Response of Upper Ocean during passage of MALA cyclone utilizing ARGO data

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Abstract

In the present study an attempt has been made to study the response of the upper ocean atmospheric interactions during the passage of a very severe cyclonic storm (VSCS) ‘MALA’ formed over the Bay of Bengal (BoB) on 24 April 2006. Deepening of mixed layer depth (MLD), weakening of barrier layer thickness (BLT) associated with a deeper 26 °C isotherm level (D26) is observed after the MALA passage. Tropical cyclone heat potential (TCHP) and depth averaged temperature (T100¯) exhibit a good degree of correlation for higher values. The passage of MALA cyclone also resulted in cooling the sea surface temperature (SST) by 4–5 °C. The findings suggest that turbulent and diapycnal mixing are responsible for cooler SSTs. Turbulent air–sea fluxes are analyzed using Objectively Analyzed air–sea Fluxes (OAFlux) daily products. During the mature stage of MALA higher latent heat flux (LHF), sensible heat flux (SHF), and enthalpy (LHF + SHF) are observed in the right side of this extreme event.

Highlights

► Maximum precipitation accumulated in the left side of the MALA cyclone. ► Turbulent, diapycnal mixing play role in sea-surface cooling and deepening of MLD. ► High enthalpy occur on the right side of the track of MALA cyclone.

Introduction

Tropical cyclones are considered as one of the major natural hazards which inflict severe threat to human life and property having implications on socio-economic aspects in the affected regions. It is considered as the most intense case in air–sea interaction studies where energy from the warm ocean waters is supplied through surface heat flux (Emanuel, 1986). In a previous study (Emanuel, 1999) used a simple numerical model to demonstrate the evolution of hurricane intensity. The results advocate that in most cases the intensity depends on three factors viz.; initial intensity of cyclone, the thermodynamic state of atmosphere through which the cyclone propagate, and finally the heat exchange with the upper layer of the ocean underlying the core of the cyclone. The size of a tropical cyclone can vary from about 200 to 500 km during its entire life cycle (Liu and Chan, 1999). The primary mechanism that lowers the SST beneath a moving cyclone is accountable due to entrainment by turbulent mixing of irreversible heat flux from the ocean mixed layer, whereas air–sea heat exchange plays a minor role. In case of a slow moving cyclone, upwelling can significantly affect the SST, which is however reported negligible for fast moving cyclones (Price, 1981). Vertical mixing at the base of the mixed layer (ML) is another contribution for the upper ocean cooling (Black, 1983). In this context, Mahapatra et al. (2007) found the shift of the maximum sea surface cooling on the left side of the track prior to landfall. From observational support (Bender et al., 1993) it can be seen that magnitude of sea surface cooling (high, medium, and slow) depends upon the speed the cyclone (slow, medium, and fast). The response of ocean to cyclone utilizing numerical model for the Orissa super cyclone event was investigated by Rao et al. (2007). They found an inverse relationship between the sea surface cooling and translation speed.

In recent years, satellite observations have been widely used in understanding the upper ocean response to tropical cyclones (e.g. Lin et al., 2003, Goni and Trinanes, 2003). Subrahmanyam et al. (2005) utilized satellite and model simulated data to examine the thermal, salinity and circulation responses of the upper ocean during severe cyclone passage over the Bay of Bengal (BoB) and Arabian Sea (AS). It was reported that SST cooling is more in the AS compared to BoB due to contrasting hydrographic features viz. salinity stratification and associated mixing processes. High resolution SST data from TRMM satellite revealed that for pre-monsoon tropical cyclone tracks, the SST cools by 3 °C in the north Indian Ocean. Interestingly the strongest post-monsoon cyclones do not cool the north BoB, attributable due to shallow layer of freshwater layer from river runoff and torrential rainfall (Sengupta et al., 2008). In another study, Lin et al. (2009) used in situ ocean temperature measurements and satellite altimetry products to address the critical issue of rapid intensification of NARGIS cyclone (defined as ≥30 kts intensification in 24 h) just prior to the land fall. The implementation of international ARGO project is very useful to understand the variability and distribution of important air sea exchange parameters, viz. sea surface heat flux, freshwater storage, and transport during the passage of the tropical cyclone. Three dimensional temperature and salinity fields from ARGO floats are utilized to understand the upper ocean response to tropical cyclones in the northwestern Pacific by Liu et al. (2007) who examined dependence of the deepening in MLD, cooling of mixed layer temperature (MLT), and freshening of mixed layer salinity (MLS). In a recent study, Prasad et al. (2009) analyzed the water properties and geostrophic currents in Fiji waters during tropical cyclone GENE passage utilizing ARGO and satellite data. After the vaning away of GENE, thermocline depth was found to increase by 20 m, temperature drop by 3 °C and salinity profiles of 0.42 psu to a depth of 35 m were reported. Ramesh Kumar and Byju (2010) conducted a multi-sensor study to understand the formation of a cyclone over North Indian Ocean.

