This dataset includes daily averages of solar irradiance on tilted surfaces for all of Canada based on the period of 1998 - 2022.Daily averages of solar irradiance are displayed on both a monthly and annual basis for ten different tilt and tracking methods relative to the ground (horizontal) and latitude of the location. The daily averages were derived from multi-year satellite-derived solar resource datasets at an hourly temporal resolution and gridded geospatial resolution of approximately 10 km by 10 km.The data can be used to further assess the potential of solar energy technologies in Canada, including solar photovoltaics (PV) for electricity and solar thermal for domestic hot water and space heating. Maps of solar resource potential in Canada – Data Format The data stored in these files includes the daily-average insolation on tilted surfaces in units of kW·hr/m² for a given period. Each band represents period, numbered in order: band 1 = Annual, band 2 = January, band 3 = February, ..., band 13 = December.The period of averaging is the year 1998-2022, inclusive.Four fixed tilted surfaces of 0° (horizontal), 30°, 60°, and 90° (vertical) relative to the horizontal plane:- fixed tilted surfaces of 0° (vertical) relative to the horizontal plane (H+ 00 S+00)- fixed tilted surfaces of 30° (vertical) relative to the horizontal plane (H+ 30 S+00)- fixed tilted surfaces of 60° (vertical) relative to the horizontal plane (H+ 60 S+00)- fixed tilted surfaces of 90° (vertical) relative to the horizontal plan (H+ 90 S+00)Three fixed tilted surfaces of 0°, +15°, and -15°, relative to the local latitude:- fixed tilted surfaces of 0° relative to the local latitude (L+00 S+00)- fixed tilted surfaces of +15°, relative to the local latitude (L+00 S+00)- fixed tilted surfaces of -15°, relative to the local latitude (L+00 S+00)- A two-axis tracking surface that follows the sun throughout the day (T+00 T+00)- A single-axis tracking surface with the axis aligned north-south, tracking the sun east to west (A+00_S+90)- A single-axis tracking surface with the axis aligned east-west, tracking the sun's elevation (A+00_S+00)

This dataset contains the outputs for Bute Inlet from two simulations shown in the publication "Fjord circulation permits persistent subsurface water mass in a long, deep mid-latitude inlet" by Laura Bianucci et al., DFO Ocean Sciences Division, Pacific Region (published in the journal Ocean Science in 2024). The Finite Volume Community Ocean Model (FVCOM v4.1) was run with two different sets of initial conditions for the Discovery Islands region of British Columbia, Canada, from May 24 to June 27, 2019. The "Baseline" simulation used observed initial conditions, while the "Sensitivity" simulation removed the observed cold subsurface water mass from the initial profiles. Here in this dataset, we provide 29-day averages of the following variables in a transect along Bute Inlet: potential temperature, density, along-inlet velocity, and Brunt-Väisälä frequency (N^2). The averaging properly removes the tidal effects.

This dataset contains the modelled and observed data used in the publication "Fjord circulation permits persistent subsurface water mass in a long, deep mid-latitude inlet" by Laura Bianucci et al., DFO Ocean Sciences Division, Pacific Region (published in the journal Ocean Science in 2024). An application of the Finite Volume Community Ocean Model (FVCOM v4.1) was run from May 24 to June 27, 2019 in the Discovery Islands region of British Columbia, Canada. Observed temperature and salinity profiles available in this area during this time period are included in the dataset, along with the modelled values at the same times and locations.

The monthly mean is the average of daily mean values for a given month.

Mean Temperature Difference From Normal values are computed by subtracting the normal monthly average temperature from the average monthly temperature of the month. The average monthly temperature is computed by obtaining the mean value of average daily temperatures for a month. If the month was colder than normal the value computed will be negative and if it was warmer the value will be positive.

The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions.

The daily mean is the average of all unit values for a given day.

This information is used  to manage oil and gas rights on offshore Crown lands in Ontario. A grid system of blocks and tracts is used to divide the area. 1 block =  5 minute longitude by 5 minute latitude numbered area. 1 tract =  1 minute longitude by 1 minute latitude area, assigned by letters . 1 block contains 25 tracts. This product requires the use of geographic information system (GIS) software.

Data includes the locations of the 4 Youth Justice regional offices in the province. Details include: * region * street address * building (if applicable) * city * postal code * latitude * longitude

Percent of Average Precipitation represents the accumulation of precipitation for a location, divided by the long term average value. The long term average value is defined as the average amount over the 1981 – 2010 period. Products are produced for the following timeframes: Agricultural Year, Growing Season, Winter Season, as well as rolling products for 30, 60, 90, 180, 270, 365, 730, 1095, 1460 and 1825 days.