https://github.com/cryotools/subglacial-overdeepenings

An inventory of future glacial lakes in High Mountain Asia including assessments of the mass movement impact hazards from surrounding slopes.

https://github.com/cryotools/subglacial-overdeepenings

Science Score: 33.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 9 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.0%) to scientific vocabulary

Keywords

dataset future-glacial-lakes hazard-assessment mountain-asia
Last synced: 10 months ago · JSON representation

Repository

An inventory of future glacial lakes in High Mountain Asia including assessments of the mass movement impact hazards from surrounding slopes.

Basic Info
  • Host: GitHub
  • Owner: cryotools
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage: https://hu-berlin.de/glamor
  • Size: 7.36 MB
Statistics
  • Stars: 3
  • Watchers: 2
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Topics
dataset future-glacial-lakes hazard-assessment mountain-asia
Created almost 6 years ago · Last pushed about 5 years ago
Metadata Files
Readme License

README.md

GLAMoR

Future Glacial Lakes in High Mountain Asia - Modeling and Risk Analysis

Introduction

With this dataset, we present the first inventory of subglacial overdeepenings indicating possible locations of future glacial lakes for the entire region of High Mountain Asia. We include an assessment of the hazard of mass movement impacts for each lake which, combined with the lake volume, gives a first-order impression of the potential glacial lake outburst flood (GLOF) hazard at a given location.

This dataset can be used for anticipating emerging threats and potentials connected to glacial lakes and as a basis for further studies at suspected GLOF hazard hotspots.

The related study is part of the GLAMoR project (Future Glacial Lakes in High Mountain Asia - Modeling and Risk Analysis) at the Geography Department of Humboldt-Universität zu Berlin. The results of the study were published in the Journal of Glaciology:

Furian, W., Loibl, D., & Schneider, C. (2021). Future glacial lakes in High Mountain Asia: An inventory and assessment of hazard potential from surrounding slopes. Journal of Glaciology, 1-18. doi:10.1017/jog.2021.18.

Ressources

This study builds on several resources: - Farinotti et al. (2019): A consensus estimate for the ice thickness distribution of all glaciers on Earth, In Nat. Geosci. 12 (3), pp. 168–173. - RGI Consortium (2017): Randolph Glacier Inventory - A Dataset of Global Glacier Outlines: Version 6.0, Global Land Ice Measurements from Space Initiative. - Takaku et al. (2018): Quality Improvements of ‘AW3D’ Global Dsm Derived from Alos Prism. In : Proc. IGARSS 2018

Improving the dataset

Please use the Issues section to report any errors. If you would like to share your own improvements to the code or the shapefiles, please fork the repository, commit your changes, and file a merge request.

Citation

You are free to use this dataset in your research. If you do, please refer to the release you used, e.g., for v0.1:

Furian, Wilhelm (2020): An inventory of future glacial lakes in High Mountain Asia in shapefile format, v0.1, Zenodo, DOI: 10.5181/zenodo.3958786

DOI

Owner

  • Name: CryoTools
  • Login: cryotools
  • Kind: organization

Scientific software tools to investigate the cryosphere - community driven, free, open source

GitHub Events

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Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 38
  • Total Committers: 3
  • Avg Commits per committer: 12.667
  • Development Distribution Score (DDS): 0.105
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
WFurian f****l@g****e 34
Wilhelm Furian 5****n 3
David Loibl i****o@d****e 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • WFurian (1)
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