SOFTWARE ENVIRONMENT
====================

The climate-data processing, statistical analyses, and spatial
visualizations were performed in a Linux environment using
Climate Data Operators (CDO) and R.

OPERATING SYSTEM
================

Linux (x86_64)


CLIMATE DATA PROCESSING
=======================

Climate Data Operators (CDO): 2.6.1

CDO was used for NetCDF processing and climate-data manipulation,
including operations required for the multi-model climate analyses.


R ENVIRONMENT
=============

R version: 4.4.3

Main R packages used:

dplyr      1.2.1
ggplot2    4.0.3
ncdf4      1.24
patchwork  1.3.2
raster     3.6-32
sf         1.1-1
terra      1.9-34
tidyr      1.3.2
tidyterra  1.2.0


CONDA ENVIRONMENTS
==================

climate_env
  Climate-data processing with CDO.

r_gis
  Statistical analysis, spatial processing, and visualization in R.


REPRODUCIBILITY
===============

The supplementary R scripts used to generate Supplementary
Tables S1-S8 and Supplementary Figure S1 are provided in the
06_Scripts directory.

Large original climate datasets are not included because they are
derived from publicly available data sources described in
Supplementary Table S1.
