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RI_623

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    30-year Average Dry Day Count is defined as the count of the average number of climate days which received less than 0.5 mm of precipitation during the calendar month. These values are calculated across Canada in 10x10 km cells, and are based on average precipitation amounts over a 30-year period (1961-1990, 1971-2000, 1981-2010, 1991-2020). These values are calculated across Canada in 10x10 km cells.

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    In 1997, a magnitude 4.6 earthquake occurred 3 to 4 km beneath the Strait of Georgia, near Vancouver. This scenario visualizes the effects of that event if it occurred today with a magnitude of 4.9. A magnitude 7.0 Georgia Strait scenario is also provided, and represents a less likely but more consequential case for comparison.

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    Leaf area index (LAI) quantified the density of vegetation irrespective of land cover. LAI quantifies the total foliage surface area per groud surface area. LAI has been identified by the Global Climate Observing System as an essential climate variable required for ecosystem,weather and climate modelling and monitoring. This product consists of annual maps of the maximum LAI during a grownig season (June-July-August) at 100m resolution covering Canada's land mass.

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    This is a magnitude 5.0 earthquake scenario along the Burlington Toronto Structural Zone — a fault near Toronto and its surrounding region. This fault is not known to be active but demonstrates a plausible earthquake scenario for the Toronto region.

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    A magnitude 5.6 rupture scenario near Ottawa along the Gloucester Fault in the south of the city. This fault is not known to be active, but this scenario is representative of seismicity in the Ottawa Valley.

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    Series of Panchromatic orthophotos for 4 reservoir areas, Duncairn, LaFleche, Moosomin, Gouverneur taken in 2005. The photos were meant to coincide at a time when the reservoirs where at high flood supply levels (FSL).

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    This catalog contains annual 30 m spatial resolution snow dynamics metrics for each snow-year from 2018-2019 to 2023-2024 for all of Canada. We gather all Landsat and Sentinel-2 images collected over Canada and identify the status of each pixel observation on the image collection date: snow (and ice), non-snow (i.e., land, water), unclear (i.e., clouds, shadows). We built an algorithm to calculate snow cover metrics for each pixel during each winter: start date of the first (and biggest) snow period [startF, startB], end date of the last (and biggest) snow period [endL, endB], number of days with snow cover in total (or in the biggest snow period) [lengthT, lengthB], number of snow periods (i.e., separated times with multiple confirmed snow observations) [periods], and a status classification (e.g., continuous snow, snow free) [status]. We do not obtain a clear observation every day because of satellite orbit frequencies and clouds. This means that timing-based metrics are identified by the middle date between two clear observations, with uncertainty quantified as half the length of the gap (i.e., ± days) [startF_u, startB_u, endL_u, endB_u, lengthT_u, lengthB_u].

  • An archive of 2D regional seismic and long period magnetotelluric data collected during 20 years of work under the LITHOPROBE project. Data are primarily onshore and cover widespread regions of Canada. Available data types include raw digital data, processed sections, and images of final sections, as well as auxiliary information required for analysis of the data.

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    First Fall Frost (-4 °C) is defined as the average day, during the second half of the year, of the first occurrence of a minimum temperature at or below -4 °C. These values are calculated across Canada in 10x10 km cells.

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    Wildlife habitat capacity is the extent and quality of habitat that can support a diversity of species. When we convert wilderness to agricultural land we lose a great deal of wildlife habitat capacity. However, we can manage agricultural land to regain some of this capacity. Agricultural land includes not only fields for food production but also other types of land cover. Wooded areas, wetlands, shoreline areas and natural pastures on agricultural land are important habitats for wildlife. The indicator shows how well wildlife habitat is maintained for feeding and reproduction while producing the food we need. Products in this data series present results for predefined areas as defined by the Soil Landscapes of Canada (SLC v.3.2) data series, uniquely identified by SOIL_LANDSCAPE_ID values. Data is provided for the following years: 2000, 2005, 2010, 2015 and 2020. The annual results respect provincial boundaries which can be of use when analyzing results per province.