Propagation of the Madden-Julian oscillation as a deterministic chaotic phenomenon

The Madden-Julian oscillation (MJO) is a planetary-scale tropical weather disturbance marked by eastward-propagating cumulus cloud clusters over the Indo-Pacific region, causing severe weather and climate events worldwide. The mechanism and predictability of MJO propagation remain elusive, partly because relevant multiscale processes are poorly understood. Here, we reveal chaotic MJO propagation arising from cross-scale nonlinear interactions, based on 4000-member ensemble simulations of two MJO events with a global cloud-system-resolving model. Against conventional linear thinking, multiple regimes with distinct timings of MJO propagation emerge under a single atmosphere-ocean background. The emergence of regime bifurcation depends critically on the equatorial asymmetry of climatological sea surface temperature. Selection of the bifurcated regimes is probabilistic, influenced by whether tropical-extratropical interplay promotes moistening associated with westward-propagating tropical waves over the western Pacific. These results contribute to a more complete MJO conceptual model and help foresee when coherent MJO propagation emerges.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2026-02-18
DOI
https://doi.org/10.1126/sciadv.adz1916
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
36.62
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Propagation of the Madden-Julian oscillation as a deterministic chaotic phenomenon

Tamaki Suematsu, Daisuke Takasuka, Hiroaki Miura, Masuo Nakano
1 citations
Science Advances
Climate variability and models
36.62
article

Propagation of the Madden-Julian oscillation as a deterministic chaotic phenomenon

Tamaki Suematsu, Daisuke Takasuka, Hiroaki Miura, Masuo Nakano
article en
1 citations

Abstract

The Madden-Julian oscillation (MJO) is a planetary-scale tropical weather disturbance marked by eastward-propagating cumulus cloud clusters over the Indo-Pacific region, causing severe weather and climate events worldwide. The mechanism and predictability of MJO propagation remain elusive, partly because relevant multiscale processes are poorly understood. Here, we reveal chaotic MJO propagation arising from cross-scale nonlinear interactions, based on 4000-member ensemble simulations of two MJO events with a global cloud-system-resolving model. Against conventional linear thinking, multiple regimes with distinct timings of MJO propagation emerge under a single atmosphere-ocean background. The emergence of regime bifurcation depends critically on the equatorial asymmetry of climatological sea surface temperature. Selection of the bifurcated regimes is probabilistic, influenced by whether tropical-extratropical interplay promotes moistening associated with westward-propagating tropical waves over the western Pacific. These results contribute to a more complete MJO conceptual model and help foresee when coherent MJO propagation emerges.

Science AdvancesVol. 12(8)
Japan Agency for Marine-Earth Science and Technology (JP), Yokohama National University (JP), Tohoku University (JP), RIKEN Center for Computational Science (JP), The University of Tokyo (JP)
Climate action, Life below water
Openalex Percentile: Top 1%
Climate variability and models
36.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Propagation of the Madden-Julian oscillation as a deterministic chaotic phenomenon — Tamaki Suematsu, Daisuke Takasuka, et al. · Science Advances (2026) | TGRS Research Map | TGRS