Abstract

Superimposed on a pronounced warming trend, the Indian Ocean (IO) sea surface temperatures (SSTs) also show considerable decadal variations that can cause regional climate oscillations around the IO. However, the mechanisms of the IO decadal variability remain unclear. Here we perform numerical experiments using a state-of-the-art, fully coupled climate model in which the external forcings with or without the observed SSTs in the tropical eastern Pacific Ocean (TEP) are applied for 1871–2012. Both the observed timing and magnitude of the IO decadal variations are well reproduced in those experiments with the TEP SSTs prescribed to observations. Although the external forcings account for most of the warming trend, the decadal variability in IO SSTs is dominated by internal variability that is induced by the TEP SSTs, especially the Inter-decadal Pacific Oscillation (IPO). The IPO weakens (enhances) the warming of the external forcings by about 50% over the IO during IPO’s cold (warm) phase, which contributes about 10% to the recent global warming hiatus since 1999. The decadal variability in IO SSTs is modulated by the IPO-induced atmospheric adjustment through changing surface heat fluxes, sea surface height and thermocline depth.

Highlights

  • To quantify the effects on Indian Ocean (IO) sea surface temperatures (SSTs), we first compare the SST anomalies represented by the global warming (GW), Inter-decadal Pacific Oscillation (IPO) and Atlantic Multi-decadal Oscillation (AMO) modes during 1901–2011 (Supplementary Fig. S1)[23]

  • These results suggest that the IPO plays an important role in controlling the decadal variability of the IO SSTs

  • Our analysis of the individual runs suggests that the ensemble mean of the three All forcing members, when combined with the 8-year low-pass filtering, can greatly reduce the decadal signal associated with the IPO (Supplementary Fig. S10)

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Summary

Objectives

This study aims to reveal the mechanisms responsible for the IO decadal variability

Methods
Results
Conclusion
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