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Role of moored buoy data in wave modelling for the north Indian Ocean P Vethamony, K Sudheesh, Rupali P, MT Babu and P Vethamony, K Sudheesh, Rupali P,

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Presentation on theme: "Role of moored buoy data in wave modelling for the north Indian Ocean P Vethamony, K Sudheesh, Rupali P, MT Babu and P Vethamony, K Sudheesh, Rupali P,"— Presentation transcript:

1 Role of moored buoy data in wave modelling for the north Indian Ocean P Vethamony, K Sudheesh, Rupali P, MT Babu and P Vethamony, K Sudheesh, Rupali P, MT Babu and S Jayakumar National Institute of Oceanography, Goa

2 Usefulness of winds and waves: operations of drilling for the exploitation of natural resources in the deep sea ship - routing design of harbours, breakwaters and jetties loading and unloading of products from the vessels preparation of wind and wave atlas estimation of sediment transport and modelling of circulation, wave, oil spill and pollution.

3 In the present study: NCMRWF analysed winds are used as input to the model Bathymetry data are provided at grid points A few case studies have been carried out to test the accuracy of NCMRWF analysed winds and compared them with wind data from buoys Model gives wave statistics - height, period and direction of seas and swells, and, (ii) wave directional spectra. Grid data very close to the buoy location and ±0.5 h temporal variation are selected for comparison. The data of moored buoys are compared with the model output and altimeters (TOPEX).

4 Wave data from data buoys - point measurements - wave - height, period and direction are obtained continuously/ at fixed intervals - accurate data compared to other sources - data can be stored as well as telemetered - expensive and maintenance & logistics problem

5 MIKE 21 OSW and NSW: - OSW is a deep water wave model - NSW is a nearshore wave model - Output of OSW is used in NSW to get shallow water wave characteristics - NSW considers refraction, shoaling, wave - current interaction and bottom dissipation - Fine grid can be provided to NSW - solves the energy balance equation for 2-dimensional wave spectrum

6 The model domain Bounded by 5 °S to 25 °N and 45 °E to 100 °E Objective analysis is used to convert the available NCMRWF winds (1.5  X1.5  grid size for every 6 h interval in the form of U and V components) Wave parameters are generated for 1h interval, but we have analysed 3h output.

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10 Details of buoy data used for comparison Buoy ID Buoy position Region LatLong Deep water buoys DS1 15  30 69  17 off Goa DS2 10  37 72  30 off Lakshadweep DS3 12  30 87  30 off Chennai DS4 18  00 88  00 off Paradip Shallow water buoys SW120°53’71°30’ Gulf of Khambhat SW315°24’73°48’ off Goa SW412°30’75°00’ off Kochi SW508°42’78°21’ off Tuticorin SW612°30’77°30’ off Chennai

11 off Goa off Kochi Comparison between model and buoy significant wave heights (deep water): May – August 2000

12 off Goa off Kochi off Chennai Comparison between model and buoy significant wave periods (deep water): May – August 2000

13 Comparison between model and buoy significant wave direction (deep water): May – August 2000 Off Goa Off Kochi Off Chennai

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17 Correlation coefficients of SWH between model results and moored buoy data (May - Sep 2001) Buoy ID Model (MIKE21 OSW) DS1 (off Goa)0.91 DS2 (off Kochi)0.89 DS3 (off Chennai)0.68 SW1 (off Khambhat)0.87 SW3 (off Goa)0.88 SW4 (off Kochi)0.93

18 Validated model results can be used whenever it is difficult to make measurements Good match of model results with data buoy measurements have increased the reliability of model results

19 Scatter plot of wave heights (m) between MIKE 21(OSW) and buoy May - Sept 2001

20 Match between the altimeter and measured data is very good Altimeter wave heights can substantiate measurements

21 Match between the altimeter and modelled wave heights is very good Now, measured, modelled and altimeter data can compliment one another, wherever, data gaps are identified

22 Thank you


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