Heat transports in the Indian Ocean estimated from TOPEX/POSEIDON altimetry and model simulations

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Abstract

Estimates of the heat budget of the Indian Ocean computed using TOPEX/Poseidon (T/P) sea-level anomalies and the Miami Isopycnal Coordinate Ocean Model are compared to study the redistribution of heat in the Indian Ocean. In particular, the horizontal heat transport and heat storage are used because they typically change on time scales of months or years or longer, and are therefore a predictable element of the climate system. The results show that T/P-derived heat storage is weaker than that derived from the model but has similar spatial structure and temporal evolution. Complex principal component analysis shows that there are two main modes of heat content redistribution in the Indian Ocean. The most dominant mode has an annual signal peaking in the boreal summer, and depicts the response to strong southwest monsoon winds. This involves offshore propagation of heat in the northern Indian Ocean and southward propagation of heat across the equator. The other main mode of heat content redistribution in the Indian Ocean results from westward propagating equatorial Rossby waves. This process is prominent in the boreal fall to spring, and represents the dynamic readjustment of the Indian Ocean to near-equatorial wind forcing. This mode indirectly relates to the dipole mode index in the Indian Ocean. The minima of this time series coincide with the occurrence of the anomalous dipole structure in the equatorial Indian Ocean.

Introduction

The inter-hemispheric heating contrasts of land and ocean surfaces are at the heart of the monsoon phenomenon. The role of the ocean in the functioning of the monsoons is a subject of considerable relevance to initiatives exploring the ocean climate in the global context. The upper ocean heat supply feeds the necessary evaporation and atmospheric moisture transports during the monsoon season. The energetics of the combined hydrosphere–atmosphere system in the Indian Ocean sector and their role in the functioning of the monsoons have been subject to study, in a climatological sense, through observational data sets (Hastenrath and Greischar, 1993; Hsiung et al., 1989). Although the results differ in detail, there is agreement on the dominant seasonal characteristics of the Indian Ocean heat budget. During boreal winter, the hydrosphere of the southern tropical Indian Ocean exports heat that is carried to the north of the equator. In the northern portion of the basin the hydrosphere stores heat. During the boreal summer, the northern Indian Ocean cools drastically, with the net heat gain through the ocean surface being overcompensated by the larger southward heat transport across the equator, which in turn results in a large heat import to the hydrosphere of the southern Indian Ocean. This and the depletion of the oceanic heat content supply about a third of the energy required for the vigorous evaporation from the southern tropical Indian Ocean, which is further favored by the strong southeast trade winds peaking at this season of the year. The studies indicate the presence of a strong link between ocean dynamics and the atmospheric heat and moisture transfer that is critical to the strength of the monsoons.

A better understanding of the temporal variability and spatial redistribution of the upper ocean heat content is thus valuable to comprehend the monsoon dynamics (Webster et al., 1998; Meehl, 1994). Part of the uniqueness of the Indian Ocean is the fact that it is bounded to the north at a relatively low latitude (unlike any other ocean), so all heat absorbed in the northern Indian Ocean must escape southwards. There have been a few modeling efforts that have focused on the dynamical processes responsible for heat content redistribution in the Indian Ocean on a seasonal scale (e.g., McCreary et al., 1993; Wacogne and Pacanowski, 1995). More recently, Murtugudde and Busalacchi (1999) analyzed the heat budget terms and SST in the Indian Ocean. They found that during the boreal summer, apart from surface fluxes, entrainment cooling and horizontal advection play equally important roles in determining the SST in the Arabian Sea, Bay of Bengal and the southern tropical Indian Ocean. Lee and Marotzke (1998) and Garternicht and Schott (1997) provided a more detailed analysis of the mechanisms governing the meridional heat transport in the Indian Ocean. Garternicht and Schott (1997) find that a vertical overturning cell in the upper 500 m is the main contributor to the annual mean meridional heat flux across 5°S, whereas the horizontal gyre circulation, confined to the upper 500 m, dominates north of the equator. Lee and Marotzke (1998), through a dynamical decomposition of the overturning and heat transport, show that the time-varying Ekman flow plus its barotropic compensation can explain a large part of the seasonal variations in the overturning and heat transport. These studies also reveal the importance of the upper-ocean dynamics in the seasonal heat transports. The present study aims towards extending these recent findings about the meridional heat transports with an improved understanding of the spatio-temporal redistribution of the upper ocean heat content. The analysis intends to reveal heat propagation characteristics not only in the meridional direction but also in the zonal direction. The latter have assumed importance with the recent findings about an east–west dipole structure in the Indian Ocean and their impact on the intensity of the ensuing monsoons over east Africa and the Indian subcontinent (Webster et al., 1999; Murtugudde et al., 2000; Saji et al., 1999).

