Abstract

Abstract Sea surface temperature (SST) in the southwestern tropical Indian Ocean exerts a significant influence on global climate through its influence on the Indian summer monsoon and Northern Hemisphere atmospheric circulation. In this study, measurements from a long-term moored buoy are used in conjunction with satellite, in situ, and atmospheric reanalysis datasets to analyze the seasonal mixed layer heat balance in the thermocline ridge region of the southwestern tropical Indian Ocean. This region is characterized by a shallow mean thermocline (90 m, as measured by the 20°C isotherm) and pronounced seasonal cycles of Ekman pumping and SST (seasonal ranges of −0.1 to 0.6 m day−1 and 26°–29.5°C, respectively). It is found that surface heat fluxes and horizontal heat advection contribute significantly to the seasonal cycle of mixed layer heat storage. The net surface heat flux tends to warm the mixed layer throughout the year and is strongest during boreal fall and winter, when surface shortwave radiation is highest and latent heat loss is weakest. Horizontal heat advection provides warming during boreal summer and fall, when southwestward surface currents and horizontal SST gradients are strongest, and is close to zero during the remainder of the year. Vertical turbulent mixing, estimated as a residual in the heat balance, also undergoes a significant seasonal cycle. Cooling from this term is strongest in boreal summer, when surface wind and buoyancy forcing are strongest, the thermocline ridge is shallow (<90 m), and the mixed layer is deepening. These empirical results provide a framework for addressing intraseasonal and interannual climate variations, which are dynamically linked to the seasonal cycle, in the southwestern tropical Indian Ocean. They also provide a quantitative basis for assessing the accuracy of numerical ocean model simulations in the region.

Highlights

  • The southwestern tropical Indian Ocean is characterized by a pronounced thermocline ridge known as the Seychelles–Chagos thermocline ridge (SCTR; Fig. 1)

  • Following Morel and Antoine (1994) and Sweeney et al (2005), we model the amount of SWR penetrating through the base of the mixed layer as qpen 5 0.47qsfc(V1eÀh/d1 1 V2eÀh/d2 ), where qsfc is the surface shortwave radiation, d1 and d2 are the e-folding depths of the long visible (d1) and short visible and ultraviolet (d2) wavelengths, and h is the depth of the mixed layer in meters

  • We have neglected a term in (1) that is proportional to the horizontal divergence of the vertically averaged temperature–velocity covariance [see Eq (A19) of Moisan and Niiler 1998]. We found that this term is insignificant in comparison to the other terms in (1), based on monthlymean data for 2000–04 from the Simple Ocean Data Assimilation (SODA; Carton et al 2000)

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Summary

Introduction

The aforementioned studies suggest that surface heat fluxes, horizontal advection, and entrainment play important roles in the upper-ocean heat balance of the SCTR region These studies are inconclusive regarding the causes of the seasonal cycle of SST. For heat budget sensitivity tests, we use a monthly gridded MLD product that is based on individual Argo temperature and salinity profiles (C. de Boyer Montegut 2009, personal communication) In this dataset, the MLD is defined using the criterion of a 0.03 kg m23 density increase from a depth of 10 m. The first calculates horizontal velocity averaged in the upper 30 m from the Ocean Surface Current Analysis— Real time (OSCAR; Bonjean and Lagerloef 2002) This method uses satellite sea level, wind stress, and SST, together with a diagnostic model, to calculate velocity on a 18 3 18 3 5-day grid for the time period 1993–2006. The correlation between 5-day OSCAR and buoy currents is 0.9 for each component

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