{"title":"A standardized permafrost ground temperature collection for Canada 2025","authors":"Olivia Meier-Legault,Nicholas Brown,Larry Adjun,Michel Allard,Alejandro Alvarez,Maude Auclair,Alex Bevington,Samuel Bilodeau,William Cable,Olivia Carpino,Ariane Castagner,Lin Chen,Alexandre Chiasson,Ryan Connon,Stephanie Coulombe,Jeffrey Crompton,Derek Cronmiller,Gautier Davesne,Mason Dominico,Marc-André Ducharme,Timothy Ensom,Louise Farquharson,Vanessa Foord,Daniel Fortier,Philippe Fortier,Duane Froese,Samuel Gagnon,Francis Gauthier,Marten Geertsema,Etienne Godin,Galina Jonat,Steven V. Kokelj,Michelle Landry,Antoni Lewkowicz,Panya Lipovsky,Emmanuel L'Hérault,Hannah Macdonell,Lancelot Massé,Dmitry Nicolsky,Moya Painter,Leesee Papatsie,Victor Pozsgay,William Quinton,Vladimir Romanovsky,Ashley C. A. Rudy,Denis Sarrazin,Emilie Stewart-Jones,Donald Walker,Thomas Wright,Joseph Young,Stephan Gruber","doi":"10.5194/essd-18-7515-2026","DOIUrl":null,"url":null,"abstract":"Ground temperature (GT) is an essential variable for monitoring the thermal state of permafrost, developing models, and conducting fundamental research. However, the usability of GT data in Canada is often hampered by inconsistent file formats, a lack of metadata standardization between organizations, and varied temporal resolutions. This fragmentation has prevented the development of a comprehensive benchmark dataset, leaving researchers reliant on small, ad-hoc data subsets for model evaluation. To address this gap, we present a new, standardized collection of GT and ground surface temperature (GST) data from across Canada, designed to serve as a benchmark for synthesis and model evaluation. The collection integrates data from 29 published datasets and 13 unpublished contributions, encompassing 427 GT and 491 GST sites across British Columbia, Labrador, Northwest Territories, Nunavut, Québec, and Yukon. The dataset includes records from 1960 through 2025 and observations range in depth from 0 to 300 m. The longest individual time series comprises 34 consecutive years of daily data with no more than 10 % missing data per year. On average for all sites and depths, this value is 6 years. All included time series feature at least one year of measurements at daily resolution. We performed quality control and standardization using tempcf – a newly-developed python software tool – to document and remove anomalies, outliers, and drilling disturbances. Then we aggregated sub-daily data to daily means. The dataset is standardized into NetCDF files adhering to CF, ACDD, and IOOS metadata standards as well as a compatible permafrost-specific metadata profile. Data are provided as both individual NetCDF files and text files. They are fully accessible at https://doi.org/10.5281/zenodo.18022924 (version 0.9.1) (Meier-Legault et al., 2025) and via an ERDDAP server (https://data.permafrostnet.ca/erddap, last access: 21 July 2026), following FAIR principles. Several limitations remain, including time zone uncertainty in some datasets, and the lack of a standardized methodology for harmonizing site description metadata. Nevertheless, this collection improves the accessibility and usability of Canadian ground temperature data for national-scale permafrost research.","PeriodicalId":48747,"journal":{"name":"Earth System Science Data","volume":"64 1","pages":"7515-7534"},"PeriodicalIF":13.6000,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth System Science Data","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/essd-18-7515-2026","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Ground temperature (GT) is an essential variable for monitoring the thermal state of permafrost, developing models, and conducting fundamental research. However, the usability of GT data in Canada is often hampered by inconsistent file formats, a lack of metadata standardization between organizations, and varied temporal resolutions. This fragmentation has prevented the development of a comprehensive benchmark dataset, leaving researchers reliant on small, ad-hoc data subsets for model evaluation. To address this gap, we present a new, standardized collection of GT and ground surface temperature (GST) data from across Canada, designed to serve as a benchmark for synthesis and model evaluation. The collection integrates data from 29 published datasets and 13 unpublished contributions, encompassing 427 GT and 491 GST sites across British Columbia, Labrador, Northwest Territories, Nunavut, Québec, and Yukon. The dataset includes records from 1960 through 2025 and observations range in depth from 0 to 300 m. The longest individual time series comprises 34 consecutive years of daily data with no more than 10 % missing data per year. On average for all sites and depths, this value is 6 years. All included time series feature at least one year of measurements at daily resolution. We performed quality control and standardization using tempcf – a newly-developed python software tool – to document and remove anomalies, outliers, and drilling disturbances. Then we aggregated sub-daily data to daily means. The dataset is standardized into NetCDF files adhering to CF, ACDD, and IOOS metadata standards as well as a compatible permafrost-specific metadata profile. Data are provided as both individual NetCDF files and text files. They are fully accessible at https://doi.org/10.5281/zenodo.18022924 (version 0.9.1) (Meier-Legault et al., 2025) and via an ERDDAP server (https://data.permafrostnet.ca/erddap, last access: 21 July 2026), following FAIR principles. Several limitations remain, including time zone uncertainty in some datasets, and the lack of a standardized methodology for harmonizing site description metadata. Nevertheless, this collection improves the accessibility and usability of Canadian ground temperature data for national-scale permafrost research.
Earth System Science DataGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍:
Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.