全球冰川消失探索者:单条冰川灭绝年份交互地图

内容摘要
概述: 全球冰川消失探索者是一款基于交互地图的应用,旨在展示全球冰川的灭绝情况。该应用通过分析冰川面积和体积的变化,预测了不同温室气体排放情景下冰川的灭绝年份。 要点: 1. 该应用使用三个全球冰川模型(GloGEM、OGGM、PyGEM)和多种环流模型,结合不同的温室气体排放情景,预测冰川的灭绝年份。 2. 冰川灭绝的判断标准为面积降至0.01平方公里以下或体积降至初始值的1%以下。 3. 应用提供了不同温室气体排放情景下的冰川灭绝年份的中位数、25%和75%概率区间。 4. 数据来源包括Van Tricht等人的研究、RGI冰川轮廓数据、NSIDC冰体积数据等。 5. 该应用基于开源软件MapLibre GL JS、PMTiles、GeoPandas、NumPy、GDAL/ogr2ogr和go-pmtiles等开发。
概述:
全球冰川消失探索者是一款基于交互地图的应用,旨在展示全球冰川的灭绝情况。该应用通过分析冰川面积和体积的变化,预测了不同温室气体排放情景下冰川的灭绝年份。

要点:
1. 该应用使用三个全球冰川模型(GloGEM、OGGM、PyGEM)和多种环流模型,结合不同的温室气体排放情景,预测冰川的灭绝年份。
2. 冰川灭绝的判断标准为面积降至0.01平方公里以下或体积降至初始值的1%以下。
3. 应用提供了不同温室气体排放情景下的冰川灭绝年份的中位数、25%和75%概率区间。
4. 数据来源包括Van Tricht等人的研究、RGI冰川轮廓数据、NSIDC冰体积数据等。
5. 该应用基于开源软件MapLibre GL JS、PMTiles、GeoPandas、NumPy、GDAL/ogr2ogr和go-pmtiles等开发。

Global Glacier Extinction Explorer

Loading glacier data…

About this map

Glacier changes are traditionally quantified in terms of total (regional) mass and area loss, but such metrics do not fully capture the disappearance of individual glaciers. Yet every glacier, no matter how small, can matter. Beyond their contribution to sea-level rise or regional water resources, glaciers hold important cultural, ecological, and societal value, often deeply rooted in local landscapes and communities. In the context of the UN International Year of Glacier Preservation (2025), this study therefore shifts the focus towards the fate of individual glaciers worldwide.

To assess glacier extinction, two complementary criteria are used. A glacier is considered disappeared (extinct) when its area drops below 0.01 km², consistent with commonly used inventory thresholds, or when its remaining volume falls below 1% of its initial value, indicating that only a negligible ice body persists. To derive volume and area trajectories for each glacier, three global glacier models (GloGEM, OGGM, PyGEM) are used, combined with multiple General Circulation Models and emission scenarios corresponding to projected temperature increases of +1.5°C, +2.0°C, +2.7°C, and +4.0°C. All trajectories are then combined to determine median extinction years, as well as Q25 and Q75 ranges (i.e. the 25% and 75% probability intervals). These results are shown on the map.

Extinction is defined relative to the initial glacier outlines from the Randolph Glacier Inventory (RGI v6.0). Glacier fragmentation during retreat is not accounted for; all remaining ice within the original glacier extent is treated as part of the same glacier.

Data sources

  • Extinction projections: Van Tricht, L., Zekollari, H., Huss, M. et al. Peak glacier extinction in the mid-twenty-first century. Nature Climate Change 16, 143–147 (2026). doi:10.1038/s41558-025-02513-9
  • Regional and glacier-specific results (including those shown here) are publicly available on Zenodo: doi:10.5281/zenodo.17371641
  • Glacier outlines: RGI Consortium (2017). Randolph Glacier Inventory — A Dataset of Global Glacier Outlines, Version 6. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. doi:10.7265/4m1f-gd79
  • Ice volume: Farinotti, D., Huss, M., Fürst, J. J., Landmann, J., Machguth, H., Maussion, F., and Pandit, A.: A consensus estimate for the ice thickness distribution of all glaciers on Earth. Nat. Geosci., 12, 168–173, doi:10.1038/s41561-019-0300-3 , 2019.

Acknowledgements

This application is built on open-source software: MapLibre GL JS (map rendering), PMTiles (vector tile streaming), GeoPandas and NumPy (data processing), GDAL / ogr2ogr (tile generation), and go-pmtiles (tile packaging). The web application was designed and built by K. Van Tricht, with the assistance of Claude Sonnet 4.6 and GPT-6 Astra for the frontend code and data pipeline structure.

Feedback

If you notice incorrect data or have suggestions for improved naming, please send them to [email protected].

原始发布方:Hacker News 热门(buzzing.cc 中文翻译)

原文时间:2026-09-12 02:03:48 +08:00

阅读原文 · 数据来源:AIHOT

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