Quantifying Southern Annular Mode paleo-reconstruction skill in a model framework

Huiskamp, Willem; McGregor, Shayne

doi:https://doi.org/10.5194/cp-17-1819-2021

Articles | Volume 17, issue 5

https://doi.org/10.5194/cp-17-1819-2021

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

https://doi.org/10.5194/cp-17-1819-2021

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

Articles | Volume 17, issue 5

Research article

|

13 Sep 2021

Research article |

| 13 Sep 2021

Quantifying Southern Annular Mode paleo-reconstruction skill in a model framework

Willem Huiskamp and Shayne McGregor

Supplement

https://doi.org/10.5194/cp-17-1819-2021-supplement

Data sets

ERA-Interim ECMWF https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim

Py-Ferret v7.63 National Oceanic and Atmospheric Administration (NOAA) http://ferret.pmel.noaa.gov/Ferret/

Model code and software

whuiskamp/SAM_pseudoproxy: Final accepted manuscript (v1.1) (https://github.com/whuiskamp/SAM_pseudoproxy) Willem Huiskamp https://doi.org/10.5281/zenodo.5153393

Short summary

This study investigates the reliability of paleo-reconstructions of the Southern Annular Mode (SAM) using climate model data. We find that reconstructions are able to capture ~ 60 % of the SAM variability at best, with poorer reconstructions managing only 35 %. Reconstructions perform best when they use more proxies sourced from the entire Southern Hemisphere land mass. Future reconstructions should endeavour to address both sampling and proxy–SAM correlation stability uncertainties.