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1,636 results on '"Bhattacharya, S K"'

2. Effect of Material Properties in Predicting the Fatigue Life of Offshore Pipelines Subjected to VIV

Author

Saravanan, R., Bhattacharya, S. K., Ramana Murthy, M. V., Panneer Selvam, R., Correia, José A. F. O., Series Editor, De Jesus, Abílio M. P., Series Editor, Ayatollahi, Majid Reza, Advisory Editor, Berto, Filippo, Advisory Editor, Fernández-Canteli, Alfonso, Advisory Editor, Hebdon, Matthew, Advisory Editor, Kotousov, Andrei, Advisory Editor, Lesiuk, Grzegorz, Advisory Editor, Murakami, Yukitaka, Advisory Editor, Carvalho, Hermes, Advisory Editor, Zhu, Shun-Peng, Advisory Editor, Bordas, Stéphane, Advisory Editor, Fantuzzi, Nicholas, Advisory Editor, Susmel, Luca, Advisory Editor, Dutta, Subhrajit, Advisory Editor, Maruschak, Pavlo, Advisory Editor, Fedorova, Elena, Advisory Editor, Pavlou, Dimitrios, editor, Correia, Jose A.F.O., editor, Fazeres-Ferradosa, Tiago, editor, Gudmestad, Ove Tobias, editor, Siriwardane, Sudath C., editor, Lemu, Hirpa, editor, Ersdal, Gerhard, editor, Liyanage, Jayantha P., editor, Hansen, Vidar, editor, Minde, Mona Wetrhus, editor, Ratnayake, Chandima, editor, Delimitis, Andreas, editor, El-Thalji, Idriss, editor, Adasooriya, Nirosha, editor, Samarakoon, Samindi, editor, and Hemmingsen, Tor, editor

Published
2024
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4. Dynamic Behaviour of Inverted Catenary Cold Water Pipelines for Seawater Desalination Project

Author

Saravanan, R., Bhattacharya, S. K., Ramana Murthy, M. V., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Solari, Giovanni, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Murali, K., editor, Sriram, V., editor, Samad, Abdus, editor, and Saha, Nilanjan, editor

Published
2019
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19. Cholera Outbreaks in South-East Asia

Author

Bharati, Kaushik, Bhattacharya, S. K., Compans, Richard W, Series editor, Cooper, Max D., Series editor, Gleba, Yuri Y., Series editor, Honjo, Tasuku, Series editor, Oldstone, Michael B. A., Series editor, Vogt, Peter K., Series editor, Malissen, Bernard, Series editor, Aktories, Klaus, Series editor, Kawaoka, Yoshihiro, Series editor, Rappuoli, Rino, Series editor, Galan, Jorge E., Series editor, Nair, G. Balakrish, editor, and Takeda, Yoshifumi, editor

Published
2014
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36. Response

Author

Ghosh, Prosenjit and Bhattacharya, S. K.

Published
2004

46. Improvement of displacement error of rainfall and wind field forecast associated with landfalling tropical cyclone AMPHAN.

Author

Kotal, S. D. and Bhattacharya, S. K.

Subjects
*RAINFALL, *TROPICAL cyclones, *COMPUTER simulation, *WIND speed
Abstract

Spatial distribution of rainfall and wind speed forecast errors associated with landfalling tropical cyclones (TC) occur significantly due to incorrect location forecast by numerical models. Two major areas of errors are: (i) over-estimation over the model forecast locations and (ii) underestimation over the observed locations of the TCs. A modification method is proposed for real-time improvement of rainfall and wind field forecasts and demonstrated for the typical TC AMPHAN over the Bay of Bengal in 2020. The proposed method to improve the model forecasts is a relocation method through shifting of model forecast locations of TC to the real-time official forecast locations of India Meteorological Department (IMD). The modification is applied to the forecasts obtained from the operational numerical model, the Global Forecast System (GFS) of IMD. Application of the proposed method shows considerable improvement of both the parameters over both the locations. The rainfall forecast errors due to displacement are found to have improved by 44.1%-69.8% and 72.1%-85.2% over the GFS forecast locations and over the observed locations respectively for the respective forecast lead times 48 h, 72 h, and 96 h. Similarly, the wind speed forecasts have improved by 27.6%-56.0% and 63.7%-84.6% over the GFS forecast locations and over the observed locations respectively for the respective forecast lead times 60 h, 72 h, and 84 h. The results show that the proposed technique has capacity to provide improved spatial distributions of rainfall and wind speed forecasts associated with landfalling TCs and useful guidance to operational forecasters. [ABSTRACT FROM AUTHOR]

Published
2022
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