Work

Modulation of ENSO on the MJO Forecast

Year: 2025

Type: article

Abstract: Recent studies suggest that El Niño-Southern Oscillation (ENSO) can influence Madden-Julian Oscillation (MJO) forecasts, though this relationship remains inadequately examined, especially in boreal summer. Here, we address this gap using multiple dynamical models to systematically evaluate MJO forecast skill across seasons, initial phases, and amplitudes. Results show distinct seasonal dependencies. In boreal winter, MJO forecasts are more skillful during La Niña. This is primarily attributed to improved prediction of phase-2 MJO, which is more intense during La Niña. The phase-2 MJO propagates too fast and encounters an exaggerated Maritime Continent barrier during El Niño, reducing forecast accuracy. The superior prediction of initially strong MJO events during La Niña further boosts forecasts skill. Conversely, during boreal summer, El Niño yields better MJO forecasts than La Niña, stemming from models' ability to accurately capture the eastward-propagating, wavenumber-1 structure of the MJO in phases 3–4 under El Niño. During La Niña, however, westward-propagating disturbances dominate in these phases, which models consistently fail to reproduce, thus lowering forecast skill. Furthermore, in La Niña summers, forecast skill declines with increasing MJO amplitude, especially when initialized from phases 1–3. While models adeptly predict the stationary pattern of low-amplitude MJO, they struggle with the continuous eastward propagation of high-amplitude MJO, partly due to the exaggerated representation of dry, westward-moving signals from the central-eastern Pacific. This work enhances understanding of MJO–ENSO interaction dynamics and has practical implications for subseasonal forecasting.

Source: Atmospheric Research

DOI: 10.1016/j.atmosres.2025.108510

Authors: Yunda Huang, Yuntao Wei, Hong-Li Ren

Institutions: Fudan University, Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather

Language: English

Topic: Climate variability and models

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: hybrid

Estimated APC paid: $3,310