Unified Forecast System Prediction of the Madden‐Julian Oscillation and Its Influence on East Pacific During Boreal Summer

Abstract This study evaluates the subseasonal‐to‐seasonal (S2S) prediction skill of the Madden‐Julian Oscillation (MJO) and its impacts on the east Pacific (EP) tropical cyclogenesis in the Unified Forecast System (UFS) during boreal summer (May–October). Utilizing four experimental versions, Prototypes 5–8, the study finds that although the UFS generally captures the MJO's propagation characteristics near the initialization time, it encounters difficulty in accurately predicting the propagation speed and decay rate of the MJO beyond 15 days. Specifically, the phase transition rate of the MJO in the UFS is slower than observed, although this behavior is improved in Prototype 8. The UFS overestimates intraseasonal east Pacific genesis potential index anomalies as a function of the MJO phase. Analysis of the vertically integrated moist static energy (MSE) budget reveals that all four UFS prototypes underestimate the damping effect of vertical MSE advection and the amplifying effect of longwave radiative heating, indicating weaknesses in tropical convective parameterization and cloud radiative feedbacks, although these biases are somewhat improved in Prototype 8. These deficiencies result in less efficient vertical MSE export, weaker damping of MJO convection, slow MJO propagation, and delayed MJO's impacts on the EP. Thus, improving the UFS's ability to simulate MJO propagation and maintenance processes is crucial for better predicting the MJO's effects on EP TC genesis and enhancing S2S forecast capability for MJO‐modulated TC activity.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-09-24
DOI
https://doi.org/10.1029/2024jd042904
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unified Forecast System Prediction of the Madden‐Julian Oscillation and Its Influence on East Pacific During Boreal Summer

Suzana J. Camargo, Yu‐Cian Tsai, Eric Daniel Maloney, Daehyun Kim
Journal of Geophysical Research Atmospheres
Climate variability and models
article

Unified Forecast System Prediction of the Madden‐Julian Oscillation and Its Influence on East Pacific During Boreal Summer

Suzana J. Camargo, Yu‐Cian Tsai, Eric Daniel Maloney, Daehyun Kim
article en

Abstract

Abstract This study evaluates the subseasonal‐to‐seasonal (S2S) prediction skill of the Madden‐Julian Oscillation (MJO) and its impacts on the east Pacific (EP) tropical cyclogenesis in the Unified Forecast System (UFS) during boreal summer (May–October). Utilizing four experimental versions, Prototypes 5–8, the study finds that although the UFS generally captures the MJO's propagation characteristics near the initialization time, it encounters difficulty in accurately predicting the propagation speed and decay rate of the MJO beyond 15 days. Specifically, the phase transition rate of the MJO in the UFS is slower than observed, although this behavior is improved in Prototype 8. The UFS overestimates intraseasonal east Pacific genesis potential index anomalies as a function of the MJO phase. Analysis of the vertically integrated moist static energy (MSE) budget reveals that all four UFS prototypes underestimate the damping effect of vertical MSE advection and the amplifying effect of longwave radiative heating, indicating weaknesses in tropical convective parameterization and cloud radiative feedbacks, although these biases are somewhat improved in Prototype 8. These deficiencies result in less efficient vertical MSE export, weaker damping of MJO convection, slow MJO propagation, and delayed MJO's impacts on the EP. Thus, improving the UFS's ability to simulate MJO propagation and maintenance processes is crucial for better predicting the MJO's effects on EP TC genesis and enhancing S2S forecast capability for MJO‐modulated TC activity.

Journal of Geophysical Research AtmospheresVol. 130(18)
Seoul National University (KR), Lamont-Doherty Earth Observatory (US), Columbia University (US), Colorado State University (US)
National Oceanic and Atmospheric Administration
Openalex Percentile: Top 76%
Climate variability and models
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.