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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18880766 |
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Table of Contents:
- <p>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:<br><br></p> <table style="border-collapse: collapse; width: 100.063%; height: 176.344px;"><colgroup><col style="width: 24.9685%;"><col style="width: 24.9685%;"><col style="width: 24.9685%;"><col style="width: 24.9685%;"></colgroup> <tbody> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;">Index</td> <td style="height: 19.5938px;">Name</td> <td style="height: 19.5938px;">Definition</td> <td style="height: 19.5938px;">Unit</td> </tr> <tr style="height: 39.1875px;"> <td style="height: 39.1875px;">WARM</td> <td style="height: 39.1875px;">Warm days</td> <td style="height: 39.1875px;">Number of days where maximum Temp > 25 C</td> <td style="height: 39.1875px;">days per month</td> </tr> <tr style="height: 39.1875px;"> <td style="height: 39.1875px;">COLD</td> <td style="height: 39.1875px;">Cold days</td> <td style="height: 39.1875px;">Number of days where minimum Temp < 0 C</td> <td style="height: 39.1875px;">days per month</td> </tr> <tr style="height: 39.1875px;"> <td style="height: 39.1875px;">DRY</td> <td style="height: 39.1875px;">Dry days</td> <td style="height: 39.1875px;">Number of days where precip < 1 mm/day</td> <td style="height: 39.1875px;">days per month</td> </tr> <tr style="height: 39.1875px;"> <td style="height: 39.1875px;">WET</td> <td style="height: 39.1875px;">Wet days</td> <td style="height: 39.1875px;">Number of days where precip >= 10 mm/day</td> <td style="height: 39.1875px;">days per month</td> </tr> </tbody> </table> <p>The ETCCDI indices files are organized by model > scenario > ensemble member > indices. </p> <ul> <li>CESM <ul> <li>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</li> <li>The ARISE-SAI-1.0 baseline encompasses historical + SSP2-4.5_1</li> <li>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.</li> </ul> </li> <li>E3SM & MIROC <ul> <li>Scenarios --> SSP2-4.5, SSP2-4.5-H (baseline for HiLLA), G6-1.5K-SAI, and HiLLA-SAI </li> </ul> </li> <li>UKESM <ul> <li>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</li> <li>SSP2-4.5-H ensemble #2 is missing data for parts of early-century SSP2-4.5.</li> </ul> </li> </ul> <p>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).</p> <p>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</p> <p> </p> <p> </p>