Advances in Statistical Climatology,
Meteorology and Oceanography
Advances in Statistical Climatology,
Meteorology and Oceanography
Advances in Statistical Climatology,
Meteorology and Oceanography
Articles | Volume 7, issue 2
Articles | Volume 7, issue 2
Adv. Stat. Clim. Meteorol. Oceanogr., 7, 73–85, 2021
https://doi.org/10.5194/ascmo-7-73-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Adv. Stat. Clim. Meteorol. Oceanogr., 7, 73–85, 2021
https://doi.org/10.5194/ascmo-7-73-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 2
 
02 Dec 2021
02 Dec 2021

Comparing climate time series – Part 2: A multivariate test

Timothy DelSole and Michael K. Tippett

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Short summary
After a new climate model is constructed, a natural question is whether it generates realistic simulations. Here, realistic does not mean that the detailed patterns on a particular day are correct, but rather that the statistics over many years are realistic. Past approaches to answering this question often neglect correlations in space and time. This paper proposes a method for answering this question that accounts for correlations in space and time.
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