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


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Article Info

DATE

2017-03-14

AUTHORS

Hemantkumar S. Chaudhari, Anupam Hazra, Samir Pokhrel, Chandrima Chakrabarty, Subodh Kumar Saha, P. Sreenivas

ABSTRACT

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. More... »

PAGES

211-225

References to SciGraph publications

  • 2015-02-15. Evaluation of cloud properties in the NCEP CFSv2 model and its linkage with Indian summer monsoon in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2015-06-19. Seasonal prediction of Indian summer monsoon rainfall in NCEP CFSv2: forecast and predictability error in CLIMATE DYNAMICS
  • 2015-01-23. Improvements in the representation of the Indian summer monsoon in the NCEP climate forecast system version 2 in CLIMATE DYNAMICS
  • 2015-05-31. Influence of upper ocean on Indian summer monsoon rainfall: studies by observation and NCEP climate forecast system (CFSv2) in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2015-05-23. Indian summer monsoon simulations with CFSv2: a microphysics perspective in THEORETICAL AND APPLIED CLIMATOLOGY
  • 1984-11. Ocean–atmosphere coupling over monsoon regions in NATURE
  • 2012-03-30. ENSO, IOD and Indian Summer Monsoon in NCEP climate forecast system in CLIMATE DYNAMICS
  • 2013-02-19. Seasonal prediction of Indian summer monsoon in NCEP coupled and uncoupled model in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2015-10-08. Seasonal variability of the relationship between SST and OLR in the Indian Ocean and its implications for initialization in a CGCM with SST nudging in JOURNAL OF OCEANOGRAPHY
  • 2007-05-11. Seasonal climate predictability with Tier-one and Tier-two prediction systems in CLIMATE DYNAMICS
  • 1999-09. A dipole mode in the tropical Indian Ocean in NATURE
  • 2011-04-06. Evaluation of the ENSEMBLES multi-model seasonal forecasts of Indian summer monsoon variability in CLIMATE DYNAMICS
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