Supplementary code, data and model output for: Ice-front retreat controls on ocean dynamics under Larsen C Ice Shelf, Antarctica

This repository contains the necessary code and input data to reproduce the MITgcm model output presented in:

Poinelli, M., Nakayama, Y., Larour, E., Vizcaino, M., and Riva, R.: Ice-front retreat controls on ocean dynamics under Larsen C Ice Shelf, Antarctica, Geophysical Research Letters, 50, e2023GL104588. https://doi.org/10.1029/2023GL104588

By using these resources, researchers can replicate the results obtained in the study and further explore the findings.

You will find the following:

• README.md : this file code
• code: mitgcm code
• input_larsen06f : input files for control run run_larsen06f
• input_iceberg06f : input files for iceberg run run_iceberg06f

You can find model output, and .bin files to run the model in the ECCO-drive repository https://ecco.jpl.nasa.gov/drive/files/ECCO2/High_res_LarsenC/:

If you find this material helpful, or if you use our code and data in your research, please cite our publication listed above. Do not hesitate to send me an email if anything is unclear.

---

Quick runme

0. Download a copy of this repository:

git clone https://github.com/MPoinelli/Poinelli2023b_GRL.git

1. Download a git-aware copy of MITgcm

git clone https://github.com/MITgcm/MITgcm.git

2. Select the folder where you want to compile MITgcm (assuming that you did NOT download MITgcm in the same directory of Poinelli2023b_GRL), e.g. a folder named build within the MITgcm directory:

Please note that MITgcm offers numerous option files and customization options. For detailed guidelines on how to use the software, please refer to the MITgcm user manual.

The experiments presented in this repository were conducted on the NASA Pleiades supercomputer, utilizing 964 processors running for approximately 10 days per experiment.

To adapt the grid and time scale and/or grid resolution to your own machine, you may modify the relevant parameters as needed. Note that changing the resolution will likely alter the results.

mkdir MITgcm/build
MITgcm/tools/genmake2 -mods ../../Poinelli2023b_GRL/code -optfile </PATH/TO/OPTFILE>
make depend
make

3. Run MITgcm. If compilation finished successfully, then an executable called mitgcmuv will now exist in the local build folder. If you were to run the model as a single process, simply type:

cd Poinelli2023b_GRL/input_larsen06fx
ln -s ../MITgcm/build/mitgcmuv .
./mitgcmuv

However, as mentioned above, the experiments were designed to rely on parallel computing and were performed on the Pleiades supercomputer.

Furthermore, you will need .bin files that are in here https://ecco.jpl.nasa.gov/drive/files/ECCO2/High_res_LarsenC/repository_bin_files (registration is required to access the data).

Do not hesitate to send me an email if you need support with running these experiments in parallel.