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The new database of the Global Terrestrial Network for Permafrost (GTN-P)

机译：全球多年冻土地面网络（GTN-P）的新数据库

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The Global Terrestrial Network for Permafrost (GTN-P) provides the first dynamic database associated with the Thermal State of Permafrost (TSP) and the Circumpolar Active Layer Monitoring (CALM) programs, which extensively collect permafrost temperature and active layer thickness (ALT) data from Arctic, Antarctic and mountain permafrost regions. The purpose of GTN-P is to establish an early warning system for the consequences of climate change in permafrost regions and to provide standardized thermal permafrost data to global models. In this paper we introduce the GTN-P database and perform statistical analysis of the GTN-P metadata to identify and quantify the spatial gaps in the site distribution in relation to climate-effective environmental parameters. We describe the concept and structure of the data management system in regard to user operability, data transfer and data policy. We outline data sources and data processing including quality control strategies based on national correspondents. Assessment of the metadata and data quality reveals 63 % metadata completeness at active layer sites and 50 % metadata completeness for boreholes. Voronoi tessellation analysis on the spatial sample distribution of boreholes and active layer measurement sites quantifies the distribution inhomogeneity and provides a potential method to locate additional permafrost research sites by improving the representativeness of thermal monitoring across areas underlain by permafrost. The depth distribution of the boreholes reveals that 73 % are shallower than 25 m and 27 % are deeper, reaching a maximum of 1 km depth. Comparison of the GTN-P site distribution with permafrost zones, soil organic carbon contents and vegetation types exhibits different local to regional monitoring situations, which are illustrated with maps. Preferential slope orientation at the sites most likely causes a bias in the temperature monitoring and should be taken into account when using the data for global models. The distribution of GTN-P sites within zones of projected temperature change show a high representation of areas with smaller expected temperature rise but a lower number of sites within Arctic areas where climate models project extreme temperature increase. GTN-P metadata used in this paper are available at doi:10.1594/PANGAEA.842821.
机译：全球多年冻土地面网络（GTN-P）提供了第一个与多年冻土热状态（TSP）和绕极活动层监测（CALM）程序相关的动态数据库，该数据库广泛收集多年冻土温度和活动层厚度（ALT）数据来自北极，南极和山区多年冻土地区。 GTN-P的目的是建立一个针对多年冻土地区气候变化后果的预警系统，并将标准化的多年冻土热数据提供给全球模型。在本文中，我们介绍了GTN-P数据库，并对GTN-P元数据进行统计分析，以识别和量化与气候有效环境参数有关的站点分布中的空间缺口。我们从用户可操作性，数据传输和数据策略方面描述了数据管理系统的概念和结构。我们概述了数据源和数据处理，包括基于国家通讯员的质量控制策略。对元数据和数据质量的评估显示，活动层站点的元数据完整性为63％，钻孔的元数据完整性为50％。对钻孔和活动层测量站点的空间样本分布进行Voronoi细分分析，可以量化分布的不均匀性，并通过提高跨多年冻土层下区域的热监测的代表性，提供了一种潜在的方法来定位其他多年冻土研究站点。钻孔的深度分布表明，比25 m浅73％，比27m深27％，最大深度为1 km。 GTN-P站点分布与多年冻土带，土壤有机碳含量和植被类型的比较显示出不同的区域到区域监测情况，并通过地图进行了说明。站点处的优先坡度定向很可能会导致温度监控出现偏差，因此在将数据用于全局模型时应将其考虑在内。预计温度变化区域内GTN-P站点的分布显示出预期温度上升幅度较小的地区的代表性较高，而气候模型预测极端温度升高的北极地区的站点数量较少。本文使用的GTN-P元数据可在doi：10.1594 / PANGAEA.842821中获得。

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