Park et al. (2005) studied the upper ocean response during typhoon passage and found high correlation between MLT and SST in the northern Pacific. In the present study an attempt has been made to understand the upper ocean atmospheric interactions and associated air–sea fluxes during the passage of MALA cyclone over the Bay of Bengal.

Section snippets

MALA cyclone

Tropical cyclone MALA was considered as one of the strongest cyclones in the year 2006 over the north Indian Ocean cyclone season. MALA cyclone developed as a depression over the southeast Bay of Bengal during 00 UTC 24 April 2006, and turned into a deep depression near 10°N/89.6°E at 06UTC on April 25. It traveled northwestward transforming into a cyclonic storm on 00UTC 26 April having a central pressure of 994 hPa and maximum sustained surface wind of about 80 km h−1.

Over the central Bay of

Data

The message files of cyclone track for MALA and relevant information of cyclonic storm were obtained from the India Meteorological Department (IMD) and Joint Typhoon Warning Center (JTWC) tropical cyclone best track data site. Tropical Rainfall Measuring Mission (TRMM) accumulated Precipitation data corresponding to before, during, and after the MALA event were obtained from the NASA web site (http://disc2.nascom.nasa.gov/Giovanni/tovas). To evaluate the feedback mechanism between ocean and

Estimation of mixed layer depth

A variable density criteria is chosen for the determination of MLD as proposed by Kara et al. (2000) wherein MLD is constructed using density variability (Δσt) determined from the corresponding temperature change ΔT (0.8 °C) in the equation of state. The following relation is used in estimation of MLD:Δσt=σt(T+ΔT,S,P)σt(T,S,P)where T, S, and P corresponds to temperature, salinity and pressure at the surface.

The isothermal layer depth (ILD) was determined from the temperature based criteria,

Results and discussions

The scope of this work is limited to the ocean-atmospheric interactions of MALA cyclone under different phases of its life cycle. The variability of temperature, salinity profiles, and their corresponding MLD, BL, D26 are discussed in Section 5.1. The upper ocean thermal structure, i.e. TCHP and T100¯ changes and its consequences are discussed in Section 5.2. The spatial distribution of OAFlux products viz. LHF, SHF, and, enthalpy are discussed in Section 5.3.

Summary

The response of Upper Ocean during MALA cyclone passage was analyzed using available ARGO floats. From the results obtained it can be summarized that deepening of MLD of ∼30 m, decaying of BL, deeper 26 °C isotherm level of ∼90 m, near surface cooling of 1 °C, and increase of near surface salinity by 1 psu were observed in the southern quadrant (both along left and right side of the track). These observations are consistent with the report of Badarinath et al. (2009) based on satellite measurements.

Acknowledgments

We express our gratitude to Indian National Centre for Ocean Information Services (INCOIS) and ARGO community, for providing ARGO data. We are also thankful to WHOI OAFlux project for open access of ftp. We are thankful to the India Meteorology Department and JTWC for the track and description of system. Mr. Naresh Krishna Vissa, would like to acknowledge the Council of Scientific and Industrial Research (CSIR), New Delhi, for the funding of his research and to Indian Institute of Technology

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