ShackletonSOM R Code used in Saunderson et al. (2022; The Cryosphere)

• Main Author: Dominic Saunderson
• Format: Software
• Language: unknown
• Published: 2022
• Subjects: Meteorology; Climate change processes; Earth and space science informatics; Surface water hydrology; Geomorphology and earth surface processes; Glaciology; Other earth sciences not elsewhere classified; surface melt; East Antarctica; ice shelves; climate change; Antarctica; Shackleton Ice Shelf; supraglacial melt; R; remote sensing; albedo; self-organising map; katabatic winds; spatiotemporal variability; machine learning; air temperatures; Mackintosh; Selwyn; Shackleton; Antarc*; Ice Sheet; Ice Shelf; Ice Shelves
• Online Access: https://doi.org/10.26180/21132934.v1; https://figshare.com/articles/software/ShackletonSOM_R_Code_used_in_Saunderson_et_al_2022_The_Cryosphere_/21132934

This repository contains the scripts used to analyse surface melt on the Shackleton Ice Shelf in East Antarctica. This work was carried out as part of my PhD with the Monash Ice Sheet Initiative at Monash University , where I am supervised by Prof. Andrew Mackintosh, Dr. Felicity McCormack, and Dr. Richard Selwyn Jones. This work has been accepted for publication in The Cryosphere, and is available as an open access article at https://doi.org/10.5194/tc-2022-94. The code here can also be found in the GitHub repository (see reference link below), where the README.md file will give more information about how to use and interact with these scripts. The code is written in R and uses renv to help with replicability. It is possible to recreate the figures from the manuscript just using the code in this repo; to explore melt on other ice shelves across Antarctica, you will also need to download the melt data, processed by co-author Ghislain Picard, and stored online at: https://doi.org/10.18709/perscido.2022.09.ds376