Influence of Bathymetry on the Performance of Regional Scale Model
A three dimensional ocean circulation model (Princeton Ocean Model) is utilised to study the thermohaline variability of the eastern Arabian Sea associated with changes in the three input bathymetry data sets, viz. ETOPO5 (E5), Modified ETOPO5 (ME5) and ME5 further modified based on actual fine re...
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| Veröffentlicht in: | Defense science journal 2018-01, Vol.68 (1), p.104 |
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| creator | Anand, P. Kumar, P.V. Hareesh |
| description | A three dimensional ocean circulation model (Princeton Ocean Model) is utilised to study the thermohaline variability of the eastern Arabian Sea associated with changes in the three input bathymetry data sets, viz. ETOPO5 (E5), Modified ETOPO5 (ME5) and ME5 further modified based on actual fine resolution data collected using Multibeam echo-sounder (MEN5). The temperature and salinity measurements made onboard INS Sagardhwani for the period July 2000 is utilised to validate the model. Simulations of temperature using Princeton Ocean Model show good improvement in the coastal region with MEN5 bathymetry data (RMS error of 0.71 °C and correlation coefficient of 0.98). The study highlights the choice of fine resolution bathymetry data in the simulation of nearshore processes, where bathymetry is very complex. |
| doi_str_mv | 10.14429/dsj.68.11408 |
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Hareesh</creatorcontrib><title>Influence of Bathymetry on the Performance of Regional Scale Model</title><title>Defense science journal</title><description> A three dimensional ocean circulation model (Princeton Ocean Model) is utilised to study the thermohaline variability of the eastern Arabian Sea associated with changes in the three input bathymetry data sets, viz. ETOPO5 (E5), Modified ETOPO5 (ME5) and ME5 further modified based on actual fine resolution data collected using Multibeam echo-sounder (MEN5). The temperature and salinity measurements made onboard INS Sagardhwani for the period July 2000 is utilised to validate the model. Simulations of temperature using Princeton Ocean Model show good improvement in the coastal region with MEN5 bathymetry data (RMS error of 0.71 °C and correlation coefficient of 0.98). The study highlights the choice of fine resolution bathymetry data in the simulation of nearshore processes, where bathymetry is very complex.</description><subject>Bathymetry</subject><subject>Coastal zone</subject><subject>Computer simulation</subject><subject>Correlation coefficients</subject><subject>Ocean circulation</subject><subject>Ocean currents</subject><subject>Ocean models</subject><subject>Scale models</subject><subject>Three dimensional models</subject><issn>0011-748X</issn><issn>0976-464X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNotkEtPAjEUhRujiYgu3TdxPdh2-pguhSiSYDQ-EnbNnXIrkGGK7bDg3zsBVucsvpycfITcczbiUgr7uMybka5GnEtWXZABs0YXUsvFZd8Z54WR1eKa3OS8YUxZU7EBGc_a0Oyx9UhjoGPoVoctdulAY0u7FdIPTCGmLZyBT_xdxxYa-uWhQfoWl9jckqsATca7cw7Jz8vz9-S1mL9PZ5OneeGFVl0RkGtrUFgugtBVzcNSeCskMF9CbSujahlkCABguDIgao8SfF1bKxkAlkPycNrdpfi3x9y5Tdyn_kx2golSCcmV6qniRPkUc04Y3C6tt5AOjjN31OR6TU5X7qip_Adn2VtB</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Anand, P.</creator><creator>Kumar, P.V. 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Hareesh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c265t-fe1697e2912f268b1fd2c924a0c3ab9875b4f4ffaaa7157a2bce4acbb9940aae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bathymetry</topic><topic>Coastal zone</topic><topic>Computer simulation</topic><topic>Correlation coefficients</topic><topic>Ocean circulation</topic><topic>Ocean currents</topic><topic>Ocean models</topic><topic>Scale models</topic><topic>Three dimensional models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anand, P.</creatorcontrib><creatorcontrib>Kumar, P.V. 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Hareesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of Bathymetry on the Performance of Regional Scale Model</atitle><jtitle>Defense science journal</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>68</volume><issue>1</issue><spage>104</spage><pages>104-</pages><issn>0011-748X</issn><eissn>0976-464X</eissn><abstract> A three dimensional ocean circulation model (Princeton Ocean Model) is utilised to study the thermohaline variability of the eastern Arabian Sea associated with changes in the three input bathymetry data sets, viz. ETOPO5 (E5), Modified ETOPO5 (ME5) and ME5 further modified based on actual fine resolution data collected using Multibeam echo-sounder (MEN5). The temperature and salinity measurements made onboard INS Sagardhwani for the period July 2000 is utilised to validate the model. Simulations of temperature using Princeton Ocean Model show good improvement in the coastal region with MEN5 bathymetry data (RMS error of 0.71 °C and correlation coefficient of 0.98). The study highlights the choice of fine resolution bathymetry data in the simulation of nearshore processes, where bathymetry is very complex.</abstract><cop>New Delhi</cop><pub>Defence Scientific Information & Documentation Centre</pub><doi>10.14429/dsj.68.11408</doi><orcidid>https://orcid.org/0000-0003-1028-8047</orcidid></addata></record> |
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| language | eng |
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| subjects | Bathymetry Coastal zone Computer simulation Correlation coefficients Ocean circulation Ocean currents Ocean models Scale models Three dimensional models |
| title | Influence of Bathymetry on the Performance of Regional Scale Model |
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