S
S. Kiran Prasad
Researcher at Indian Institutes of Technology
Publications - 9
Citations - 213
S. Kiran Prasad is an academic researcher from Indian Institutes of Technology. The author has contributed to research in topics: Weather Research and Forecasting Model & Data assimilation. The author has an hindex of 8, co-authored 8 publications receiving 166 citations. Previous affiliations of S. Kiran Prasad include Indian Institute of Technology Delhi & Indian Institute of Technology Bhubaneswar.
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A Study on Simulation of Heavy Rainfall Events Over Indian Region with ARW-3DVAR Modeling System
TL;DR: In this article, the authors evaluated the impact of the 3DVAR data assimilation within the Weather Research Forecasting (WRF) modeling system to simulate two heavy rainfall events which occured on 26-27 July 2005 and 27-30 July 2006.
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Characteristics of winter precipitation over Northwest India using high-resolution gridded dataset (1901–2013)
M.M. Nageswararao,M.M. Nageswararao,U. C. Mohanty,S. S. V. S. Ramakrishna,Archana Nair,S. Kiran Prasad +5 more
TL;DR: In this article, the authors analyzed long-term climatology, variability and trends in the daily precipitation events ≥ 1mm during winter season (Dec to Feb, DJF) over northwest India (NWI) and its related 9 subdivisions using a new high resolution (0.25° × 0.75°) data from 1901 to 2013.
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Real-time prediction of movement, intensity and storm surge of very severe cyclonic storm Hudhud over Bay of Bengal using high-resolution dynamical model
Raghu Nadimpalli,Krishna K. Osuri,Sujata Pattanayak,U. C. Mohanty,M. M. Nageswararao,S. Kiran Prasad +5 more
TL;DR: In this article, the authors used the advanced research weather research and forecasting (ARW) model with 9-km grid spacing coupled with dynamical storm surge model and is used for real-time prediction of Hudhud.
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Impact of Doppler weather radar data on thunderstorm simulation during STORM pilot phase—2009
S. Kiran Prasad,U. C. Mohanty,A. Routray,Krishna K. Osuri,S. S. V. S. Ramakrishna,Dev Niyogi +5 more
TL;DR: In this article, the authors assess the impact of Doppler weather radar (DWR) data (reflectivity and radial wind) assimilation on the simulation of severe thunderstorms (STS) events over the Indian monsoon region.
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Comparison of thunderstorm simulations from WRF-NMM and WRF-ARW models over East Indian Region.
TL;DR: Comparison of simulated results of three thunderstorm events using NMM and ARW model core of WRF system and validated the model results with observations suggests that NMM model has the potential to provide unique and valuable information for severe thunderstorm forecasters over east Indian region.