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Jena, Basanta Kumar
- Surface Current and Wave Measurement during Cyclone Phailin by High Frequency Radars along the Indian Coast
Abstract Views :297 |
PDF Views:105
Authors
Affiliations
1 National Institute of Ocean Technology, Ministry of Earth Science, Chennai 600 100, IN
1 National Institute of Ocean Technology, Ministry of Earth Science, Chennai 600 100, IN
Source
Current Science, Vol 108, No 3 (2015), Pagination: 405-409Abstract
Cyclone Phailin originated in the east central Bay of Bengal (BoB) and crossed into the Indian mainland after traversing through the BoB. High frequency radar (HFR) operated by the National Institute of Ocean Technology could track the surface currents and high wave activity within its measuring limits. The radar data provide valuable information on the surface dynamics during the cyclone period. The HFR observations compare well with those of wave rider buoy. This opens up opportunities for observing the wave conditions during the cyclonic period over longer distances from the shore. This method is relatively more robust as HFR is less likely to be disrupted due to the passage of cyclones, unlike moored systems.Keywords
Coastal Currents, Cyclone, Waves, High Frequency Radar, Remote Sensing.- Seasonal Variation in Nearshore Wave Characteristics off Cuddalore, Southeast Coast of Tamil Nadu, India
Abstract Views :233 |
PDF Views:103
Authors
Affiliations
1 Coastal and Environmental Engineering Division, National Institute of Ocean Technology, Pallikaranai, Chennai 600 100, IN
1 Coastal and Environmental Engineering Division, National Institute of Ocean Technology, Pallikaranai, Chennai 600 100, IN
Source
Current Science, Vol 112, No 10 (2017), Pagination: 2115-2121Abstract
Wave data collected using wave rider buoy between January 2010 and January 2011 off Cuddalore coast, Tamil Nadu, India, have been analysed season-wise in this study. Wave steepness method was used for the separation of sea and swell wave parameters. Also parameters such as significant wave height of total wave, sea and swell (Hs, Hsw and Hss), zero crossing periods (Tz, Tsw and Tss) and mean wave directions (θ, θsw and θss) have been studied. The study shows a distinct shift in sea wave direction of about 90° between June and October as well as November and February. Throughout the year, the predominant swell direction remained around 135°. The contribution in total Hs by Hsw was 76% and the remaining 24% by Hss in the yearly cycle. The sea wave height was dominant by more than 90% during November to May. Regression analysis showed good positive Pearson's correlation of 0.94 between Hs and Hsw; however, it was 0.65 between Hs and Hss. The maximum and significant wave heights of 5.7 and 2.7 m were recorded during cyclone Jal on 7 November 2010.Keywords
Regression Analysis, Seasonal Variation, Spectral Energy Density, Wave Characteristics.References
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- Simulated Wave Climate and Variability Over the North Indian Ocean
Abstract Views :241 |
PDF Views:83
Authors
Affiliations
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
Source
Current Science, Vol 118, No 11 (2020), Pagination: 1746-1752Abstract
The wave parameters and long-term statistics of wave height are important parameters required for coastal/ offshore engineering design and analysis. The 20-year wave simulation has been carried out using MIKE-21 spectral wave model developed by the Danish Hydraulic Institute. The model was forced with the wind data from ECMWF operational archive wind data from 1998 to 2017. The MIKE C-MAP bathymetry data for less than 250 m depth in the North Indian Ocean and ETOPO1 for above 250 m depth were utilized for model bathymetry. The wave measurements available at various depths in the North Indian Ocean were utilized to validate model result. Wave parameters extracted at 27 locations at an interval of 1 degree at 25 m water depth were used for showing monthly variability of significant wave height, average wave period and mean wave direction. The extreme value analysis of significant wave height was carried out using Weibull analysis for 2, 5, 20 and 50 years return period. The maximum wave height of 5.7 m near Odisha coast in 50 years return period was calculated from the extreme value analysis.Keywords
Extreme Value Analysis, Numerical Model, Wave Direction, Wave Height, Wave Period.References
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