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Aniruddha Bhattacharya

Researcher at University of Calcutta

Publications -  10
Citations -  144

Aniruddha Bhattacharya is an academic researcher from University of Calcutta. The author has contributed to research in topics: Disdrometer & Precipitation. The author has an hindex of 6, co-authored 10 publications receiving 119 citations.

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Improving Rain Attenuation Estimation: Modelling of Effective Path Length Using Ku-Band Measurements at a Tropical Location

TL;DR: In this article, a simple and realistic approach has been demonstrated for better estimation of rain attenuation using Ku-band signal propagation data and ground rain rate measurements at Kolkata, India.
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Microphysical characteristics of clouds and precipitation during pre-monsoon and monsoon period over a tropical Indian station

TL;DR: In this article, the authors examined the characteristics of clouds and precipitation during the pre-monsoon (PM) and monsoon months (MM) over the tropical station Kolkata (22.65°N, 88.45°E), which is located in the eastern part of India.
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Rain-Induced Scintillations and Attenuation of Ku-Band Satellite Signals at a Tropical Location

TL;DR: A technique is proposed to obtain some effective values of structure constant (Cn2) of refractive-index variation from the experimental observations of σ and rain rate, resulting in the decrease of fast fluctuations with rain attenuation.
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Multi-technique observations on precipitation and other related phenomena during cyclone Aila at a tropical location

TL;DR: In this article, the strong convective activities manifested through rainfall during the cyclone were studied with multi-technique observations involving micro rain radar, disdrometer, rain gauges, and a Ku-band satellite signal receiving system.

Some characteristics of earth-space path propagation phenomena at a tropical location

TL;DR: In this paper, the impact of rain drop size distribution (DSD) on determining the extent of depolarization at the tropical location is investigated. And the lognormal distribution has been found to be more accurate than the gamma distribution to model rain drop sizes in the present case.