Identifying quasi-periodic variability using multivariate empirical mode decomposition: a case of the tropical Pacific

Boljka, Lina; Omrani, Nour-Eddine; Keenlyside, Noel S.

doi:https://doi.org/10.5194/wcd-4-1087-2023

Articles | Volume 4, issue 4

https://doi.org/10.5194/wcd-4-1087-2023

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

https://doi.org/10.5194/wcd-4-1087-2023

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

Articles | Volume 4, issue 4

Research article

|

07 Dec 2023

Research article |

| 07 Dec 2023

Identifying quasi-periodic variability using multivariate empirical mode decomposition: a case of the tropical Pacific

Lina Boljka, Nour-Eddine Omrani, and Noel S. Keenlyside

Supplement

https://doi.org/10.5194/wcd-4-1087-2023-supplement

Data sets

Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century (https://www.metoffice.gov.uk/hadobs/hadisst) N. A. Rayner, D. E. Parker, E. B. Horton, C. K. Folland, L. V. Alexander, D. P. Rowell, E. C. Kent, and A. Kaplan https://doi.org/10.1029/2002JD002670

A Reanalysis of Ocean Climate Using Simple Ocean Data Assimilation (SODA) (http://apdrc.soest.hawaii.edu/dods/public_data/SODA/soda_pop2.2.4) J. A. Carton and B. S. Giese https://doi.org/10.1175/2007MWR1978.1

Model code and software

Multivariate empirical mode decomposition (https://github.com/mariogrune/MEMD-Python-) N. Rehman and D. P. Mandic https://doi.org/10.1098/rspa.2009.0502

Python implementation of Empirical Mode Decomposition algorithm Dawid Laszuk https://doi.org/10.5281/zenodo.5459184

Short summary

This study examines quasi-periodic variability in the tropical Pacific on interannual timescales and related physics using a recently developed time series analysis tool. We find that wind stress in the west Pacific and recharge–discharge of ocean heat content are likely related to each other on ~1.5–4.5-year timescales (but not on others) and dominate variability in sea surface temperatures on those timescales. This may have further implications for climate models and long-term prediction.