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Raghu Nadimpalli

Researcher at Indian Institute of Technology Bhubaneswar

Publications -  26
Citations -  362

Raghu Nadimpalli is an academic researcher from Indian Institute of Technology Bhubaneswar. The author has contributed to research in topics: Tropical cyclone & Hurricane Weather Research and Forecasting model. The author has an hindex of 9, co-authored 20 publications receiving 199 citations. Previous affiliations of Raghu Nadimpalli include Indian Institutes of Technology & Purdue University.

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Improved prediction of severe thunderstorms over the Indian Monsoon region using high-resolution soil moisture and temperature initialization.

TL;DR: Realistic land conditions improved mass flux, convective updrafts and diabatic heating in the boundary layer that contributed to low level positive potential vorticity and provided strong support to the role land conditions play in impacting the deep convection over the IMR.
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Prediction of rapid intensification of tropical cyclone Phailin over the Bay of Bengal using the HWRF modelling system

TL;DR: In this paper, the impact of cloud-permitting resolution and improved representation of multiscale processes on the ability to predict rapid intensification and structure of Phailin (2013), one of the strongest tropical cyclones over Bay of Bengal.
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On the processes influencing rapid intensity changes of tropical cyclones over the Bay of Bengal.

TL;DR: A numerical investigation of the processes that influenced the contrasting rapid intensity changes in Tropical Cyclones Phailin and Lehar (2013) over the Bay of Bengal finds that in Lehar’s sheared vortex, the juxtaposition in the azimuthal phasing of the asymmetrically distributed downward eddy flux of moist-entropy through the top of the boundary layer establishes a pathway for the low moist-ENTropy air to intrude into the vortex from the environment.
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Role of Sea Surface Temperature in Modulating Life Cycle of Tropical Cyclones over Bay of Bengal

TL;DR: In this article, the authors assess the impact of updating realistic sea surface temperature (SST) in TC lifetime on track, intensity and rainfall of TCs using the Hurricane Weather Research Forecast (HWRF) model.
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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

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.