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A. N. V. Satyanarayana
Researcher at Indian Institute of Technology Kharagpur
Publications - 74
Citations - 1501
A. N. V. Satyanarayana is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Planetary boundary layer & Weather Research and Forecasting Model. The author has an hindex of 20, co-authored 66 publications receiving 1123 citations. Previous affiliations of A. N. V. Satyanarayana include National University of Singapore & Indian Institutes of Technology.
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Temporal dynamics of CO2 fluxes and profiles over a Central European city
TL;DR: In the context of the Basel Urban Boundary Layer Experiment (BUBBLE) as mentioned in this paper, the CO2 fluxes are well correlated with the traffic load, with their maxima occurring together in late afternoon and early morning.
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Coastal vulnerability assessment studies over India: a review
TL;DR: In this paper, the authors focused on different vulnerabilities to coast of India and one of the assessment methods, coastal vulnerability index methodology, applied over India and focused on the different vulnerabilities of Indian coast.
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Study of thermodynamic indices in forecasting pre-monsoon thunderstorms over Kolkata during STORM pilot phase 2006–2008
TL;DR: In this article, an attempt has been made to assess the skill of various indices and parameters and to propose suitable threshold values in forecasting the occurrence of thunderstorm activity at Kolkata.
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Assessment of urbanisation and urban heat island intensities using landsat imageries during 2000 – 2018 over a sub-tropical Indian City
TL;DR: In this paper, an attempt has been made to study the spatiotemporal variation in the urban heat islands (UHIs) and their relationship with LULC during 2000-2018, over Chandigarh (30° 43′ 59″ N, 76° 46′ 46″ E), a planned sub-tropical Indian city, using the remote sensing techniques.
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Urban heat island intensity during winter over metropolitan cities of India using remote-sensing techniques: impact of urbanization.
TL;DR: In this paper, the spatial relationship of land-use and land cover changes and land surface temperature (LST) using remote-sensing and geographical information system techniqis is quantified.