Javascript must be enabled to continue!
Intensification of Pre-Monsoon Cyclone: Insights from spring snowmelt discharge
View through CrossRef
Abstract
The intensification of pre-monsoon cyclones in the northern Bay of Bengal, particularly Cyclones Yaas (2021), is increasingly attributed to the rising influx of snowmelt water from the Ganges and Brahmaputra rivers. Cyclone Yaas intensified over high sea surface temperatures (31.5 to 32°C) and significant freshwater discharge, leading to notable stratification and increased ocean heat content in the upper layers. As Yaas moved through a warm core eddy, the sinking of water caused the isotherms to deepen by 25–50 meters, a process that was further intensified by freshwater discharge due to spring snowmelt. Key ocean heat content in the top 30-meter layer was critical during Yaas's formation, with total incoming shortwave radiation of 420 W/m² and net radiation of 390 W/m² closely aligning with the heat content of 400 W/m² in the central and western Bay, providing the necessary energy for intensification. This study employs integrated datasets, including in situ observations, ERA5-based freshwater flux analysis, and high-resolution numerical simulations, to reveal cyclone-ocean interactions. Findings indicate that similar snowmelt dynamics contributed to the intensification of recent cyclones. With the rising temperatures due to global warming, even minor changes in increasing snowmelt and surface runoff can significantly affect upper ocean dynamics. This highlights the critical role of pre-monsoon freshwater discharge in strengthening cyclones and emphasises the need for better prediction models to understand future cyclone behavior, which can help reduce risks in this vulnerable region. Additionally, in terms of biological processes, the increased fresh water discharge during spring in the northern Bay of Bengal caused high stratification and intense downwelling, which suppressed nutrient-rich subsurface waters and resulted in limited chlorophyll concentrations (1 mg/m³) along Yaas's track, despite phytoplankton blooms in regions of high wind stress.
Springer Science and Business Media LLC
Title: Intensification of Pre-Monsoon Cyclone: Insights from spring snowmelt discharge
Description:
Abstract
The intensification of pre-monsoon cyclones in the northern Bay of Bengal, particularly Cyclones Yaas (2021), is increasingly attributed to the rising influx of snowmelt water from the Ganges and Brahmaputra rivers.
Cyclone Yaas intensified over high sea surface temperatures (31.
5 to 32°C) and significant freshwater discharge, leading to notable stratification and increased ocean heat content in the upper layers.
As Yaas moved through a warm core eddy, the sinking of water caused the isotherms to deepen by 25–50 meters, a process that was further intensified by freshwater discharge due to spring snowmelt.
Key ocean heat content in the top 30-meter layer was critical during Yaas's formation, with total incoming shortwave radiation of 420 W/m² and net radiation of 390 W/m² closely aligning with the heat content of 400 W/m² in the central and western Bay, providing the necessary energy for intensification.
This study employs integrated datasets, including in situ observations, ERA5-based freshwater flux analysis, and high-resolution numerical simulations, to reveal cyclone-ocean interactions.
Findings indicate that similar snowmelt dynamics contributed to the intensification of recent cyclones.
With the rising temperatures due to global warming, even minor changes in increasing snowmelt and surface runoff can significantly affect upper ocean dynamics.
This highlights the critical role of pre-monsoon freshwater discharge in strengthening cyclones and emphasises the need for better prediction models to understand future cyclone behavior, which can help reduce risks in this vulnerable region.
Additionally, in terms of biological processes, the increased fresh water discharge during spring in the northern Bay of Bengal caused high stratification and intense downwelling, which suppressed nutrient-rich subsurface waters and resulted in limited chlorophyll concentrations (1 mg/m³) along Yaas's track, despite phytoplankton blooms in regions of high wind stress.
Related Results
Analisis Penggunaan Variasi Turbo Cyclone Terhadap Performa Kendaraan
Analisis Penggunaan Variasi Turbo Cyclone Terhadap Performa Kendaraan
Penelitian ini dilatar belakangi banyaknya kendaraan dengan usia pakai dan pola perawatan yang tidak rutin yang berakibat turunannya performa dan emisi yang meningkat. Penelitian i...
Assessment of water quality of the Dhuppani waterfall and its advantages for the inhabitants of the Rangamati Hill Tracts, Bangladesh
Assessment of water quality of the Dhuppani waterfall and its advantages for the inhabitants of the Rangamati Hill Tracts, Bangladesh
The present investigation aimed to evaluate seasonal fluctuations in water quality parameters of the Dhuppani waterfall, located in Rangamati, Bangladesh, with the goal of supporti...
Spatiotemporal variations of isotopes in snow and snowmelt in the subarctic setting at Pallas catchment, Finland
Spatiotemporal variations of isotopes in snow and snowmelt in the subarctic setting at Pallas catchment, Finland
<p>Due to the rise in global temperature, changes in precipitation patterns are predicted particularly in Arctic regions. Such changes in patterns and modifications i...
Upper Ocean Response Mechanisms to Pre-Monsoon and Post-Monsoon Cyclones in the Bay of Bengal
Upper Ocean Response Mechanisms to Pre-Monsoon and Post-Monsoon Cyclones in the Bay of Bengal
Tropical cyclones are intense and frequent natural hazards in the Bay of Bengal (BoB), leading to substantial losses of life and property along coastal areas. Understanding the sea...
The Monsoon as a Hydrological Capacitor: Memory Effects and Interannual Variability
The Monsoon as a Hydrological Capacitor: Memory Effects and Interannual Variability
The monsoon plays a very important role in controlling water availability over land, especially in regions like South Asia. While monsoon rainfall is often studied as a seasonal ev...
What Made the Sustained Intensification of Tropical Cyclone Fani in the Bay of Bengal? An Investigation Using Coupled Atmosphere–Ocean Model
What Made the Sustained Intensification of Tropical Cyclone Fani in the Bay of Bengal? An Investigation Using Coupled Atmosphere–Ocean Model
The extremely severe tropical cyclone Fani (25 April–5 May 2019) unusually sustained high intensity for a prolonged duration over the Bay of Bengal (BoB). A regional coupled atmosp...
A Machine Learning-Based Tropical Cyclone Precipitation Simulation in China
A Machine Learning-Based Tropical Cyclone Precipitation Simulation in China
Heavy precipitation is a major hazard associated with tropical cyclones, often causing substantial economic losses and casualties through secondary disasters such as floods, landsl...
Antecedents for the Shapiro–Keyser Cyclone Model in the Bergen School Literature
Antecedents for the Shapiro–Keyser Cyclone Model in the Bergen School Literature
AbstractTwo widely accepted conceptual models of extratropical cyclone structure and evolution exist: the Norwegian and Shapiro–Keyser cyclone models. The Norwegian cyclone model w...

