A standardized permafrost ground temperature collection for Canada 2025

IF 13.6 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
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
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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 The collection integrates data from 29 published datasets and 13 unpublished contributions, encompassing 427 GT and 491 GST sites across British Columbia, Labrador, Northwest Territories, Nunavut, Québec, and Yukon.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.
加拿大2025年的标准化冻土地面温度收集
地温是冻土热状态监测、模型开发和基础研究的重要变量。然而,加拿大GT数据的可用性经常受到不一致的文件格式、组织之间缺乏元数据标准化以及不同时间分辨率的阻碍。这种碎片化阻碍了综合基准数据集的开发,使研究人员依赖于小的、特别的数据子集来进行模型评估。为了解决这一差距,我们提出了一个新的、标准化的来自加拿大各地的GT和地面温度(GST)数据集合,旨在作为综合和模型评估的基准。该数据集整合了来自29个已发表数据集和13个未发表的贡献数据,包括不列颠哥伦比亚省、拉布拉多省、西北地区、努纳武特省、quunavut省和育空地区的427个GT和491个GST站点。该数据集包括1960年至2025年的记录,观测深度从0到300米。最长的单个时间序列包括连续34年的每日数据,每年丢失的数据不超过10%。所有地点和深度的平均值为6年。所有包括的时间序列都以每日分辨率至少一年的测量为特征。我们使用tempcf(一种新开发的python软件工具)进行了质量控制和标准化,以记录和消除异常、异常值和钻井干扰。然后我们将次日数据汇总为日均值。数据集被标准化为NetCDF文件,遵循CF、ACDD和IOOS元数据标准,以及兼容的永久冻土特定元数据配置文件。数据以单独的NetCDF文件和文本文件的形式提供。它们完全可以在https://doi.org/10.5281/zenodo.18022924(版本0.9.1)(Meier-Legault等人,2025)和ERDDAP服务器(https://data.permafrostnet.ca/erddap,最后一次访问:2026年7月21日)上访问,遵循FAIR原则。一些限制仍然存在,包括一些数据集中时区的不确定性,以及缺乏统一站点描述元数据的标准化方法。尽管如此,该收集提高了加拿大地温数据的可及性和可用性,用于全国范围的永久冻土研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, 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.
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