Long-term variability of Sea Surface Temperature in the Tropical Indian Ocean in relation to climate change and variability

https://doi.org/10.1016/j.gloplacha.2021.103436Get rights and content

Highlights

  • The robust basin-wide warming of the TIO is largely in phase with the warming of the western Pacific and Atlantic Oceans.

  • The cyclonic circulation of the Arabian Sea basin resulted in equatorial westerlies and enhanced latent heat loss.

  • The oceanic processes reinforce the warming tendency of TIO, which overcomes the cooling by net loss of surface heat flux.

Abstract

The long-term change in the sea surface temperature (SST) of the Tropical Indian Ocean (TIO) and the underlying mechanisms are examined in detail by analysing multiple reanalysis datasets and historical simulations of a global climate model. A robust basin-wide warming signal was found in SST, with the highest long-term warming trend (~0.09 ± 0.015 °C decade−1) seen over the north-western and equatorial Indian Ocean regions. The robust warming trend of TIO SST is a dominant warming signal of the global tropical oceans and is largely in phase with similar warming in western Pacific and Atlantic Oceans. The central equatorial Indian Ocean and south TIO regions went through significant warming during recent decades. The weakened cross-equatorial flow and the associated cyclonic winds over the Arabian Sea region have resulted in equatorial westerlies with an enhanced loss of latent heat over the central and eastern equatorial Indian Ocean. The anomalous cyclonic wind stress curl, in turn, caused mixed layer stratifications in the western Indian Ocean. The advective heat transfer from the south-eastern Indian Ocean to the western Indian Ocean and reduced oceanic cooling by vertical processes, overcome the cooling by the net loss of surface heat fluxes, and favor surface warming the TIO.

Introduction

The Indian ocean warming and its teleconnections play a crucial role in the modulation of the global climate system (e.g., Luo et al., 2012; Chen et al., 2019). Since the 1950s, the tropical Indian Ocean (TIO; 30oN-30oS and 30°E-120°E) has warmed faster than elsewhere in the tropical ocean basins (Han et al., 2014) consistent with the global sea surface temperature (SST) trend. The Indian Ocean SST variability has implications on environmental and associated socioeconomic status of the Indian Ocean rim countries. The intensity and distribution of Indian summer monsoon has changed and is projected to change substantially in the future (Sharmila et al., 2015; Sahany et al., 2019; Bhowmick et al., 2019; Mishra et al., 2019). Considering the regional and remote impacts of TIO warming, it is highly desirable to understand the SST variability and change to improve the monsoon predictability (Kucharski and Abid, 2017).

Long-term variations of SST anomaly patterns resulted from a combination of intrinsic modes of atmospheric and oceanic circulation variabilities and coupled ocean-atmosphere interactions (Deser et al., 2010). The SST variability of TIO shows a centennial warming trend superimposed on interannual and decadal variations as well as a rapid warming trend during 2003–2013 (Li et al., 2017). Previous studies (e.g., Li et al., 2016; Han et al., 2014) speculated that the remote forcing from Atlantic and Pacific basins contributes to upper-ocean warming of TIO. However, based on observation and climate model-based analysis, Li et al. (2017) suggested that the tropical ocean basins are tightly connected through multiple atmospheric teleconnections besides the inter-oceanic connection. Atlantic Ocean regional effect can feedback to the Pacific (Kucharski et al., 2015), which influences the Indian Ocean through atmospheric teleconnections (Li et al., 2016).

Previous studies (e.g., Deser et al., 2010; Dong and Zhou, 2014) linked the warming of Indian Ocean, especially since the 1950s, to El Niño driven air-sea interactions and greenhouse gas forced radiative and heat flux contributions. Dong and Zhou (2014) showed that anthropogenic forcing contributes to basin-wide warming pattern causing frequent Indian Ocean Dipole (IOD) events. Enhanced wind stress curl in the south Indian Ocean also contributed to the basin-wide warming of the Indian Ocean (Cai et al., 2007). Anthropogenic activities and warming in the Indian Ocean have influenced the Indian summer monsoon (e.g., Singh et al., 2019; Roxy et al., 2014). Hence, a rigorous analysis of SST variability of TIO and its quantification has scientific and societal significance. Our understanding regarding the persistent long-term warming revealed by observations, reanalysis and climate models is less sufficient for reliable future projection and impact assessments. The previous study by Dong and McPhaden (2016) suggested weaker warming over the north tropical Indian Ocean compared to the enhanced warming of southern Indian Ocean (south of 10oS) under the influence of Pacific heat transport through an inter-oceanic connection. We limit our study domain to TIO to highlight its warming trend and coherency with global tropical oceans. Also, the tropical Indian Ocean warming/cooling is sensitive to Indian summer monsoon variability and is highly significant to the livelihood of the population across the Indian subcontinent.

