This repository contains the code associated with the study employing the cGENIE Earth System Model to investigate the effects of the Indonesian Throughflow (ITF) and Indonesian Archipelago (IA) closure on global meridional thermohaline circulation (THC). The study spans a simulated period of 10,000 years, focusing on critical variables such as surface density, vertical density profiles, global overturning circulation, and ocean ventilation age.

The following are the individuals involved in this project: S. H. S. Herho, I. P. Anwar, G. A. Firdaus, D. E. Irawan, and R. Kapid.

These data and code are released under the GPL-3.0 License.

If you find these data useful, please consider citing our paper:

@article{herhoEtAl24a_itf,
         author={Herho, S. H. S. and Anwar, I. A. and Firdaus, G. A. and Irawan, D. E. and Kapid, R.},
         title={Role of Indonesian Archipelago on Global Thermohaline Circulation: Insights from Numerical Experiments},
         journal={xxxxx},
         year={2024},
         volume={x},
         number={x},
         pages={x - x},
         doi={xx}
}

cGENIE muffin version can be obtained from here. Meanwhile muffingen can be obtained from here. The baseconfigs and userconfigs used in this experiment can be seen here. For installation and running the model, you can follow the instructions from Ridgwell et al. (2018).

We analyzed the data under the Python 3 computing environment by using the following libraries:

• cmocean
• Matplotlib
• NumPy
• SciPy
• seaborn
• xarray

The computing environment can be reproduced by running the following command:

# Create a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

or as follows (for Anaconda users):

conda env create -f environment.yml
conda activate globITFPhysGENIE

We conducted numerical experiments on the sterling.ucr.edu server, which possesses the following specifications:

• Operating System: CentOS Linux release 7.4.1708 (Core)
• CPU Model: Intel(R) Xeon(R) CPU E5-2637 v4 @ 3.50GHz - 16 CPU(s)

This server was graciously provided by the Department of Earth and Planetary Sciences at the University of California, Riverside.

Simultaneously, the analysis of the model output data was performed on a personal computer with the following configuration:

• Operating System: ArchLinux 6.1.58-1-lts (kernel)
• CPU Model: Intel i7-5600U (4) @ 3,200GHz

We express profound gratitude to Andrew J. Ridgwell for enriching discussions and invaluable guidance in refining the numerical experiment setup. This study received financial support from the Dean's Distinguished Fellowship at the University of California, Riverside, and the ITB Research, Community Service, and Innovation Program (PPMI-ITB).