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ZENODO
Software . 2026
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Code for the manuscript "Contributions of supraglacial lakes to the Greenland Ice Sheet melting", A. Cotronei, A. Humbert, U. Feudel

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 22 Oct 2025Publisher:Zenodo
Authors: Cotronei, Alessandro;

doi: 10.5281/zenodo.17413870 , 10.5281/zenodo.20306352 , 10.5281/zenodo.17413871

Code for the manuscript "Contributions of supraglacial lakes to the Greenland Ice Sheet melting", A. Cotronei, A. Humbert, U. Feudel

Abstract

This repository contains code to simulate the impact of supraglacial lakes on the Greenland Ice Sheet over multi-century timescales. The script `SUPRAGLACIAL_LAKES.py` implements the experiments described in the paper *"Contributions of supraglacial lakes to the Greenland Ice Sheet Melting"* by A. Cotronei, U. Feudel and A. Humbert. It runs 200 years of simulations by default, producing plots and data for analysis of ice sheet melting dynamics. The code is optimized for performance using Numba and leverages Python packages such as NumPy, SciPy, and Matplotlib.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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