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Weather and Climate

144 record(s)
 
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    The dataset contains the blended (gauge and satellite estimates) monthly mean precipitation rates (unit: mm/day) for Canada for the period from January 1979 to December 2007, at a half degree spatial resolution. Please refer to the paper below for the details of the blending algorithm and input gauge and satellite data. Reference: Lin, A. and X. L. Wang, 2011: An algorithm for Blending Multiple Satellite Precipitation Estimates with in-situ Precipitation Measurements in Canada. JGR-Atmospheres, 116, D21111, doi:10.1029/2011JD016359.

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    This daily forecast describes the ice edge using latitude and longitude coordinates, the total ice concentration, the predominant ice stage of development and the concentration of the oldest ice type. Warnings are issued as appropriate. The forecasts are valid from the time of issue until the end of the following day (so for a period of 24 to 48 hours).

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    These ice charts illustrate ice conditions at a particular moment in time. The ice information is presented using a standard international code, known as the Egg Code. The following charts are available from the Canadian Ice Service: -Daily Ice Charts -Image Analysis Ice Charts -Regional Ice Charts

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    The Canadian Ice Service maintains a collection of Daily ice charts, Regional ice charts and Iceberg charts. These charts are available in GIF format and E00 (Regional Charts only).

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    This daily forecast describes the ice edge using latitude and longitude coordinates, the total ice concentration, the predominant ice stage of development and the concentration of the oldest ice type. Warnings are issued as appropriate. The forecasts are valid from the time of issue until the end of the following day (so for a period of 24 to 48 hours).

  • Categories  

    This daily forecast describes the ice edge using latitude and longitude coordinates, the total ice concentration, the predominant ice stage of development and the concentration of the oldest ice type. Warnings are issued as appropriate. The forecasts are valid from the time of issue until the end of the following day (so for a period of 24 to 48 hours).

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    This dataset contains blended (gauge and satellite estimates) pentad mean precipitation rates (unit: mm/day) at a one degree spatial resolution over Canada. The data can be used for hydrometeorological, agricultural, forestry modelling, for numerical weather model and climate model verification, and for climate impact studies.

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    Meteorological Observations describe datasets that contain information aboutweather and climate conditions as available on the City-Pages of the Environment Canada WeatherOffice.gc.ca web site. These pages contain information about current weather conditions and past climate including temperature, wind, and humidity measurements, written descriptions of current conditions, rain and snow amounts, average and extreme temperatures, etc. The current conditions are acquired from a variety of observing system operators and are provided in near-real time with limited quality assurance. Current condition information should not be considered as quality-controlled official values. The availability of values for every observation period is not guaranteed as they may be affected by observing system operations.

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    The data consists of temperature indices based on homogenized daily maximum and minimum temperatures at 338 locations across Canada, and of precipitation indices based on adjusted daily rainfall, daily snowfall and daily precipitation amounts at 463 locations across the country. These indices were selected for their relevance to social and economic impact assessment in Canada and for the insights they could provide regarding changes in extreme climate conditions. Please refer to the papers below for detailed information regarding the adjustment procedures and the trends in the indices.

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    The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global on a native Yin-Yang grid at 15 km horizontal resolution. Data is available for 33 vertical levels and interpolated on a global latitude-longitude uniform grid with 0.2 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.