Predicting Mean Depth and Area Fraction of Antarctic Supraglacial Melt Lakes with Physics-Based Parameterizations

The code and data used in Grau et al., 2025, "Predicting Mean Depth and Area Fraction of Antarctic Supraglacial Melt Lakes with Physics-Based Parameterizations". This repository includes code to replicate the Icesat-2 altimetry analysis, Monte-Carlo hydrology simulations used to develop parameterizations, and the validation of the parameterizations. This repository includes the data and scripts used to generate the figures in this paper. Full descriptions and the most updated versions of these scripts can be found at the following GitHub repository. https://github.com/dgrau13/meltlake-parameterizations/tree/main

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-20
DOI
https://doi.org/10.5281/zenodo.15467940
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
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article

Predicting Mean Depth and Area Fraction of Antarctic Supraglacial Melt Lakes with Physics-Based Parameterizations

Zenodo (CERN European Organization for Nuclear Research)
Cryospheric studies and observations
article

Predicting Mean Depth and Area Fraction of Antarctic Supraglacial Melt Lakes with Physics-Based Parameterizations

article en

Abstract

The code and data used in Grau et al., 2025, "Predicting Mean Depth and Area Fraction of Antarctic Supraglacial Melt Lakes with Physics-Based Parameterizations". This repository includes code to replicate the Icesat-2 altimetry analysis, Monte-Carlo hydrology simulations used to develop parameterizations, and the validation of the parameterizations. This repository includes the data and scripts used to generate the figures in this paper. Full descriptions and the most updated versions of these scripts can be found at the following GitHub repository. https://github.com/dgrau13/meltlake-parameterizations/tree/main

Zenodo (CERN European Organization for Nuclear Research)
Georgia Institute of Technology (US), Georgia Tech Research Institute
Life below water
Openalex Percentile: Top 51%
Cryospheric studies and observations
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