Analysis and Simulations for the Severe Turbulence Event Aloft Myanmar on 21 May 2024

ABSTRACT A severe turbulence event was encountered by Singapore airlines SQ321 on 21 May 2024 over Myanmar which led to one fatality and multiple injuries. Analysis of ADS‐B data indicated the event happen during the cruising phase of flight over the Irrawaddy Delta, Myanmar. Fluctuations in the vertical speed induced large vertical acceleration and indicated a severe magnitude of aviation turbulence. A study on the satellite and lightning data hinted that the turbulence was likely related to convectively induced turbulence on the downwind side of developing convective clouds. Simulation using Model for Prediction Across Scales (MPAS) with convective permitting resolution indicated the development of convective cells along the coast, moderate turbulence with Eddy Dissipation Rate (EDR) over 0.2 was simulated a couple of hours ahead, but its embedded as small scattered areas within the clouds. The precise location of severe turbulence are still difficult to simulate due to the stochastic nature of turbulence. The seamless blended forecast for significant convection and deep learning model utilising high‐pass filtered satellite imageries indicated the growth of convective activity and the presence of convectively induced turbulence in the region. The analysis suggested the importance for having forecasts products showing indication for rapid convective development, which is closely related to convectively induced turbulence or near cloud turbulence. The utilisation of these products within the operations of flights could better safeguard aviation safety.

Authors

Institutions

Publication Details

Journal
Meteorological Applications
Published
2025-05-01
DOI
https://doi.org/10.1002/met.70058
Citations
1
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
1.30

Funders

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

Analysis and Simulations for the Severe Turbulence Event Aloft Myanmar on 21 May 2024

Pak Wai Chan, Xiaoming Shi, Ping Cheung, Christy Yan-Yu Leung et al.
1 citations
Meteorological Applications
Tropical and Extratropical Cyclones Research
1.30
article

Analysis and Simulations for the Severe Turbulence Event Aloft Myanmar on 21 May 2024

Pak Wai Chan, Xiaoming Shi, Ping Cheung, Christy Yan-Yu Leung, Haoming Chen
article en
1 citations

Abstract

ABSTRACT A severe turbulence event was encountered by Singapore airlines SQ321 on 21 May 2024 over Myanmar which led to one fatality and multiple injuries. Analysis of ADS‐B data indicated the event happen during the cruising phase of flight over the Irrawaddy Delta, Myanmar. Fluctuations in the vertical speed induced large vertical acceleration and indicated a severe magnitude of aviation turbulence. A study on the satellite and lightning data hinted that the turbulence was likely related to convectively induced turbulence on the downwind side of developing convective clouds. Simulation using Model for Prediction Across Scales (MPAS) with convective permitting resolution indicated the development of convective cells along the coast, moderate turbulence with Eddy Dissipation Rate (EDR) over 0.2 was simulated a couple of hours ahead, but its embedded as small scattered areas within the clouds. The precise location of severe turbulence are still difficult to simulate due to the stochastic nature of turbulence. The seamless blended forecast for significant convection and deep learning model utilising high‐pass filtered satellite imageries indicated the growth of convective activity and the presence of convectively induced turbulence in the region. The analysis suggested the importance for having forecasts products showing indication for rapid convective development, which is closely related to convectively induced turbulence or near cloud turbulence. The utilisation of these products within the operations of flights could better safeguard aviation safety.

Meteorological ApplicationsVol. 32(3)
Hong Kong University of Science and Technology (HK), Hong Kong Observatory (CN)
World Meteorological Organization, Hong Kong University of Science and Technology, National Supercomputing Center, Korea Institute of Science and Technology Information
Openalex Percentile: Top 22%
Tropical and Extratropical Cyclones Research
1.30
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.