Snowpack - Wapusk National Park
Wapusk National Park is a sub-Arctic protected area covered with snow for over half of the year. Snowpack characteristics can provide important clues to impacts of climate change and park ecological integrity. Snow cover duration and characteristics affect soil and plant and animal components of the ecosystem. Current predictions for Wapusk are that with warming temperatures, snow in the Hudson Bay region will increase in amount but will stay for a shorter duration. This could potentially accelerate the rate of permafrost degradation. By insulating against heat loss, snow can affect the soil nutrient cycling and plant production. Snow-Water Equivalent (SWE) values are an important gauge of snow impacts on the ecosystem and on permafrost and are used to monitor park ecological integrity. SWE values for Wapusk are based on mid-winter snowpack conditions measured annually. Field measurements also include snowpack depth, density, and hardness using Adirondack snow core and RAM penetrometer equipment. Additionally, weather station sensors measure snow depth, rain, wind speed, wind direction, air temperature, air relative humidity, near surface soil and permafrost temperature. Snowpack monitoring in Wapusk is an on-going long-term partnership between Wapusk National Park, Dr. Steve Mamet at University of Saskatchewan and the Churchill Northern Studies Centre (CNSC). In phase 1, SWE values are published here. In a later phase, other snowpack and microclimate variables will also be published.
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Additional Info
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| Last Updated | October 20, 2025, 02:51 (UTC) |
| Created | October 20, 2025, 02:51 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Snowpack - Wapusk National Park |
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Description
A description of the dataset.
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Wapusk National Park is a sub-Arctic protected area covered with snow for over half of the year. Snowpack characteristics can provide important clues to impacts of climate change and park ecological integrity. Snow cover duration and characteristics affect soil and plant and animal components of the ecosystem. Current predictions for Wapusk are that with warming temperatures, snow in the Hudson Bay region will increase in amount but will stay for a shorter duration. This could potentially accelerate the rate of permafrost degradation. By insulating against heat loss, snow can affect the soil nutrient cycling and plant production. Snow-Water Equivalent (SWE) values are an important gauge of snow impacts on the ecosystem and on permafrost and are used to monitor park ecological integrity. SWE values for Wapusk are based on mid-winter snowpack conditions measured annually. Field measurements also include snowpack depth, density, and hardness using Adirondack snow core and RAM penetrometer equipment. Additionally, weather station sensors measure snow depth, rain, wind speed, wind direction, air temperature, air relative humidity, near surface soil and permafrost temperature. Snowpack monitoring in Wapusk is an on-going long-term partnership between Wapusk National Park, Dr. Steve Mamet at University of Saskatchewan and the Churchill Northern Studies Centre (CNSC). In phase 1, SWE values are published here. In a later phase, other snowpack and microclimate variables will also be published. |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2017-10-01 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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Open Government Licence - Canada |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://open.canada.ca/data/en/dataset/f140e1d0-ed60-4818-85d6-f02fcb69fda1 |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Parks Canada | Parcs Canada |
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Contact Point
Who to contact regarding access?
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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[email protected] |
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Author
Author of the dataset.
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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