Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/42020
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dc.contributor.authorKalyani, M-
dc.contributor.authorLatha, G-
dc.contributor.authorSannasiraj, S A-
dc.contributor.authorVenkatesan, R-
dc.date.accessioned2017-05-29T10:42:36Z-
dc.date.available2017-05-29T10:42:36Z-
dc.date.issued2017-06-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/42020-
dc.description1083-1090en_US
dc.description.abstractSignificant wave height assessment in Bay of Bengal derived from third generation Wave Model (WAM cycle 4) has been improved by assimilating with continuous three hourly data from five moored buoys of National Institute of Ocean Technology using optimum interpolation technique. Covariance based weight function (gain) used in the study captures the model physics behind wind-wave process while distributing the errors at any buoy location. Gain composition at different buoy locations, due to assimilation of each buoy has been reported for both southwest (July) and northeast (November) monsoons, for year 2004. Qualitative and quantitative improvement in significant wave height due to buoy data assimilation during these two seasons are presented with reference to changing wind and wave characteristics. The order of improvement is found to be proportional to the magnitude of deviations found with respect to the measurements. Considerable model area has been influenced by assimilation.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.46(06) [June 2017]en_US
dc.subjectSignificant wave heighten_US
dc.subjectWAMen_US
dc.subjectBay of Bengalen_US
dc.subjectMoored buoyen_US
dc.subjectOptimum interpolationen_US
dc.subjectAssimilationen_US
dc.titleBuoy data assimilation to improve wave height assessment in Bay of Bengal during monsoon seasonsen_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.46(06) [June 2017]

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