Interseasonal Difference in MJO Propagation during the Extended Boreal Winter: Observations and Climate Model Simulations

Abstract This study investigates climatological interseasonal changes in the Madden–Julian oscillation (MJO)’s propagation diversity using observational data and climate model simulations, with a particular focus on the role of the mean state. In observations, the ratio of the relative frequency of the fast-propagating MJO to that of the slow-propagating MJO shows notable changes from winter to early spring, with a significantly higher ratio during March–April (MA) than during November–February (NDJF). Column-integrated moisture budget analysis reveals that moisture recharge and discharge around the Maritime Continent, which drive the MJO’s eastward propagation, are stronger in MA, with zonally broader and stronger positive moisture tendency to the east of enhanced convection. Further analysis shows that stronger zonal moisture advection is responsible for the enhanced moistening in MA, which differs from NDJF, largely due to the steeper background zonal moisture gradient. The interseasonal difference in the moisture gradient between MA and NDJF appears to be associated with the Australian monsoon. Among the global climate models analyzed, those that better capture the interseasonal changes in zonal moisture gradients around the Maritime Continent tend to also better simulate the interseasonal difference between MA and NDJF in the relative frequency of slow- and fast-propagating MJOs. The model bias in the mean state moisture gradient seems to be caused by a delayed phase transition of the Australian monsoon. Our results suggest that reducing these biases can enhance model performance in simulating the interseasonal changes in the MJO propagation characteristics.

Authors

Institutions

Publication Details

Journal
Journal of Climate
Published
2025-09-04
DOI
https://doi.org/10.1175/jcli-d-25-0097.1
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interseasonal Difference in MJO Propagation during the Extended Boreal Winter: Observations and Climate Model Simulations

Seok‐Woo Son, Seung‐Yoon Back, Daehyun Kang, Daehyun Kim
1 citations
Journal of Climate
Climate variability and models
1.11
article

Interseasonal Difference in MJO Propagation during the Extended Boreal Winter: Observations and Climate Model Simulations

Seok‐Woo Son, Seung‐Yoon Back, Daehyun Kang, Daehyun Kim
article en
1 citations

Abstract

Abstract This study investigates climatological interseasonal changes in the Madden–Julian oscillation (MJO)’s propagation diversity using observational data and climate model simulations, with a particular focus on the role of the mean state. In observations, the ratio of the relative frequency of the fast-propagating MJO to that of the slow-propagating MJO shows notable changes from winter to early spring, with a significantly higher ratio during March–April (MA) than during November–February (NDJF). Column-integrated moisture budget analysis reveals that moisture recharge and discharge around the Maritime Continent, which drive the MJO’s eastward propagation, are stronger in MA, with zonally broader and stronger positive moisture tendency to the east of enhanced convection. Further analysis shows that stronger zonal moisture advection is responsible for the enhanced moistening in MA, which differs from NDJF, largely due to the steeper background zonal moisture gradient. The interseasonal difference in the moisture gradient between MA and NDJF appears to be associated with the Australian monsoon. Among the global climate models analyzed, those that better capture the interseasonal changes in zonal moisture gradients around the Maritime Continent tend to also better simulate the interseasonal difference between MA and NDJF in the relative frequency of slow- and fast-propagating MJOs. The model bias in the mean state moisture gradient seems to be caused by a delayed phase transition of the Australian monsoon. Our results suggest that reducing these biases can enhance model performance in simulating the interseasonal changes in the MJO propagation characteristics.

Journal of ClimateVol. 38(22)
Seoul National University (KR), New Generation University College (ET), Korea Institute of Science and Technology (KR)
Openalex Percentile: Top 20%
Climate variability and models
1.11
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.