scholarly journals Sea Surface Temperature Anomaly in the Bay of Bengal in 2010

2013 ◽  
Vol 5 (2) ◽  
pp. 77-80 ◽  
Author(s):  
M Shamsad ◽  
MA Farukh ◽  
MJR Chowdhury ◽  
SC Basak

Bangladesh is one of the most disaster prone countries in the world and is a victim of frequent natural calamities like tropical cyclones, tornadoes, floods, storm surges and droughts. Sea surface temperature (SST) plays a vital role in determining ocean-atmosphere interaction. In this study we focused on understanding the behavior of SST anomaly prevailed in the region of Bay of Bengal mainly to assume the surface temperature signature for cyclone occurrence. For this study, the observed SST anomaly data were derived from NOAA Coast-watch using a combination of global and regional algorithms. The SST anomaly maps were produced using SAGA-GIS software where the SST lines were fixed at the mean of 30 years data. The AVHRR SST was compared with the climatological SST for the region of Bay of Bengal in 2010. The monthly SST anomaly for 2010 showed average departure of 0.7°C for all the months except June and October. It was found that the anomaly increases about 2°C at the end of September, and in October the basin bears no significant anomaly.DOI: http://dx.doi.org/10.3329/jesnr.v5i2.14797 J. Environ. Sci. & Natural Resources, 5(2): 77-80 2012

2012 ◽  
Vol 12 ◽  
pp. 296-303
Author(s):  
Md. Mizanur Rahman ◽  
Nazlee Ferdousi ◽  
Md. Abubakar Abdullah ◽  
Yasuo Sato ◽  
Shoji Kusunoki ◽  
...  

Sea surface temperature (SST) is one of the important oceanic parameters controlling the ocean climate. In view of this importance, an attempt was made in this study to examine the inter-annual and decadal variability of SST over the Bay of Bengal. The Bay is divided into three regions namely, i) South Bay, ii) Central Bay and iii) North Bay , during the period 1979-2006. The values of seasonal SST anomaly over these regions of Bay of Bengal are computed for the four meteorological seasons like, Winter (December-February), pre-monsoon (March-May), Monsoon (June-September) and post-monsoon (October-November). The variability of seasonal SST anomaly was examined using various statistical methods, on inter-annual and decadal time scale and the results are inter-compared. The SST anomaly over the above region of Bay of Bengal for all seasons showed an increasing trend except in the North Bay during the period 1979-2006, which showed almost neutral trend. The SST showed an increasing trend more particularly after 1992.DOI: http://dx.doi.org/10.3126/njst.v12i0.6516 Nepal Journal of Science and Technology 12 (2011) 296-303 


2004 ◽  
Vol 31 (2) ◽  
pp. 549-560 ◽  
Author(s):  
Tariq Masood Ali Khan ◽  
Dewan Abdul Quadir ◽  
Tad S. Murty ◽  
Majajul Alam Sarker

2021 ◽  
Vol 126 (9) ◽  
Author(s):  
M. S. Girishkumar ◽  
Jofia Joseph ◽  
M. J. McPhaden ◽  
E. Pattabhi Ram Rao

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Dhrubajyoti Samanta ◽  
Saji N. Hameed ◽  
Dachao Jin ◽  
Vishnu Thilakan ◽  
Malay Ganai ◽  
...  

2006 ◽  
Vol 19 (12) ◽  
pp. 2953-2968 ◽  
Author(s):  
Takashi Mochizuki ◽  
Hideji Kida

Abstract The seasonality of the decadal sea surface temperature (SST) anomalies and the related physical processes in the northwestern Pacific were investigated using a three-dimensional bulk mixed layer model. In the Kuroshio–Oyashio Extension (KOE) region, the strongest decadal SST anomaly was observed during December–February, while that of the central North Pacific occurred during February–April. From an examination of the seasonal heat budget of the ocean mixed layer, it was revealed that the seasonal-scale enhancement of the decadal SST anomaly in the KOE region was controlled by horizontal Ekman temperature transport in early winter and by vertical entrainment in autumn. The temperature transport by the geostrophic current made only a slight contribution to the seasonal variation of the decadal SST anomaly, despite controlling the upper-ocean thermal conditions on decadal time scales through the slow Rossby wave adjustment to the wind stress curl. When averaging over the entire KOE region, the contribution from the net sea surface heat flux was also no longer significantly detected. By examining the horizontal distributions of the local thermal damping rate, however, it was concluded that the wintertime decadal SST anomaly in the eastern KOE region was rather damped by the net sea surface heat flux. It was due to the fact that the anomalous local thermal damping of the SST anomaly resulting from the vertical entrainment in autumn was considerably strong enough to suppress the anomalous local atmospheric thermal forcing that acted to enhance the decadal SST anomaly.


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