In this paper, we examine three gridded reanalysis SST data sets available for the period of 1900–2017 to examine the consistency and causes of TIO warming. The study is aimed at addressing the following questions: Is the previously reported Indian Ocean warming trend also prominent over global tropical oceans and is it robust across different SST products? Is the imprint of natural and anthropogenic warming localized in a specific region across different SST products? The study also attempts to understand how the air-sea fluxes and mixed layer heat content of the tropical Indian Ocean are adjusting in a warming climate. A brief description of datasets and methodologies used in the study is given in Section 2. The results and discussions are presented in Section 3, and the results have been summarised in Section 4.

Section snippets

Data sets

In the present study, five gridded reanalysis SST datasets are considered; the Hadley Center sea ice and SST dataset version 1.1 (HadISST1.1; Rayner et al., 2003), the extended reconstructed SST version 5 (ERSSTv5; Smith and Reynolds, 2004; Smith et al., 2008), and the centennial in situ observation-based estimate of SST (COBE-SST2; Hirahara et al., 2014; Ishii et al., 2005). The HadISST (1o x 1o), ERSST (2o x 2o), and COBE (1o x 1o) SST products use different statistical procedures to fill the

Long-term warming of tropical Indian Ocean

We consider the ensemble mean SST anomaly obtained from three SST data sets to substantiate the extensively discussed (e.g., Roxy et al., 2014; Dong and McPhaden, 2016) TIO warming. The study examines the SST variability over the 118 years from 1900 to 2017. However, we also considered the periods 1948–2017 and 1980–2017 to ensure the robustness and to explore the mechanisms of consistent warming of TIO. Fig. 1 intercompares the spatial patterns of SST trends in each product and ensemble mean

Summary and conclusions

Previous studies suggest SSTs over the tropical Indian Ocean region show interannual, decadal, and multi-decadal variations superimposed on a robust warming trend. However, the quantification and the causes of the long-term SST variability remain unclear. Here, we investigate the SST variability at a long-term scale in the TIO by analysing ensemble mean SST anomalies constructed from three gridded reanalysis products for 118 years (1900–2017) and a CMIP6 climate model historical simulation for

Declaration of Competing Interest

The authors declare no competing interests.

Acknowledgements

This research is partly supported by the DST Centre of Excellence in Climate Modeling at IIT Delhi. The authors thank all the modeling and research centres for making the data available i.e. HadISST, ERSST, COBE, NCEP and GODAS. We thank https://esgfnode.llnl.gov/ and http://archive.ceda.ac.uk/ for making available the CESM2 historical simulations. This is NIO contribution number 6669.

References (98)

  • W. Cai

    Anthropogenic aerosol forcing and the structure of temperature trends in the southern Indian Ocean

    Geophys. Res. Lett.

    (2007)
  • H.S. Chaudhari

    SST and OLR relationship during Indian summer monsoon: a coupled climate modelling perspective

    Meteorog. Atmos. Phys.

    (2018)
  • X. Chen et al.

    Global surface warming enhanced by weak Atlantic overturning circulation

    Nature

    (2018)
  • M. Chen et al.

    The changing impact mechanisms of a diverse El Niño on the western Pacific subtropical high

    Geophys. Res. Lett.

    (2019)
  • J. Chowdary et al.

    Basin-wide warming of the Indian Ocean during El Niño and Indian Ocean dipole years

    Int. J. Climatol. J. R. Meteorol. Soc.

    (2007)
  • C. Deser et al.

    Sea surface temperature variability: patterns and mechanisms

    Annu. Rev. Mar. Sci.

    (2010)
  • L. Dong et al.

    Interhemispheric SST gradient trends in the Indian Ocean prior to and during the recent global warming hiatus

    J. Clim.

    (2016)
  • L. Dong et al.

    The Indian Ocean sea surface temperature warming simulated by CMIP5 models during the twentieth century: competing forcing roles of GHGs and anthropogenic aerosols

    J. Clim.

    (2014)
  • A. Donohoe et al.

    Shortwave and longwave radiative contributions to global warming under increasing CO2

    Proc. Natl. Acad. Sci.

    (2014)
  • D.B. Enfield et al.

    The Atlantic multidecadal oscillation and its relation to rainfall and river flows in the continental US

    Geophys. Res. Lett.

