The variability and predictability of summer southwest monsoon intensity measurement index across mainland indochina: from local synoptic to large scale perspectives

Abstract The mainland Indochina Southwest Monsoon (MSwM) is a crucial climatic phenomenon in Southeast Asia, significantly influencing the climate of countries such as Myanmar, Bangladesh, Thailand, Laos, and Southwest China. Traditionally, the intensity of the MSwM has been challenging to quantify due to its complex nature. This study introduces a new Southwest Monsoon Intensity Index (SMII), based on sea level pressure (SLP), which offers a more comprehensive understanding of the monsoon’s intraseasonal to interannual variability and its associated climate anomalies. The SMII is designed to overtake the limitations of local indices, which often rely on data from only two costal stations and may lack the resolution necessary for seasonal outlooks or long-term forecast modeling. By considering both south-north and west-east annual dominant pressure field gradients, the SMII provides a more robust measure of monsoon intensity. This large-scale index is influenced by key pressure systems, such as the Tibet Low and the Mascarenes High, and is characterized by the movement of a concentrated north-south rain belt and a quasi-stationary low-level jet. Our analysis reveals strong correlations between the SMII and regional rainfall patterns, particularly during the peak intensity of the summer months. Additionally, significant associations with El Niño Southern Oscillation (ENSO) indices and the eastern Indian Ocean suggest potential teleconnections, which can enhance predictive capabilities. This improved index is crucial for operational climate centers to monitor and predict monsoon behavior effectively, ultimately aiding in the forecasting and managing the MSwM’s socio-economic impacts.

Authors

Institutions

Publication Details

Journal
Environmental Research Communications
Published
2024-09-27
DOI
https://doi.org/10.1088/2515-7620/ad8107
Citations
4
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The variability and predictability of summer southwest monsoon intensity measurement index across mainland indochina: from local synoptic to large scale perspectives

Yinshuo Dong, Kyaw Than Oo, Jonah Kazora
4 citations
Environmental Research Communications
Solar Radiation and Photovoltaics
1.39
article

The variability and predictability of summer southwest monsoon intensity measurement index across mainland indochina: from local synoptic to large scale perspectives

Yinshuo Dong, Kyaw Than Oo, Jonah Kazora
article en
4 citations

Abstract

Abstract The mainland Indochina Southwest Monsoon (MSwM) is a crucial climatic phenomenon in Southeast Asia, significantly influencing the climate of countries such as Myanmar, Bangladesh, Thailand, Laos, and Southwest China. Traditionally, the intensity of the MSwM has been challenging to quantify due to its complex nature. This study introduces a new Southwest Monsoon Intensity Index (SMII), based on sea level pressure (SLP), which offers a more comprehensive understanding of the monsoon’s intraseasonal to interannual variability and its associated climate anomalies. The SMII is designed to overtake the limitations of local indices, which often rely on data from only two costal stations and may lack the resolution necessary for seasonal outlooks or long-term forecast modeling. By considering both south-north and west-east annual dominant pressure field gradients, the SMII provides a more robust measure of monsoon intensity. This large-scale index is influenced by key pressure systems, such as the Tibet Low and the Mascarenes High, and is characterized by the movement of a concentrated north-south rain belt and a quasi-stationary low-level jet. Our analysis reveals strong correlations between the SMII and regional rainfall patterns, particularly during the peak intensity of the summer months. Additionally, significant associations with El Niño Southern Oscillation (ENSO) indices and the eastern Indian Ocean suggest potential teleconnections, which can enhance predictive capabilities. This improved index is crucial for operational climate centers to monitor and predict monsoon behavior effectively, ultimately aiding in the forecasting and managing the MSwM’s socio-economic impacts.

Environmental Research CommunicationsVol. 7(1)
Nanjing University of Information Science and Technology (CN), Ministry of Education (BD)
Climate action
Openalex Percentile: Top 15%
Solar Radiation and Photovoltaics
1.39
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.