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Warrior, H. V.
- Wide Area Surveillance Using Ship Wakes
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Authors
Affiliations
1 Department of Ocean Engineering and Naval Architecture, Indian Institute of Technology Kharagpur, Kharagpur 721 302, IN
2 Naval Physical Oceanography Laboratory, Thrikkakara, Kochi 682 021, IN
1 Department of Ocean Engineering and Naval Architecture, Indian Institute of Technology Kharagpur, Kharagpur 721 302, IN
2 Naval Physical Oceanography Laboratory, Thrikkakara, Kochi 682 021, IN
Source
Current Science, Vol 114, No 08 (2018), Pagination: 1606-1607Abstract
The idea of wide area surveillance (WAS) is to develop and utilize sensors which give continuous views of expansive areas. The traditional camera/optical/acoustic methods can only monitor small area, while the WAS system can monitor an area several thousand times larger. WAS is usually provided by airborne/satellite-borne cameras which cover a wide swath of area. It was primarily used in the US as military surveillance technology for safeguarding the homeland. WAS technology is slowly making its way from the battlefields into the Police/Coast Guard Departments in all countries.Full Text
References
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- Study of Sea Surface Salinity Due to River Fluxes Using the CMIP6 Models for the Bay of Bengal Region
Abstract Views :92 |
PDF Views:59
Authors
Affiliations
1 Department of Ocean Engineering and Naval Architecture, Indian Institute of Technology, Kharagpur 721 302, India., IN
1 Department of Ocean Engineering and Naval Architecture, Indian Institute of Technology, Kharagpur 721 302, India., IN
Source
Current Science, Vol 124, No 11 (2023), Pagination: 1290-1299Abstract
The large influx of freshwater and mixing of different water masses make simulating salinity challenging for the Bay of Bengal (BoB) region. This study analyses the variability of the simulated sea surface salinity (SSS) using models present in the Coupled Modal Intercomparison Project Phase 6 (CMIP6). We collected data for 37 models from CMIP6 and validated them against the Argo (2005–14) and Aquarius (2011–14) data. Based on the skill scores, we narrowed down our search to one CMIP6 model, viz. CIESM. This model was used to study the freshwater spread (FWS) in BoB during different seasons. We found that the correlation between pH and FWS was appreciable. The CIESM model was then used to project the future trends for 10 years for the tier-1 scenario. The trend analysis of future projections revealed a positive trend in SSP1-2.6, with a decreasing trend in SSP2-4.5 and SSP5-8.5.Keywords
Climate Models, Freshwater Spread, River Fluxes, Skill Score, Trend Analysis.Full Text
References
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- Kumar, V., Joshi, A. and Warrior, H., Assessment of the CMIP6 mod-els to study interseasonal SST variabilities in the BoB. ISH J. Hy-draul. Eng., 2022, 43, 1–9.
- Sumangala, D. and Warrior, H., Coastal modelling incorporating artificial neural networks for improved velocity prediction. ISH J. Hydraul. Eng., 2022, 28(Suppl. 1), 261–271.
- Warrior, H. and Carder, K., An optical model for heat and salt budget estimation for shallow seas. J. Geophys. Res.: Oceans, 2007, 112(C12).
- Lin, X., Qiu, Y., Cha, J. and Guo, X., Assessment of Aquarius sea surface salinity with Argo in the Bay of Bengal. Int. J. Remote Sensing, 2019, 40(22), 8547–8565.
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- Du, Y., Zhang, Y. and Shi, J., Relationship between sea surface salinity and ocean circulation and climate change. Sci. China Earth Sci., 2019, 62(5), 771–782.
- Sreeush, M. G., Rajendran, S., Valsala, V., Pentakota, S., Prasad, K. and Murtugudde, R., Variability, trend and controlling factors of Ocean acidification over western Arabian Sea upwelling region. Mar. Chem., 2019, 209, 14–24.
- Sridevi, B. and Sarma, V., Role of river discharge and warming on ocean acidification and pCO2 levels in the Bay of Bengal. Tellus B, 2021, 73(1), 1–20.
- Madkaiker, K., Valsala, V., Sreeush, M. G., Mallissery, A., Chakraborty, K. and Deshpande, A., Understanding the seasonality, trends and controlling factors of Indian Ocean acidification over distinctive bio-provinces. J. Geophys. Res., 2023, 128; https://doi.org/ 10.1029/2022JG006926.
- Chakraborty, K., Valsala, V., Bhattacharya, T. and Ghosh, J., Sea-sonal cycle of surface ocean pCO2 and pH in the northern Indian Ocean and their controlling factors. Prog. Oceanogr., 2021, 198, 102683.
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- Joshi, A. and Warrior, H., Comprehending the role of different mechanisms and drivers affecting the sea-surface pCO2 and the air– sea CO2 fluxes in the Bay of Bengal: a modeling study. Mar. Chem., 2022, 83, 245–251.
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