    (2001)
  • M.H. England

    Recent intensification of wind-driven circulation in the Pacific and the ongoing warming hiatus

    Nat. Clim. Chang.

    (2014)
  • E. Exarchou et al.

    Origin of the warm eastern tropical Atlantic SST bias in a climate model

    Clim. Dyn.

    (2018)
  • V. Eyring

    Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization

    Geosci. Model Dev.

    (2016)
  • C.K. Folland et al.

    Causes of irregularities in trends of global mean surface temperature since the late 19th century

    Sci. Adv.

    (2018)
  • M.S. Girishkumar et al.

    Temperature inversions and their influence on the mixed layer heat budget during the winters of 2006–2007 and 2007–2008 in the Bay of Bengal

    J. Geophys. Res. Oceans

    (2013)
  • C. Gnanaseelan et al.

    Variability and trends of sea surface temperature and circulation in the Indian Ocean

  • W. Han

    Indian Ocean decadal variability: a review

    Bull. Am. Meteorol. Soc.

    (2014)
  • S. Hirahara et al.

    Centennial-scale sea surface temperature analysis and its uncertainty

    J. Clim.

    (2014)
  • J.W. Hurrell

    The community earth system model: a framework for collaborative research

    Bull. Am. Meteorol. Soc.

    (2013)
  • M. Ishii et al.

    Objective analyses of sea-surface temperature and marine meteorological variables for the 20th century using ICOADS and the Kobe collection

    Int. J. Climatol. J. R. Meteorol. Soc.

    (2005)
  • M. Jochum et al.

    Internal variability of Indian ocean SST

    J. Clim.

    (2005)
  • E. Kalnay

    The NCEP/NCAR 40-year reanalysis project

    Bull. Am. Meteorol. Soc.

    (1996)
  • S. Kamworapan et al.

    Performance of cmip5 global climate models for climate simulation in southeast Asia, TENCON 2017-2017 IEEE Region 10 Conference

    IEEE, pp.

    (2017)
  • R. Kistler

    The NCEP–NCAR 50-year reanalysis: monthly means CD-ROM and documentation

    Bull. Am. Meteorol. Soc.

    (2001)
  • R. Krishnan

    Indian Ocean-monsoon coupled interactions and impending monsoon droughts

    Geophys. Res. Lett.

    (2006)
  • R. Krishnan

    Will the South Asian monsoon overturning circulation stabilize any further?

    Clim. Dyn.

    (2013)
  • F. Kucharski et al.

    Interannual variability of the Indian monsoon and its link to ENSO

  • F. Kucharski et al.

    Tropical Atlantic influence on Pacific variability and mean state in the twentieth century in observations and CMIP5

    Clim. Dyn.

    (2015)
  • S.P. Kumar et al.

    Seasonal variability of the mixed layer in the central Arabian Sea and its implication on nutrients and primary productivity

    Deep-Sea Res. II Top. Stud. Oceanogr.

    (2005)
  • M.R. Kumar et al.

    Increasing trend of “break-monsoon” conditions over India—role of ocean–atmosphere processes in the Indian Ocean

    IEEE Geosci. Remote Sens. Lett.

    (2009)
  • B.P. Kumar et al.

    Latent heat flux sensitivity to sea surface temperature: regional perspectives

    J. Clim.

    (2017)
  • S.M. Larson et al.

    A framework to decompose wind-driven biases in climate models applied to CCSM/CESM in the eastern Pacific

    J. Clim.

    (2017)
  • J.L. Lean et al.

    How natural and anthropogenic influences alter global and regional surface temperatures: 1889 to 2006

    Geophys. Res. Lett.

    (2008)
  • S. Levitus et al.

    Warming of the world ocean

    Science

    (2000)
  • Y. Li et al.

    Enhanced decadal warming of the southeast Indian Ocean during the recent global surface warming slowdown

    Geophys. Res. Lett.

    (2017)
  • W. Liu et al.

    An ocean view of the global surface warming hiatus

    Oceanography

    (2018)
  • W. Liu et al.

    Understanding the Indian Ocean response to double CO 2 forcing in a coupled model

    Ocean Dyn.

    (2015)
  • R. Lukas et al.

    The mixed layer of the western equatorial Pacific Ocean

    J. Geophys. Res. Oceans

    (1991)
  • J.-J. Luo et al.

    Indian Ocean warming modulates Pacific climate change

    Proc. Natl. Acad. Sci.

    (2012)
  • Cited by (0)

    View full text