Meteorology and Atmospheric Physics

, Volume 130, Issue 2, pp 211–225 | Cite as

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

  • Hemantkumar S. Chaudhari
  • Anupam Hazra
  • Samir Pokhrel
  • Chandrima Chakrabarty
  • Subodh Kumar Saha
  • P. Sreenivas
Original Paper


The study mainly investigates sea surface temperature (SST) and outgoing longwave radiation (OLR) relationships in coupled climate model. To support the analysis, high-level cloud and OLR relationship is also investigated. High-level cloud and OLR relationship depicts significant negative correlation over the entire monsoon regime. Coupled climate model is able to produce the same. SST and OLR relationship in observation also depicts significant negative relationship, in particular, over the Equatorial Eastern Indian Ocean (EIO) region. Climate Forecast System version 2 (CFSv2) is able to portray the negative relationship over EIO region; however, it is underestimated as compared to observation. Significant negative correlations elucidate that local SSTs regulate the convection and further it initiates Bjerknes feedback in the central Indian Ocean. It connotes that SST anomalies during monsoon period tend to be determined by oceanic forcing. The heat content of the coastal Bay of Bengal shows highest response to EIO SST by a lag of 1 month. It suggests that the coastal region of the Bay of Bengal is marked by coastally trapped Kelvin waves, which might have come from EIO at a time lag of 1 month. Sea surface height anomalies, depth at 20 °C isotherms and depth at 26 isotherms also supports the above hypothesis. Composite analysis based on EIO index and coupled climate model sensitivity experiments also suggest that the coastal Bay of Bengal region is marked by coastally trapped Kelvin waves, which are propagated from EIO at a time lag of 1 month. Thus, SST and OLR relationship pinpoints that the Bay of Bengal OLR (convection) is governed by local ocean–atmospheric coupling, which is influenced by the delayed response from EIO brought forward through oceanic planetary waves at a lag of 1 month. These results have utmost predictive value for seasonal and extended range forecasting. Thus, OLR and SST relationship can constitute a pivotal role in investigating the atmosphere–ocean interaction.



Authors are thankful to the Director and Chief Program Scientist, IITM for providing encouragement to carry out this research work. IBM High Power Computing (HPC) System of IITM, Prithvi facility is also acknowledged. This research is a part of SAC SARAL-AltiKa (ocean–atmosphere coupled processes in Tropical Indian Ocean) project. Authors also thank anonymous reviewers and editor for their constructive comments and suggestions.


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Copyright information

© Springer-Verlag Wien 2017

Authors and Affiliations

  • Hemantkumar S. Chaudhari
    • 1
  • Anupam Hazra
    • 1
  • Samir Pokhrel
    • 1
  • Chandrima Chakrabarty
    • 1
    • 2
  • Subodh Kumar Saha
    • 1
  • P. Sreenivas
    • 1
  1. 1.Indian Institute of Tropical MeteorologyPuneIndia
  2. 2.Indian Institute of Remote Sensing, ISRODehradunIndia

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