{"title":"Near-Surface Air Temperature Profile in Maritime Antarctica (2006–2023)","authors":"Miguel Angel de Pablo","doi":"10.1002/gdj3.70021","DOIUrl":null,"url":null,"abstract":"<p>This dataset comprises vertical arrays of air temperature measurements collected on Livingston and Deception Islands, Antarctica, between 2006 and early 2024. The arrays, part of the PERMATHERMAL network integrated into the Global Terrestrial Network for Permafrost (GTN-P) database, were designed to support studies on permafrost thermal regimes and snow cover dynamics. Standard configurations included temperature sensors placed at heights of 2.5, 5, 10, 20, 40, 80, and 160 cm above the ground, mounted on wooden masts to minimise thermal interference. Higher-resolution configuration with up to 15 vertical measurements (between 2.5 and 160 cm above the ground surface) and miniature configuration with 8 sensors (between 2.5 and 40 cm above the ground surface) were also occasionally deployed for spatial-specific studies. Data were mainly recorded using iButton DS1921G (Miniature configuration) and DS1922L (standard and high-resolution configurations) temperature loggers (Maxim Integrated). Despite occasional gaps due to energy depletion or device damage, the dataset provides reliable long-term monitoring in a region where such measurements are logistically challenging. Originally acquired to estimate seasonal snow thickness through the analysis of vertical thermal gradients, the dataset has broader applications. These include investigating snowpack thermophysical properties, ground-atmosphere energy exchanges, snow hydrology, ecological processes, and remote sensing calibration. Raw data in American Standard Code for Information Interchange (ASCII) format, without filtering or preprocessing, are made available to ensure flexibility for diverse research needs, allowing users to apply tailored cleaning and analysis protocols. The dataset is particularly valuable for addressing the scarcity of observational air temperature data in Antarctica. It provides a ground-based complement to satellite measurements and supports studies on snow-atmosphere interactions, soil thermal regimes, and the micrometeorology of polar environments. This unique resource facilitates multidisciplinary research across cryospheric science, hydrology, ecology, and remote sensing, offering insights into processes in extreme environments. The contribution of these long-term measurements highlights the importance of accessible, high-resolution datasets to advance understanding of Antarctica's complex environmental systems.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"12 3","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70021","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Data Journal","FirstCategoryId":"89","ListUrlMain":"https://rmets.onlinelibrary.wiley.com/doi/10.1002/gdj3.70021","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This dataset comprises vertical arrays of air temperature measurements collected on Livingston and Deception Islands, Antarctica, between 2006 and early 2024. The arrays, part of the PERMATHERMAL network integrated into the Global Terrestrial Network for Permafrost (GTN-P) database, were designed to support studies on permafrost thermal regimes and snow cover dynamics. Standard configurations included temperature sensors placed at heights of 2.5, 5, 10, 20, 40, 80, and 160 cm above the ground, mounted on wooden masts to minimise thermal interference. Higher-resolution configuration with up to 15 vertical measurements (between 2.5 and 160 cm above the ground surface) and miniature configuration with 8 sensors (between 2.5 and 40 cm above the ground surface) were also occasionally deployed for spatial-specific studies. Data were mainly recorded using iButton DS1921G (Miniature configuration) and DS1922L (standard and high-resolution configurations) temperature loggers (Maxim Integrated). Despite occasional gaps due to energy depletion or device damage, the dataset provides reliable long-term monitoring in a region where such measurements are logistically challenging. Originally acquired to estimate seasonal snow thickness through the analysis of vertical thermal gradients, the dataset has broader applications. These include investigating snowpack thermophysical properties, ground-atmosphere energy exchanges, snow hydrology, ecological processes, and remote sensing calibration. Raw data in American Standard Code for Information Interchange (ASCII) format, without filtering or preprocessing, are made available to ensure flexibility for diverse research needs, allowing users to apply tailored cleaning and analysis protocols. The dataset is particularly valuable for addressing the scarcity of observational air temperature data in Antarctica. It provides a ground-based complement to satellite measurements and supports studies on snow-atmosphere interactions, soil thermal regimes, and the micrometeorology of polar environments. This unique resource facilitates multidisciplinary research across cryospheric science, hydrology, ecology, and remote sensing, offering insights into processes in extreme environments. The contribution of these long-term measurements highlights the importance of accessible, high-resolution datasets to advance understanding of Antarctica's complex environmental systems.
Geoscience Data JournalGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍:
Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered.
An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices.
Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.