2006-2023年南极海洋近地表气温廓线

IF 2.4 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Miguel Angel de Pablo
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引用次数: 0

摘要

该数据集包括2006年至2024年初在南极洲利文斯顿岛和欺骗岛收集的垂直温度测量数据。这些阵列是永久冻土网络的一部分,整合到全球永久冻土地面网络(GTN-P)数据库中,旨在支持永久冻土热状态和积雪动态的研究。标准配置包括放置在离地面2.5、5、10、20、40、80和160厘米高度的温度传感器,安装在木桅杆上,以尽量减少热干扰。高分辨率配置,高达15个垂直测量(2.5至160厘米以上的地面)和微型配置,8个传感器(2.5至40厘米以上的地面),偶尔也部署用于空间特定的研究。数据主要记录使用iButton DS1921G(微型配置)和DS1922L(标准和高分辨率配置)温度记录仪(Maxim Integrated)。尽管偶尔会由于能量耗尽或设备损坏而出现缺口,但该数据集为此类测量在后勤上具有挑战性的地区提供了可靠的长期监测。该数据集最初是通过分析垂直热梯度来估计季节雪厚,现在有更广泛的应用。其中包括调查积雪热物理性质、地面-大气能量交换、雪水文、生态过程和遥感校准。未经过滤或预处理的美国信息交换标准代码(ASCII)格式的原始数据可用于确保不同研究需求的灵活性,允许用户应用量身定制的清洗和分析协议。该数据集对于解决南极洲观测气温数据的缺乏问题特别有价值。它为卫星测量提供了地面补充,并支持关于雪-大气相互作用、土壤热状态和极地环境微气象学的研究。这种独特的资源促进了跨冰冻圈科学、水文学、生态学和遥感的多学科研究,提供了对极端环境过程的见解。这些长期测量的贡献突出了可获取的高分辨率数据集对于促进对南极洲复杂环境系统的了解的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Near-Surface Air Temperature Profile in Maritime Antarctica (2006–2023)

Near-Surface Air Temperature Profile in Maritime Antarctica (2006–2023)

Near-Surface Air Temperature Profile in Maritime Antarctica (2006–2023)

Near-Surface Air Temperature Profile in Maritime Antarctica (2006–2023)

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.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, 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.
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