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Supporting data for "Damage development on Antarctic ice shelves sensitive to climate warming"

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4TU.ResearchData2025-10-01 更新2026-04-23 收录
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This repository contains supporting data for the article "Damage development on Antarctic ice shelves sensitive to climate warming" by M. Izeboud, S.Lhermitte, S. de Roda Husman and B.Wouters, in review in Nature Climate Change, 2025.<br>This repository is meant to help transparency and reproducibility. Included in this repository are (as discussed in the manuscript): (i) a list of all individually processed relative orbits of Sentinel-1 data to generate annual damage maps, (ii) annual ice shelf polygons used to clip the damage maps, (iii) aggregated damage values per ice shelf for all assessed years (1997, 2000; 2015-2021), (iv) the trained Random Forest model that was used to produce damage projections and (v) the projected damage values as presented in the article, obtained from the trained Random Forest regression model applied to ice sheet model data from models participating in the ISMIP-6 project (Seroussi et al, 2020)<br>Code used to process and analyse the data as discussed in the article, are provided on github.com/mizeboud/antarctic-damage-change/. The full dataset of annual Antarctic damage maps can be found at the other, linked, 4TU data repository.<br>More details are included in the README<br><br>

本仓库为M. Izeboud、S. Lhermitte、S. de Roda Husman与B. Wouters合著的、2025年投稿于《Nature Climate Change》的论文《Damage development on Antarctic ice shelves sensitive to climate warming》提供配套支撑数据。 本仓库旨在提升研究的透明度与可复现性。仓库内包含论文中提及的如下内容:(i) 用于生成年度冰架损伤图的所有经独立处理的哨兵1号(Sentinel-1)数据相对轨道列表;(ii) 用于裁剪损伤图的年度冰架多边形数据集;(iii) 所有评估年份(1997年、2000年、2015年至2021年)下各冰架的汇总损伤值;(iv) 用于生成损伤预测的经训练随机森林(Random Forest)模型;(v) 论文中展示的损伤预测值,该值由经训练的随机森林回归模型应用于冰盖模式比对计划第六阶段(ISMIP-6,Seroussi等,2020)项目参与模型的冰盖模式数据后得到。 本研究处理与分析数据所用的代码已开源至github.com/mizeboud/antarctic-damage-change/。完整的年度南极冰架损伤图数据集可于关联的另一4TU数据仓库获取。更多细节请参阅仓库内的README文件。
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2025-10-01
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