AuthorsDasari, Hari Prasad
V, Brahmananda Rao
N, Nanaji Rao
P, Ramesh Kumar
KAUST DepartmentPhysical Sciences and Engineering (PSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/626148
MetadataShow full item record
AbstractIn this paper, an attempt has been made to delineate the physical processes which lead to the westward movement of the North Indian Ocean tropical cyclone LEHAR. The Advanced Weather Research and Forecasting (ARW) model is used to simulate LEHAR with 27 and 9 km resolutions. The results indicate that the model performed well in simulating the characteristics of cyclone compared with the Satellite and other observations. In addition to that all terms of the complete vorticity equation are computed to obtain the contribution of each term for the vorticity tendency. The vorticity tendency is calculated in four sectors, namely northwest, northeast, southwest and southeast and assumed that the cyclone moves from its existing location to the nearest point where the vortices tendency is maximum. It is noticed that the vorticity stretching term contributes most to the positive vorticity tendency. The second highest contribution is from the horizontal advection thus indicating the secondary importance of steering. The distribution of lightening flash rates also showing that the flash rates are higher in the SW and followed by NW sectors of the cyclone indicate more strong convective clouds are in SW sector. The equivalent potential temperatures (θe) at different stages of before, during and after the mature stage of the cyclone are also analysed and the analysis reveals that the wind-induced surface heat (WISH) exchange process is a plausible mechanism for the intensification of LEHAR.
CitationDasari HP, V BR, SSVS R, Gunta P, N NR, et al. (2017) On the movement of tropical cyclone LEHAR. Earth Systems and Environment 1. Available: http://dx.doi.org/10.1007/s41748-017-0025-7.
SponsorsThe authors are thankful to India Meteorological Department for providing tropical cyclone observations. The authors acknowledge NCEP-GFS to avail the global forecasting fields on public domain. Authors are grateful to the MOES, Govt. of India for providing the funds vide reference MM/SERP/Andhra-Univ/201/IND-4/002/1307 for conducting this research.
JournalEarth Systems and Environment