Satellite altimetry, with its abundant spatio-temporal coverage of the ocean provides an excellent opportunity to study the heat propagation in the ocean. These observations can be used for validating model results and also for improving models. Perigaud and Delecluse (1992), Perigaud and Delecluse (1993) analyzed Geosat altimeter data for comparison with numerical simulations from a reduced-gravity model forced by winds. After decomposition into complex empirical orthogonal functions (CEOF) they found that the low-frequency anomalies are largely described by the first two modes for observations, as well as simulations. Stammer et al. (1996) compared the sea-level response of the 0.25° global model of Semtner and Chervin (1992) to observations by the TOPEX/Poseidon (T/P) altimeter over ∼2 years. They found that, on scales >2°, the model sea-level variations associated with seasonal cycle in the Indian Ocean were similar to those in T/P observations. Several investigations (Yang et al., 1998; Basu et al., 2000; Subrahmanyam et al., 2002; Subrahmanyam and Robinson, 2002) have made more detailed comparisons between T/P observations and ocean model simulations using reduced gravity ocean models. They all show that dominant modes of the observed and simulated sea-level changes were related to important mesoscale and basin-scale variations.

Of particular interest to this study is the heat content redistribution over the Indian Ocean. The heat content anomalies of the ocean have been estimated from T/P sea-level anomalies (SLA), based on the assumption of a linear relation between sea-level change and the heat content of the water column. In regions of strong variability in the upper ocean heat content, such as the Indian Ocean, the derived heat content anomalies provide useful tools to study the spatial and temporal variability.

This study focuses on:

  • testing the viability of using SLA data from T/P altimetry to produce a time-series of heat content anomalies over the Indian Ocean;

  • assessing the hydrosphere heat budget and compare the heat budget terms derived from SLA observations with those derived from a numerical simulation of the Indian Ocean;

  • using the results to comprehend the spatio-temporal variability in the oceanic heat transports in the Indian Ocean.

Section snippets

Complex principal component analysis

Complex principal component analysis (hereafter CPCA) will be used to analyze the spatial or temporal variability of heat budget fields derived from altimetry and model simulations. This method enables us to compress the complicated space-time variability of the heat budget fields into the fewest possible number of modes, which might be expected to simplify the interpretation of the data. Decomposition into complex principal components (CPCs) allows one to sort out, by decreasing variance,

Heat content from altimetry

The observational data used in the study are SLA from the T/P altimeter. The US–French T/P altimeter was launched in August 1992 into an orbit with an inclination of 66° and a repeat period of 9.9156 days (Fu et al., 1994). The global accuracy of the sea-surface height (SSH) gridded fields after gridding in space and time is better than 4 cm (Chelton et al., 2001). The 10-day repeat T/P altimeter data were extracted from the geophysical data records (GDRs) provided on CD-ROM using the supplied

Heat content from model simulations

The Miami Isopycnic Coordinate Model (MICOM) is used in this study. MICOM is a three-dimensional primitive equation ocean general circulation model (OGCM) with 15-isopycnic layers and a mixed layer on top (Bleck et al (1989), Bleck et al (1992), Bleck et al (1995)). The model is run in global configuration. A major modification is the implementation of a variable resolution horizontal grid, which is designed such that the resolution gradually increases while approaching the East African coast,

Annual cycle of the heat budget

In order to emphasize the latitudinal variation and annual cycle, the T/P based and model-simulated fields of monthly net oceanic heat gain, heat stored and heat flux divergence are displayed as zonal averages (Fig. 2). The estimated model and T/P net oceanic heat gains (Figs. 2a and b) show general agreement. Both exhibit the largest annual range in the outer tropics, where positive values are ∼50 W m−2 in the spring and summer, and negative values in the range of −50 to −100 W m−2 characterize

Discussion

The role of ocean dynamics in controlling the heat budget of the Indian Ocean is investigated using data derived from SLA and model simulations. The salient features of the seasonal evolution of the latitudinal heat content variability are depicted in Fig. 2, Fig. 3, Fig. 4. During the boreal summer, even though there is a net oceanic heat gain from the atmosphere, there is net heat depletion in the northern Indian Ocean. This corresponds to a concurrent net heat export from the region and

Acknowledgements

This work was supported by the National Science Foundation, as part of the WOCE-AIMS initiative. The numerical simulations were supported by the University of North Carolina System and conducted at the North Carolina Supercomputing Center. We are grateful to T/P team and AVISO Altimetrie for provision of the altimeter data. The center for Ocean–Atmospheric Prediction Studies at the Florida State University receives its base support from the Office of Naval Research, Secretary of the Navy Grant

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