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
Institutions
- Georgia Institute of Technology (US)
- Georgia Tech Research Institute
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
- 0.00