Abstract
A squall line is a cluster of severe thunderstorms or storm cells that have formed into a line. Squall lines are hundreds of kilometres in length and having a life span of several hours, which is considerably longer than embedded thunderstorms. Squall lines generate gusty winds, sudden changes in the wind direction with an abrupt increase in wind speed and heavy rains with thunder which are more intense and extensive than individual thunderstorms. The severe gust associated with squall lines can exceed 100 km per hour. Some of them even carry hails and tornadoes. Area under influence of squall lines is extremely unstable and severely turbulent. Over Indian subcontinent, squall lines are often observed during the late pre-monsoon and early summer southwest monsoon over north-eastern states of India and adjoining Bangladesh. Squall line in Doppler Weather Radar (DWR) image will have solid line of heavy rainfall followed by a large area of light rainfall.
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References
Albers SC, McGinley JA, Birkenhuer DL, Smart JR (1996) The Local Analysis and Prediction System (LAPS): analysis of clouds, precipitation and temperature. Weather Forecast 11:273–287
Bratseth AM (1986) Statistical interpolation by means of successive corrections. Tellus 38A:439–447
Brewster K (1996) Application of a Bratseth analysis scheme including Doppler radar data. In: Preprints 16th conference on weather analysis and forecasting. American Meteorological Society, pp 92–95
Gao JD, Xue M, Brewster K, Droegemeier K (2004) A three dimensional data analysis method with recursive filter for Doppler radars. J Atmos Ocean Technol 21:457–469
Lin HH, Lin PL, Xiao QN, Kuo YH (2011) Effect of Doppler radial velocity data assimilation on the simulation of a typhoon approaching Taiwan: a case study of Typhoon Aere (2004). Terr Atmos Ocean Sci 22(3):325–345. doi:10.3319/TAO.2010.10.08.01(A)
Roy Bhowmik SK, Sen Roy S, Srivastava K et al (2011) Processing of Indian Doppler Weather Radar data for mesoscale applications. Meteorol Atmos Phys 111:133–147
Shamrock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Wang W, Powers JG (2005) A description of the advanced research WRF version 2 NCAR. Technical note NCAR TN-4681STR
Srivastava K, Bhardwaj R (2013a) Assimilation of Doppler Weather Radar data in WRF model for simulation of tropical cyclone Aila. Pure Appl Geophys. doi:10.1007/s00024-013-0723-5
Srivastava K, Bhardwaj R (2013b) Real time nowcast of a cloudburst and a thunderstorm event with assimilation of Doppler Weather Radar data. Nat Hazards. doi:10.1007/s11069-013-0878-5
Xiao Q, Kuo YH, Sun J, Lee WC, Barker DM, Lim E (2007) An approach of radar reflectivity data assimilation and its assessment with the inland QPE of Typhoon Rusa (2002) at landfall. J Appl Meteorol Clim 46:14–22
Zhang J, Carr F, Brewster K (1998) ADAS cloud analysis. In: Preprints 12th conference on numerical weather prediction, Phoenix, AZ. American Meteorological Society, Boston
Zhao K, Xue M (2009) Assimilation of coastal Doppler radar data with the ARPS 3DVAR and cloud analysis for the prediction of Hurricane Ike (2008). Geophys Res Lett 36:L12803, 6 pp
Acknowledgement
Authors are thankful to Guru Gobind Singh Indraprastha University, New Delhi for their support to carry out this study. The authors are also grateful to the Director General of Meteorology, IMD, New Delhi for encouraging to do present work. Authors also thankfully acknowledge the support of DWR Delhi; NWP Division, IMD, New Delhi; NWP system (ARPS) of CAPS, University of Oklahoma, USA and HPCS system for this study.
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Srivastava, K., Sinha, V., Bharadwaj, R. (2015). Assimilation of Doppler Weather Radar Data Through Rapid Intermittent Cyclic (RIC) for Simulation of Squall Line Event over India and Adjoining Bangladesh. In: Ray, K., Mohapatra, M., Bandyopadhyay, B., Rathore, L. (eds) High-Impact Weather Events over the SAARC Region. Springer, Cham. https://doi.org/10.1007/978-3-319-10217-7_2
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