Comparing climate time series –  Part 2: A multivariate test

DelSole, Timothy; Tippett, Michael K.

doi:https://doi.org/10.5194/ascmo-7-73-2021

Articles | Volume 7, issue 2

https://doi.org/10.5194/ascmo-7-73-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Data sets

Coupled Model Intercomparison Project 5 (CMIP5) World Climate Research Programme https://esgf-node.llnl.gov/projects/cmip5/

Model code and software

Software for comparing time series T. DelSole and M. K. Tippett https://github.com/tdelsole/Comparing-Time-Series

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.