2015
DOI: 10.1007/s40808-015-0014-5
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Inter-comparison of physical processes associated with winter and non-winter hailstorms using the weather research and forecasting (WRF) model

Abstract: Hailstorms are more frequent during non-winter whereas rare during winters due to the absence of increased surface temperature or low level of moisture incursion. This study shows a inter-comparison in the dynamics of winter and non-winter hailstorms reported over New Delhi, India using numerical simulation method. Non-winter hailstorms, formed due to increased instability due to low level convection and moisture incursion. Whereas rare instability conditions form due to low level available potential energy an… Show more

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Cited by 11 publications
(2 citation statements)
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“…Good agreement trends between observed and simulated values (overestimation/underestimation) are seen at the surface. Chevuturi and Dimri (2015). The model has produced better simulation of these parameters on the day of occurrence (table 3).…”
Section: Surface Wind Slp Rh and Temperature Analysesmentioning
confidence: 99%
“…Good agreement trends between observed and simulated values (overestimation/underestimation) are seen at the surface. Chevuturi and Dimri (2015). The model has produced better simulation of these parameters on the day of occurrence (table 3).…”
Section: Surface Wind Slp Rh and Temperature Analysesmentioning
confidence: 99%
“…A detailed technical description of ARW is available in [31]. WRF model has been very widely used over a range of applicability and operability and has been tested effectively in forecasting extreme rainfall event [32,33], intercomparison of winter and non-winter hail storms [34], sensitivity of physical schemes in simulating intense western disturbances [35] and meteorological data source for dispersion modeling [36].…”
Section: Model Descriptionmentioning
confidence: 99%