Canadian Gridded Homogenized Surface Air Temperature (CanGridT V4)
These gridded daily maximum, minimum, and mean temperature datasets (CanGridT dlyV4), as well as their monthly means (CanGridT mlyV4), were generated by interpolating the fourth generation of homogenized daily and monthly surface air temperature data (named CanHomT V4 and also available on this portal; Wan et al., 2025) onto a 10-km EASE grid using a kriging-based gridding scheme (Abbasnezhadi and Wang, 2024; Cheng, 2025). Ordinary kriging was used to grid the stations’ 1961-1990 climatology and temperature anomalies separately. This approach ensures that the resulting gridded dataset contains both temperature values and anomalies, with the temperature values obtained by adding the climatology and anomalies at each grid point. Monthly gridded data are available starting from 1948, and daily data from 1949. These version 4 datasets succeed CanGridT mlyV3.1 and CanGridT dlyV3.1, also available on this portal. Please refer to the README file for instructions on how to read the gridded products.
References:
Abbasnezhadi, K. and X. L. Wang, 2024: Comparison of gridding methods for precipitation over Canada and assessment of station/data density effects on gridding results. Atmos.-Ocean, 62:4, 320-346, https://doi.org/10.1080/07055900.2024.2394829.
Cheng, V. Y. S.,2025: RCanGrid user manual. Climate Research Division, Atmospheric Science and Technology Directorate, Science and Technology Branch, Environment Canada. In Preparation.
Wan, H., A. C., Spassiani & L. A. Vincent, 2025: Canada’s fourth generation of homogenized surface air temperature and its trends for 1948-2023. Atmosphere-Ocean, DOI: 10.1080/07055900.2025.2516796
Datasets available for download
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CanGridTmax_mlyV4_GA_1948_2024ZIP
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CanGridTmax_mlyV4_GNGA_1948_2024ZIP
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CanGridTmean_mlyV4_GA_1948_2024ZIP
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CanGridTmean_mlyV4_GNGA_1948_2024ZIP
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CanGridTmin_mlyV4_GA_1948_2024ZIP
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CanGridTmin_mlyV4_GNGA_1948_2024ZIP
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CanGridTmax_dlyV4_GNGA_1949_1979ZIP
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CanGridTmax_dlyV4_GNGA_1980_2000ZIP
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CanGridTmax_dlyV4_GNGA_2001_2024ZIP
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CanGridTmean_dlyV4_GNGA_1949_1979ZIP
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CanGridTmean_dlyV4_GNGA_1980_2000ZIP
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CanGridTmean_dlyV4_GNGA_2001_2024ZIP
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CanGridTmin_dlyV4_GNGA_1949_1979ZIP
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CanGridTmin_dlyV4_GNGA_1980_2000ZIP
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CanGridTmin_dlyV4_GNGA_2001_2024ZIP
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README_CanGridTV4_ENDOCX
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README_CanGridTV4_FRDOCX
Additional Info
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| Last Updated | October 20, 2025, 02:25 (UTC) |
| Created | October 20, 2025, 02:25 (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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Canadian Gridded Homogenized Surface Air Temperature (CanGridT V4) |
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Description
A description of the dataset.
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These gridded daily maximum, minimum, and mean temperature datasets (CanGridT dlyV4), as well as their monthly means (CanGridT mlyV4), were generated by interpolating the fourth generation of homogenized daily and monthly surface air temperature data (named CanHomT V4 and also available on this portal; Wan et al., 2025) onto a 10-km EASE grid using a kriging-based gridding scheme (Abbasnezhadi and Wang, 2024; Cheng, 2025). Ordinary kriging was used to grid the stations’ 1961-1990 climatology and temperature anomalies separately. This approach ensures that the resulting gridded dataset contains both temperature values and anomalies, with the temperature values obtained by adding the climatology and anomalies at each grid point. Monthly gridded data are available starting from 1948, and daily data from 1949. These version 4 datasets succeed CanGridT mlyV3.1 and CanGridT dlyV3.1, also available on this portal. Please refer to the README file for instructions on how to read the gridded products. References: Abbasnezhadi, K. and X. L. Wang, 2024: Comparison of gridding methods for precipitation over Canada and assessment of station/data density effects on gridding results. Atmos.-Ocean, 62:4, 320-346, https://doi.org/10.1080/07055900.2024.2394829. Cheng, V. Y. S.,2025: RCanGrid user manual. Climate Research Division, Atmospheric Science and Technology Directorate, Science and Technology Branch, Environment Canada. In Preparation. Wan, H., A. C., Spassiani & L. A. Vincent, 2025: Canada’s fourth generation of homogenized surface air temperature and its trends for 1948-2023. Atmosphere-Ocean, DOI: 10.1080/07055900.2025.2516796 |
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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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2025-06-12 |
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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/a2bd8fa3-353c-4f5f-b78c-da94e64b1814 |
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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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Environment and Climate Change Canada | Environnement et Changement climatique Canada |
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Contact Point
Who to contact regarding access?
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Government of Canada; Environment and Climate Change Canada; Climate Research Division, [email protected] |
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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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