Welcome to the code repository for the paper "Robust Adaptation to Multi-Scale Climate Variability" by James Doss-Gollin, David Farnham, Scott Steinschneider, and Upmanu Lall, under review in Earth's Future.
Running the code in the src directory will enable you to generate all the figures in our paper, including supplemental figures.
You can also view original versions of several presentations of (early versions of) this work.
Please see the published (open-access) version of this paper for final text, figures, and references.
All the code except that which generates the wavelet spectrum of the NINO3 annual series is written in python and lives in the src directory.
You can install all the required packages in conda:
conda env create -f environment.yml
conda activate robust-adaptation-cyclical-risk
There are two steps to running the codes.
The first step is to run the computational experiments.
The relevant files are called slurm-LFV-Only.sh, slurm-LFV-Secular.sh, and slurm-Secular-Only.sh.
These files are currently written to be run on Columbia's Habanero cluster, but you can easily run them elsewhere.
Simply replace the comments at the top of each file (these are for a slurm scheduler) and replace
module load anaconda
source activate robust-adaptation-cyclical-risk
with
conda activate robust-adaptation-cyclical-risk
or whatever your system requires.
Running this code will take a long time and will generate a lot of data (order 10-100GB), so be prepared!
Once the experiments have run, you can use jupyter notebooks to visualize results.
These also live in the src directory and are numbered -- just run them in order.
For any problems running the code, please open an issue in the issues tab. For general questions, please contact James Doss-Gollin