Advances in Statistical Climatology,
Meteorology and Oceanography
Advances in Statistical Climatology,
Meteorology and Oceanography
Advances in Statistical Climatology,
Meteorology and Oceanography
Articles | Volume 8, issue 1
Articles | Volume 8, issue 1
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 135–154, 2022
https://doi.org/10.5194/ascmo-8-135-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 135–154, 2022
https://doi.org/10.5194/ascmo-8-135-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 8, issue 1
 
13 Jun 2022
13 Jun 2022

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

Daniel M. Gilford et al.

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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.
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