NDLI: Processes of India’s offshore summer intraseasonal sea surface temperature variability

Content Provider	Springer Nature Link
Author	Kurian, Nisha Lengaigne, Matthieu Vissa, Gopalakrishna Venkata Vialard, Jerome Pous, Stephane Peter, Anne Charlotte Durand, Fabien Naik, Shweta
Copyright Year	2013
Abstract	Active and break phases of the Indian summer monsoon are associated with sea surface temperature (SST) fluctuations at 30–90 days timescale in the Arabian Sea and Bay of Bengal. Mechanisms responsible for basin-scale intraseasonal SST variations have previously been discussed, but the maxima of SST variability are actually located in three specific offshore regions: the South-Eastern Arabian Sea (SEAS), the Southern Tip of India (STI) and the North-Western Bay of Bengal (NWBoB). In the present study, we use an eddy-permitting 0.25° regional ocean model to investigate mechanisms of this offshore intraseasonal SST variability. Modelled climatological mixed layer and upper thermocline depth are in very good agreement with estimates from three repeated expendable bathythermograph transects perpendicular to the Indian Coast. The model intraseasonal forcing and SST variability agree well with observed estimates, although modelled intraseasonal offshore SST amplitude is undere-stimated by 20–30 %. Our analysis reveals that surface heat flux variations drive a large part of the intraseasonal SST variations along the Indian coastline while oceanic processes have contrasted contributions depending of the region considered. In the SEAS, this contribution is very small because intraseasonal wind variations are essentially cross-shore, and thus not associated with significant upwelling intraseasonal fluctuations. In the STI, vertical advection associated with Ekman pumping contributes to ∼30 % of the SST fluctuations. In the NWBoB, vertical mixing diminishes the SST variations driven by the atmospheric heat flux perturbations by 40 %. Simple slab ocean model integrations show that the amplitude of these intraseasonal SST signals is not very sensitive to the heat flux dataset used, but more sensitive to mixed layer depth.
Starting Page	329
Ending Page	346
Page Count	18
File Format	PDF
ISSN	16167341
Journal	Deutsche Hydrografische Zeitschrift
Volume Number	63
Issue Number	4
e-ISSN	16167228
Language	English
Publisher	Springer-Verlag
Publisher Date	2013-03-14
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Indian Ocean Intraseasonal variability Sea surface temperature Regional ocean model Oceanic and atmospheric processes Oceanography Geophysics/Geodesy Atmospheric Sciences Fluid- and Aerodynamics Environmental Monitoring/Analysis
Content Type	Text
Resource Type	Article
Subject	Oceanography

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