Articles | Volume 8, issue 1
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 135–154, 2022
https://doi.org/10.5194/ascmo-8-135-2022
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 135–154, 2022
https://doi.org/10.5194/ascmo-8-135-2022
 
13 Jun 2022
13 Jun 2022

A multi-method framework for global real-time climate attribution

Daniel M. Gilford et al.

Model code and software

ISIMIP2b Bias-Correction Code S. Lange https://doi.org/10.5281/zenodo.1069050

climatecentral/gilford22_attframework: Release supporting the publication of “A multi-method framework for global real-time climate attribution” D. Gilford https://doi.org/10.5281/zenodo.6624712

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Short summary
We developed a framework to produce global real-time estimates of how human-caused climate change affects the likelihood of daily weather events. A multi-method approach provides ensemble attribution estimates accompanied by confidence intervals, creating new opportunities for climate change communication. Methodological efficiency permits daily analysis using forecasts or observations. Applications with daily maximum temperature highlight the framework's capacity on daily and global scales.