scholarly journals A numerical study of sea breeze circulation observed at a tropical site Kalpakkam on the east coast of India, under different synoptic flow situations

2006 ◽  
Vol 115 (5) ◽  
pp. 557-574 ◽  
Author(s):  
C. V. Srinivas ◽  
R. Venkatesan ◽  
K. M. Somayaji ◽  
A. Bagavath Singh
2009 ◽  
Vol 17 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Cristina Mangia ◽  
Ilenia Schipa ◽  
Annalisa Tanzarella ◽  
Dario Conte ◽  
Gian Paolo Marra ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Yucong Miao ◽  
Shuhua Liu ◽  
Yijia Zheng ◽  
Shu Wang ◽  
Bicheng Chen

The effects of the topography and urbanization on the local atmospheric circulations over the Beijing-Tianjin-Hebei (BTH) region were studied by the weather research and forecasting (WRF) model, as well as the interactions among these local atmospheric circulations. It was found that, in the summer day time, the multiscale thermally induced local atmospheric circulations may exist and interact in the same time over the BTH region; the topography played a role in the strengthening of the sea breeze circulations; after sunset, the inland progress of sea breeze was slowed down by the opposite mountain breeze; when the land breeze circulation dominated the Bohai bay, the mountain breeze circulation can couple with the land breeze circulation to form a large circulation ranging from the coastline to the mountains. And the presence of cities cannot change the general state of the sea-land breeze (SLB) circulation and mountain-valley breeze (MVB) circulation but acted to modify these local circulations slightly. Meanwhile, the development of the urban heat island (UHI) circulation was also strongly influenced by the nearby SLB circulation and MVB circulation.


2007 ◽  
Vol 42 (2) ◽  
pp. 401-413 ◽  
Author(s):  
Matthew Simpson ◽  
Hari Warrior ◽  
Sethu Raman ◽  
P. A. Aswathanarayana ◽  
U. C. Mohanty ◽  
...  

MAUSAM ◽  
2022 ◽  
Vol 63 (3) ◽  
pp. 401-422
Author(s):  
RAJENDRAKUMAR JENAMANI

During the decade of 1998-2007, both Orissa and Andhra Pradesh at east Coast of India have been affected by heat waves more frequently and more severely causing very high damages to human lives. The most severe heat wave years for the region in the recent past are summer of 1998 over Orissa and 2003 over Andhra Pradesh when 2,042 and nearly 3054 people lost their lives respectively. In summer of 2005, though severe heat wave conditions were experienced for some days over Orissa and adjoining east coasts, the damages were not high as before. In view of such extreme temperature events have been regularly affected the region during the period where their normal frequency is low, analyses of their long period temperature data and study of their relationship with various regional and global ocean-atmospheric features are very much necessary, to find possible causes and then use them in forecasting. In the present study, an attempt has been made to analyze various temperature time series as available, varying from large domain to small domain, e.g., all India temperature, east coast of India temperature etc., to understand whether years which had recorded extreme temperatures in these larger domains have any relationship with that occurred over its very smaller domain, e.g., Orissa from station data, of which later is a part. To understand the relation between the magnitude of heat indices and loss to total human lives it caused during respective whole periods of heat waves, different heat indices, viz., general heat indices, Thom’s discomfort and Webb’s comfort indices have been computed during these extreme years over Orissa and Andhra Pradesh states and compared with total heat wave related human deaths over the respective states for the corresponding years. In addition to various heat indices, various Ocean-atmospheric characteristics, e.g., monthly SST over Bay of Bengal, day-to-day synoptic flow pattern, recurving Cyclonic Storms which strengthen low-level westerly and prohibit onset of Sea breeze over the coastal stations in the region causing persistent of heat waves, have also been critically analyzed both spatially and temporally to find role of these features in such occurrences. Their statistical lag correlations if any with ensuing temperature rise have been tested to explore the possibility of using them in forecasting these events much in advance.


1981 ◽  
Vol 59 (5) ◽  
pp. 723-738 ◽  
Author(s):  
Y. Kikuchi ◽  
S. Arakawa ◽  
F. Kimur ◽  
K. Shirasaki ◽  
Y. Nagano

2012 ◽  
Vol 2 (11) ◽  
pp. 517-520
Author(s):  
VIJAYA BHANU, CH VIJAYA BHANU, CH ◽  
◽  
ANNAPURNA, C ANNAPURNA, C ◽  
SRINIVASA RAO, M SRINIVASA RAO, M ◽  
SIVA LAKSHMI, M. V SIVA LAKSHMI, M. V ◽  
...  

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