Quantifying the effectiveness of multiple SAI strategies across different dimensions - ETCCDI indices

This contains the 4 ETCCDI monthly indices used in the manuscript: "Quantifying the effectiveness of multiple SAI strategies across different dimensions" for each model (CESM2, E3SMv3, UKESM1 and MIROC) and scenario (SAI and SSP). The indices are as follows: Index Name Definition Unit WARM Warm days Number of days where maximum Temp > 25 C days per month COLD Cold days Number of days where minimum Temp < 0 C days per month DRY Dry days Number of days where precip < 1 mm/day days per month WET Wet days Number of days where precip >= 10 mm/day days per month The ETCCDI indices files are organized by model > scenario > ensemble member > indices. CESM Scenarios --> SSP2-4.5, SSP2-4.5-1 (baseline for ARISE-SAI-1.0), Historical, G6-1.5K-SAI, HiLLA-SAI, and ARISE-SAI-1.5 The ARISE-SAI-1.0 baseline encompasses historical + SSP2-4.5_1 SSP2-4.5 is the baseline for all other SAI scenarios (G6, HiLLA, ARISE-1.5) . Because of issues with daily data for the first five ensemble members, only the indices for the last 5 ensemble members of SSP2-4.5 are available here. E3SM & MIROC Scenarios --> SSP2-4.5, SSP2-4.5-H (baseline for HiLLA), G6-1.5K-SAI, and HiLLA-SAI UKESM Scenarios --> SSP2-4.5, SSP2-4.5-H (baseline for HiLLA), SSP2-4.5A (baseline for ARISE), G6-1.5K-SAI, HiLLA-SAI, and ARISE-SAI-1.5 SSP2-4.5-H ensemble #2 is missing data for parts of early-century SSP2-4.5. Note that some SSP2-4.5 are named for specific SAI experiments (i.e., SSP2-4.5-H is the corresponding SSP for HiLLA experiments, SSP2-4.5A is for ARISE). The code used to calculate the 4 monthly indices is calculate_monthly_indices.ipynb. This notebook also contains a function to rename the variables to their designated file name. To calculate other yearly monthly indices, usecalculate_yearly_indices.ipynb