K
Krishna K. Osuri
Researcher at National Institute of Technology, Rourkela
Publications - 71
Citations - 1539
Krishna K. Osuri is an academic researcher from National Institute of Technology, Rourkela. The author has contributed to research in topics: Tropical cyclone & Weather Research and Forecasting Model. The author has an hindex of 19, co-authored 58 publications receiving 1074 citations. Previous affiliations of Krishna K. Osuri include Indian Institute of Technology Bhubaneswar & Purdue University.
Papers
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Customization of WRF-ARW model with physical parameterization schemes for the simulation of tropical cyclones over North Indian Ocean
TL;DR: In this article, six combinations of physical parameterization schemes (2 PBL Schemes, YSU and MYJ, and 3 convection schemes, KF, BM, and GD) of the WRF-ARW model are employed to obtain the optimum combination for the prediction of tropical cyclones over North Indian Ocean.
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Real-Time Track Prediction of Tropical Cyclones over the North Indian Ocean Using the ARW Model
TL;DR: In this paper, the performance of the Advanced Research version of the Weather Research and Forecasting (ARW) model in real-time prediction of tropical cyclones (TCs) over the north Indian Ocean (NIO) at 27-km resolution is evaluated on the basis of 100 forecasts for 17 TCs during 2007-11.
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Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin
TL;DR: In this article, the authors investigated the impact of different processes on extreme rainfall simulation, by considering a representative event that occurred during 15-18 June 2013 over the Ganga Basin in India, which is located at the foothills of the Himalayas.
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Simulation of Bay of Bengal Tropical Cyclones with WRF Model: Impact of Initial and Boundary Conditions
TL;DR: In this paper, an attempt is made to delineate the relative performances and credentials of GFS, FNL, and NCMRWF global analyses/forecast products as initial and boundary conditions (IBCs) to the WRF-ARW model in the simulation of four Bay of Bengal tropical cyclones (TCs).
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The impact of satellite-derived wind data assimilation on track, intensity and structure of tropical cyclones over the North Indian Ocean
TL;DR: In this paper, the impact of remotely sensed satellite-derived winds on initialization and simulation of tropical cyclones over the North Indian Ocean (NIO) was assessed, with 13 different initial conditions.