SAM-Melt_EA - R Code used in Saunderson et al. (2023; GRL Submission)

• Main Author: Dominic Saunderson
• Format: Software
• Language: unknown
• Published: 2023
• Subjects: Meteorology; Atmospheric sciences not elsewhere classified; Climate change processes; Climatology; Geomorphology and earth surface processes; Glaciology; Other earth sciences not elsewhere classified; surface melt; Southern Annular Mode; East Antarctica; climate change; surface energy balance; RACMO2; air temperatures; Antarctica; precipitation; albedo; climate variability; atmospheric circulation; R; spatiotemporal variability; ice shelves; cryosphere; regional climate model; Mackintosh; Terrapin; Kular; Khroma; Antarc*; Ice Sheet; Ice Shelves
• Online Access: https://doi.org/10.26180/24356182.v1; https://figshare.com/articles/software/SAM-Melt_EA_-_R_Code_used_in_Saunderson_et_al_2023_GRL_Submission_/24356182

Overview The notebooks in this repository contain R code that has been used to investigate the influence of the Southern Annular Mode (SAM) on surface melt in East Antarctica. This work has been undertaken as part of my PhD with the Monash Ice Sheet Initiative and SAEF at Monash University , where I am supervised by Prof. Andrew Mackintosh, Dr. Felicity McCormack, and Dr. Richard Jones. An accompanying manuscript has been submitted to the Geophysical Research Letters journal. Code & Instructions This project uses the R programming language and was written using RStudio, on both Windows 10 and MacOS 12.6.3. It uses the renv package to help with portability / replicability. The code here can also be found on GitHub in the SAM-Melt_EA repository, and is tagged as version v4.0. See the README.md file there for more information about the project and the repository set-up, plus where to download the necessary raw data. In particular, it is necessary to download the RACMO2.3p3 data, provided by co-author Christiaan van Dalum, and available online at: https://doi.org/10.5281/zenodo.7639053 . Note: In addition to standard R packages from CRAN, it will be necessary to install 5 packages from my GitHub page. These packages (and the version used in this project) are: polarcm (v0.1.3) eases use of output from the polar regional climate models RACMO and MAR terrapin (v0.1.1) spinoff from terra that eases handling dates of spatial data figuR (v0.1.2) for easily customisable figures kulaR (v0.1.5) a wrapper around khroma to ease colour management in plots domR (v0.1.5) functions for easing how I approach a project with R