Monsoonal intraseasonal oscillations in the ocean heat content over the surface layers of the Bay of Bengal

Krishnamurti, T. N.; Jana, Sudip; Krishnamurti, Ruby; Kumar, Vinay; Deepa, R.; Papa, Fabrice; Bourassa, Mark A.; Ali, M. M.

doi:10.1016/j.jmarsys.2016.11.002

Cited by 21 publications

(21 citation statements)

References 30 publications

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“…By day +5, a northward propagating branch of the enhanced convective cell moves into the BoB and continues to propagate northward into the BoB through day +15. This northward propagating cell is representative of the MISO and has both a 15-30-day mode and a 30-60-day mode (Krishnamurti et al, 2017;Lawrence & Webster, 2002;Sharmila et al, 2013;Suhas et al, 2013;B. Wang & Xie, 1997).…”

Section: Intraseasonal Oscillations (30-90 Days)mentioning

confidence: 99%

“…There are several ISOs that operate on different timescales, the most prominent being the 30-90-day, the 10-20-day, and the 3-7-day oscillations (Goswami et al, 1998(Goswami et al, , 2003Pillai & Chowdary, 2016). The 30-90-day mode commonly describes the Madden-Julian Oscillation (MJO), with a northward propagating phase referred to as either the monsoon intraseasonal oscillation (MISO) or boreal summer intraseasonal oscillation (BSISO; Ajayamohan et al, 2011;Girishkumar et al, 2017;Krishnamurti et al, 2017;Madden & Julian, 1971;Wheeler & Hendon, 2004;Zhang, 2005). The 10-20-day mode, or quasibiweekly oscillation, is a westward propagating system over the Bay of Bengal (BoB) and equatorial Indian Ocean (Chatterjee & Goswami, 2004; Kikuchi & Wang, 2009;Murakami, 1976;Roman-Stork et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…As the MJO and MISO are primarily atmospheric phenomena, the overwhelming majority of research has gone into understanding the related atmospheric dynamics and how the MJO impacts other atmospheric processes, such as tropical cyclones (Sobel & Maloney, 2000). In recent years, however, there has been an increased interest into how the ocean impacts MJO initiation and propagation, as well as the impact both the MJO and MISO have on the ocean (Chen et al, 2017;Cheng et al, 2013;Krishnamurti et al, 2017;Matthews, 2008;Straub, 2013;Vecchi & Harrison, 2002;Webber et al, 2010Webber et al, , 2012. Webber et al (2012) found the triggering mechanism for MJO initiation in the western Indian Ocean to be a highly coupled process.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Intraseasonal Oscillations in the Indian Ocean Using Satellite Observations

2020

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Intraseasonal oscillations (ISOs) in the Indian Ocean play a significant role in determining the active (wet) and break (dry) cycles of the southwest monsoon rainfall. In this study, we use satellite‐derived precipitation, sea level anomalies (SLAs), sea surface salinity (SSS), sea surface temperature, and surface winds to monitor the 30‐90‐day, 10‐20‐day, and 3‐7‐day ISOs, and how they influence local dynamics. The main focus of this work, however, is showing the importance of using SLA and SSS to monitor ISOs. Mixed Rossby gravity waves were found to induce convection associated with the southern cell of the 10‐20‐day mode, with surface winds from the northern cell modulating coastal Kelvin waves in the Bay of Bengal. The 10‐20‐day SSS response is instead more closely related to wind‐induced upwelling in the central Bay of Bengal and river runoff in the northern Bay. The 3‐7‐day mode was found to have a weak oceanic signal, as the monsoon trough is mainly positioned over land, though SSS captured the structure of the signal most clearly. This study highlights the need for high spatial resolution SLA in order to adequately capture 3‐7‐day oscillations in the monsoon trough.

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Section: Intraseasonal Oscillations (30-90 Days)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monitoring Intraseasonal Oscillations in the Indian Ocean Using Satellite Observations

2020

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“…The changes in TCHP primarily depend on factors such as the TC intensity (Shay et al, 2000;Knaff et al, 2013;Yan et al, 2017), translational speed (Lin et al, 2009b;Mei et al, 2012;Vincent et al, 2012), and seasonality (Krishnamurti et al, 2017;Busireddy et al, 2018). Therefore, additional analyses are carried out with respect to the season of formation, intensity, and translation speed.…”

Section: Tchpa Composite Structuresmentioning

confidence: 99%

“…Due to its high relevance to the formation of the TC, the heat content is referred to as the tropical cyclone heat potential (TCHP) in the literature (Leipper and Volgenau, 1972;Goni and Trinanes, 2003;Busireddy et al, 2018). Many recent studies discuss the significance of the TCHP in the TC movement and intensity evolution (Goni and Trinanes, 2003;Lin et al, 2009a;Krishnamurti et al, 2017;Yan et al, 2017). , for example, described that the pre-existing TCHP of 77-105 kJ/cm 2 was responsible for the TC Nargis rapid intensification process over the BoB.…”

Section: Introductionmentioning

confidence: 99%

The response of ocean parameters to tropical cyclones in the Bay of Bengal

Busireddy

Ankur

Osuri

et al. 2019

Quart J Royal Meteoro Soc

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The Bay of Bengal (BoB) exhibits notable seasonal variations in tropical cyclone heat potential (TCHP), barrier layer thickness (BLT) and sea‐surface temperature (SST). These parameters also undergo profound changes in the presence of tropical cyclones (TCs). The composite structures of these ocean parameters as a function of the season of TC formation, intensity, and translation speed are unknown and are developed in the present study. Composite structures are examined based on 1,222 instantaneous samples from 83 TCs during 2003–2016 using INCOIS‐GODAS analyses. A BLT of 10–30 m and TCHP of 40–80 kJ/cm2 favours TC intensification in the central BoB. The multivariate regression of BLT and TCHP appears to be better for TC intensity up to 64 knots and is highly underestimated for the stronger TCs (>64 knots). The TC right‐rear sector experiences significant changes in TCHP anomaly (TCHPA) as the intensity increases. The TCHPA ranges ∼10–15, ∼20–25 and ∼25–30 kJ/cm2 when a TC is at Cyclone Storm (CS), Severe Cyclonic Storm (SCS) and Very SCS (VSCS) stages respectively. The maximum TCHPA is generally aligned along the TC track during the post‐monsoon season. Slow‐moving TCs produce maximum TCHPA cooling of ∼20 kJ/cm2 within 250 km storm radius in the rear sector, while it is less and away from the storm centre for normal and fast‐movers. The seasonal changes showed opposite relations between BLT and TCHP from pre‐ to post‐monsoon seasons during the TC intensification. TC‐induced SST cooling is maximum (∼0.5–1.2 °C) in the inner core for the strong (VSCS and above) and slow‐moving TCs. The cooling decreases with an increase in the translation speed and is more pronounced in the pre‐monsoon season. This study provides a baseline to verify and understand the limitations of the models, and also develop a climatological perspective of BoB TCs.

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Monsoon depressions and air-sea interactions during different phases of monsoon intraseasonal oscillation

Ray

Sil

2022

Clim Dyn

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Monsoonal intraseasonal oscillations in the ocean heat content over the surface layers of the Bay of Bengal

Cited by 21 publications

References 30 publications

Monitoring Intraseasonal Oscillations in the Indian Ocean Using Satellite Observations

Monitoring Intraseasonal Oscillations in the Indian Ocean Using Satellite Observations

The response of ocean parameters to tropical cyclones in the Bay of Bengal

Monsoon depressions and air-sea interactions during different phases of monsoon intraseasonal oscillation

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