Assimilation of Doppler weather radar data and their impacts on the simulation of squall events during pre-monsoon season

Mohan Das (), Md. Chowdhury, Someshwar Das, Sujit Debsarma and Samarendra Karmakar

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2015, vol. 77, issue 2, 931 pages

Abstract: The quantitative data from Doppler Weather Radar (DWR) such as the radial winds and reflectivity are useful for improving the numerical prediction of weather events like squalls. Mesoscale convective systems are responsible for majority of the squall and hail events and related natural hazards that occur over Bangladesh and surrounding region in pre-monsoon season. In this study, DWR observations (radial winds and reflectivity) of Bangladesh Meteorological Department are used for simulating the squall events during May 2011 with a view to update the initial and boundary conditions through three-dimensional variational assimilation technique within the Advanced Research Weather Research and Forecasting model. The simulated sea-level pressure, thermodynamic indices, wind fields at 850 hPa, and cloud hydrometeors from eight experiments are presented in this study for analyzing the observed and simulated features of the squall events which occurred in the month of May 2011. The model results are also compared with the Kalpana-1 satellite imagery and the observations of India Meteorological Department. Further, the intensity of the events generated from the simulations is also compared with the in situ meteorological observations in order to evaluate the model performance. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Squall; MCS; 3DVAR assimilation; DWR radial winds; Reflectivity (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s11069-015-1634-9

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