature anomalies derived from daily minimum, maximum and mean surface air temperatures (degrees Celsius) is available at a 50km resolution across Canada. The Canadian gridded data (CANGRD) are interpolated from homogenized temperature (i.e., AHCCD datasets). Homogenized temperatures incorporate adjustments to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. The anomalies are the difference between the temperature for a given year or season and a baseline value (defined as the average over 1961-1990 as the reference period). The yearly and seasonal temperature anomalies were computed for the years 1948 to 2017. The data will continue to be updated every year.
Trend of Mean Temperature for 1948-2016 based on Canadian gridded data
Seasonal and annual trends of mean surface air temperature change (degrees Celsius) for 1948-2016 based on Canadian gridded data (CANGRD) are available at a 50km resolution across Canada. Temperature trends represent the departure from a mean reference period (1961-1990). CANGRD data are interpolated from adjusted and homogenized climate station data (i.e., AHCCD datasets). Homogenized climate data incorporate adjustments to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation.
Pan-Canadian Wind Integration Study: Maximum temperature at 100 m
The maximum temperature layer shows the modeled maximum temperature [°C] at a height of 100 m above ground level, at each grid point, over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 1.5 °C each. Further details including data for individual years can be obtained by clicking on the dot representing the grid point location.
Pan-Canadian Wind Integration Study: Minimum temperature at 100 m
The minimum temperature layer shows the modeled minimum temperature [°C] at a height of 100 m above ground level, at each grid point, over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 1.5 °C each. Further details including data for individual years can be obtained by clicking on the dot representing the grid point location.
HOT2000 Climate Map
The HOT2000 software contains monthly and annual climate data for 403 locations in Canada. Boundary lines for HOT2000 climate zones were defined through spatial interpolation of the annual Celsius heating degree-days for each weather station. In a number of instances, the positions of boundary lines may not be representative of the local climate conditions due to lack of appropriate climate data. Each HOT2000 climate zone contains one weather station to be used for all locations within the zone. Climate data represent 20-year averaged data from 1998 to 2017 for locations south of 58° latitude and 13-year averaged data from 2005 to 2017 for locations north of 58° latitude. Note that Whistler, BC uses 13 years of data.The following information is available in the climate map:o Location: the name of the weather station.o Region: the provincial or territorial location of the weather station.o Latitude: measured in degrees north of the equator.o Annual heating degree-days using a base of 18 °C.o Design heating dry bulb temperature (°C): the 2.5% January design temperature used to calculate the design heat loss for the house.o Design cooling dry bulb temperature (°C): the 2.5% July design temperature used to calculate the design cooling load for the house.o Design cooling wet bulb temperature (°C): the 2.5% July design temperature used to calculate the design cooling load for the house.The climate map is intended to be used by all users of the HOT2000 software under the EnerGuide Rating System, including energy advisors, service organizations, regulatory agencies, builders, utilities, and all levels of government.The weather locations and climate data are based on Environment and Climate Change Canada data, specifically the Canadian Weather Energy and Engineering Datasets (CWEEDS).
River Ice in Canada - Current Year
River ice roughness products from the current calendar year in selected Canadian regions that have been designated for observation, monitored by Natural Resources Canada using satellite imagery for emergency response. Coverage is not comprehensive nationwide. In order to mitigate ice jam induced floods risks, Natural Resources Canada emergency geomatics service (EGS) may be activated by Canada’s emergency management authorities. As new satellite imagery becomes available, NRCan will produce river ice roughness maps and update the dataset in near real time (4 hours). This item contains record of the river ice roughness products generated in the current year. For the complete archive, please refer to the [River Ice in Canada - Archive](https://open.canada.ca/data/en/dataset/5e6b40bf-299f-4e05-87c8-d10b9c8210f9) entry.The river ice product is generated and validated on a best effort basis. Various factors may affect the quality of the river ice roughness maps. Those factors include but are not limited to: environmental condition at the time of acquisition, image resolution or the limitations of the methodology used. To view a specific product, filter the data by date (UTC Date) and area of interest (AOI). Links to download specific EGS product are available in the Resources section.Disclaimer:Emergency response authorities are the primary users of these satellite-derived river ice roughness map products. These products are generated to provide analysis and emergency response situational awareness and to facilitate decision-making during major flood events. The river ice roughness products are generated rapidly and limited time is available for editing and validation. The river ice roughness products reflect the river ice surface roughness conditions at the date/time of acquisition. While efforts are made to produce high quality products, near-real time products may contain errors due to the limited time available for validation and the limited availability of ground truthing data.Limitation of Liability:Accordingly, the information contained on this website is provided on an “as is” basis and Natural Resources Canada makes no representations or warranties respecting the information, either expressed or implied, arising by law or otherwise, including but not limited to, effectiveness, completeness, accuracy or fitness for a particular purpose. Natural Resources Canada does not assume any liability in respect of any damage or loss based on the use of this website. In no event shall Natural Resources Canada be liable in any way for any direct, indirect, special, incidental, consequential, or other damages based on any use of this website or any other website to which this site is linked, including, without limitation, any lost profits or revenue or business interruption.Parent Collection:- **[River Ice State in Canada - Cartographic Product Collection](https://open.canada.ca/data/en/dataset/d1fcb44f-5f86-4957-bdb4-e6fd1aa69283)**
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