Ice thickness and bed topography of Jostedalsbreen ice cap, Norway

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Earth System Science Data Pub Date : 2024-07-02 DOI:10.5194/essd-2024-167
Mette Kusk Gillespie, Liss Marie Andreassen, Matthias Huss, Simon de Villiers, Kamilla Hauknes Sjursen, Jostein Aasen, Jostein Bakke, Jan Magne Cederstrøm, Halgeir Elvehøy, Bjarne Kjøllmoen, Even Loe, Marte Meland, Kjetil Melvold, Sigurd Daniel Nerhus, Torgeir Opeland Røthe, Eivind Nagel Wilhelm Støren, Kåre Øst, Jacob Clement Yde
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Abstract

Abstract. We present an extensive dataset of ice thickness measurements from Jostedalsbreen ice cap, mainland Europe's largest glacier. The dataset consists of more than 351 000 point values of ice thickness distributed along ~1100 km profile segments that cover most of the ice cap. Ice thickness was measured during field campaigns in 2018, 2021, 2022, and 2023 using various ground-penetrating radar (GPR) systems with frequencies ranging between 2.5 and 500 MHz. The large majority of ice thickness observations were collected in spring using either snowmobiles (90 %) or a helicopter-based radar system (8 %), while summer measurements were carried out on foot (2 %). To ensure accessibility and ease of use, metadata were attributed following the GlaThiDa dataset and follows the FAIR (Findable, Accessible, Interoperable, and Reusable) guiding principles. Our findings show that glacier ice of more than 400 m thickness is found in the upper regions of large outlet glaciers, with a maximum ice thickness of ~630 m in the Tunsbergdalsbreen outlet glacier accumulation area. Thin ice of less than 50 m covers narrow regions joining the central part of Jostedalsbreen with its northern and southern parts, making the ice cap vulnerable to break-up with future climate warming. Using the point values of ice thickness as input to an ice thickness model, we compute 10 m grids of ice thickness and bed topography that cover the entire ice cap. From these distributed datasets we find that Jostedalsbreen has a mean ice thickness of 154 m ±22 m and a present (~2020) ice volume of 70.6 ±10.2 km3. Locations of depressions in the map of bed topography are used to delimitate the locations of potential future lakes, consequently providing a glimpse of the landscape if the entire Jostedalsbreen melts away. Together, the comprehensive ice thickness point values and ice cap-wide grids serve as a baseline for future climate change impact studies at Jostedalsbreen. All data are available for download at https://doi.org/10.58059/yhwr-rx55 (Gillespie et al., 2024).
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挪威 Jostedalsbreen 冰盖的冰层厚度和冰床地形
摘要我们展示了欧洲大陆最大冰川乔斯达尔斯布林冰盖的大量冰厚度测量数据集。该数据集包含超过 351 000 个冰厚度点值,分布在约 1100 千米的剖面段上,覆盖了冰帽的大部分区域。在 2018 年、2021 年、2022 年和 2023 年的实地考察中,使用频率在 2.5 和 500 兆赫之间的各种探地雷达 (GPR) 系统测量了冰厚度。绝大多数冰层厚度观测数据都是在春季使用雪地车(90%)或直升机雷达系统(8%)收集的,而夏季测量则是徒步进行的(2%)。为确保数据的可访问性和易用性,我们按照 GlaThiDa 数据集和 FAIR(可查找、可访问、可互操作和可重用)指导原则对元数据进行了归属。我们的研究结果表明,大型出口冰川上部区域的冰层厚度超过 400 米,Tunsbergdalsbreen 出口冰川堆积区的最大冰层厚度约为 630 米。小于 50 米的薄冰覆盖了连接约斯特达尔布林中部及其北部和南部的狭窄区域,这使得冰盖很容易在未来气候变暖时破裂。利用冰层厚度的点值作为冰层厚度模型的输入,我们计算出了覆盖整个冰盖的 10 米冰层厚度和冰床地形网格。通过这些分布式数据集,我们发现约瑟达尔斯布林的平均冰厚为 154 米 ±22 米,目前(约 2020 年)的冰体积为 70.6 ±10.2 立方公里。冰床地形图中的凹陷位置被用来划定未来潜在湖泊的位置,从而提供了如果整个约瑟达尔斯屏融化后的景观一瞥。综合冰层厚度点值和冰盖范围网格可作为约瑟达尔斯布林未来气候变化影响研究的基线。所有数据可在 https://doi.org/10.58059/yhwr-rx55 上下载(Gillespie 等人,2024 年)。
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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