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

Data sets

Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century ( N. A. Rayner, D. E. Parker, E. B. Horton, C. K. Folland, L. V. Alexander, D. P. Rowell, E. C. Kent, and A. Kaplan

A Reanalysis of Ocean Climate Using Simple Ocean Data Assimilation (SODA) ( J. A. Carton and B. S. Giese

Model code and software

Multivariate empirical mode decomposition ( N. Rehman and D. P. Mandic

Python implementation of Empirical Mode Decomposition algorithm Dawid Laszuk

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.