Weather persistence on sub-seasonal to seasonal timescales: a methodological review

Tuel, Alexandre; Martius, Olivia

doi:https://doi.org/10.5194/esd-14-955-2023

Articles | Volume 14, issue 5

https://doi.org/10.5194/esd-14-955-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esd-14-955-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 5

Review

|

13 Sep 2023

Review |

| 13 Sep 2023

Weather persistence on sub-seasonal to seasonal timescales: a methodological review

Alexandre Tuel and Olivia Martius

Model code and software

CDSK (Chaotic Dynamical System Kit) Y. Robin https://github.com/yrobink/CDSK

Quantifying persistence in weather data A. Tuel https://doi.org/10.5281/ZENODO.8329531

dtheta S. Thao https://github.com/thaos/dtheta

CSTools: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales N. Perez-Zanon https://CRAN.R-project.org/package= CSTools

Short summary

Weather persistence on sub-seasonal to seasonal timescales has been a topic of research since the early days of meteorology. Stationary or recurrent behavior are common features of weather dynamics and are strongly related to fundamental physical processes, weather predictability and surface weather impacts. In this review, we propose a typology for the broad concepts related to persistence and discuss various methods that have been used to characterize persistence in weather data.