Modeling the ice-attenuated waves in the Great Lakes
A partly coupled wave-ice model with the ability to resolve ice-induced attenuation on waves was developed using the Finite-Volume Community Ocean Model (FVCOM) framework and applied to the Great Lakes. Seven simple, flexible, and efficient parameterization schemes originating from the WAVEWATCH III...
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| Veröffentlicht in: | Ocean dynamics 2020-07, Vol.70 (7), p.991-1003 |
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| creator | Bai, Peng Wang, Jia Chu, Philip Hawley, Nathan Fujisaki-Manome, Ayumi Kessler, James Lofgren, Brent M. Beletsky, Dmitry Anderson, Eric J. Li, Yaru |
| description | A partly coupled wave-ice model with the ability to resolve ice-induced attenuation on waves was developed using the Finite-Volume Community Ocean Model (FVCOM) framework and applied to the Great Lakes. Seven simple, flexible, and efficient parameterization schemes originating from the WAVEWATCH III® IC4 were used to quantify the wave energy loss during wave propagation under ice. The reductions of wind energy input and wave energy dissipation via whitecapping and breaking due to presence of ice were also implemented (i.e., blocking effect). The model showed satisfactory performance when validated by buoy-observed significant wave height in ice-free season at eight stations and satellite-retrieved ice concentration. The simulation ran over the basin-scale, five-lake computational grid provided a whole map of ice-induced wave attenuation in the heavy-ice year 2014, suggesting that except Lake Ontario and central Lake Michigan, lake ice almost completely inhibited waves in the Great Lakes under heavy-ice condition. A practical application of the model in February 2011 revealed that the model could accurately reproduce the ice-attenuated waves when validated by wave observations from bottom-moored acoustic wave and current profiler (AWAC); moreover, the AWAC wave data showed quick responses between waves and ice, suggesting a sensitive relationship between waves and ice and arguing that accurate ice modeling was necessary for quantifying wave-ice interaction. |
| doi_str_mv | 10.1007/s10236-020-01379-z |
| format | Article |
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Seven simple, flexible, and efficient parameterization schemes originating from the WAVEWATCH III® IC4 were used to quantify the wave energy loss during wave propagation under ice. The reductions of wind energy input and wave energy dissipation via whitecapping and breaking due to presence of ice were also implemented (i.e., blocking effect). The model showed satisfactory performance when validated by buoy-observed significant wave height in ice-free season at eight stations and satellite-retrieved ice concentration. The simulation ran over the basin-scale, five-lake computational grid provided a whole map of ice-induced wave attenuation in the heavy-ice year 2014, suggesting that except Lake Ontario and central Lake Michigan, lake ice almost completely inhibited waves in the Great Lakes under heavy-ice condition. A practical application of the model in February 2011 revealed that the model could accurately reproduce the ice-attenuated waves when validated by wave observations from bottom-moored acoustic wave and current profiler (AWAC); moreover, the AWAC wave data showed quick responses between waves and ice, suggesting a sensitive relationship between waves and ice and arguing that accurate ice modeling was necessary for quantifying wave-ice interaction.</description><identifier>ISSN: 1616-7341</identifier><identifier>EISSN: 1616-7228</identifier><identifier>DOI: 10.1007/s10236-020-01379-z</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>17-20 June 2019 ; Acoustic waves ; Atmospheric Sciences ; Blocking effects ; Buoys ; China ; Computational grids ; Computer simulation ; Earth and Environmental Science ; Earth Sciences ; Energy dissipation ; Energy exchange ; Energy loss ; Fluid- and Aerodynamics ; Geophysics/Geodesy ; Ice ; Lake ice ; Lakes ; Modelling ; Monitoring/Environmental Analysis ; Ocean models ; Oceanography ; Parameterization ; Significant wave height ; Topical Collection on the 11th International Workshop on Modeling the Ocean (IWMO) ; Wave attenuation ; Wave data ; Wave energy ; Wave height ; Wave power ; Wave propagation ; Whitecapping ; Wind power ; Wuxi</subject><ispartof>Ocean dynamics, 2020-07, Vol.70 (7), p.991-1003</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-5639c4903c6868378d3610792ed04f5ddde8f71182132f0a6aaee593e5c3bc193</citedby><cites>FETCH-LOGICAL-c319t-5639c4903c6868378d3610792ed04f5ddde8f71182132f0a6aaee593e5c3bc193</cites><orcidid>0000-0003-0313-2829</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10236-020-01379-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10236-020-01379-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Bai, Peng</creatorcontrib><creatorcontrib>Wang, Jia</creatorcontrib><creatorcontrib>Chu, Philip</creatorcontrib><creatorcontrib>Hawley, Nathan</creatorcontrib><creatorcontrib>Fujisaki-Manome, Ayumi</creatorcontrib><creatorcontrib>Kessler, James</creatorcontrib><creatorcontrib>Lofgren, Brent M.</creatorcontrib><creatorcontrib>Beletsky, Dmitry</creatorcontrib><creatorcontrib>Anderson, Eric J.</creatorcontrib><creatorcontrib>Li, Yaru</creatorcontrib><title>Modeling the ice-attenuated waves in the Great Lakes</title><title>Ocean dynamics</title><addtitle>Ocean Dynamics</addtitle><description>A partly coupled wave-ice model with the ability to resolve ice-induced attenuation on waves was developed using the Finite-Volume Community Ocean Model (FVCOM) framework and applied to the Great Lakes. Seven simple, flexible, and efficient parameterization schemes originating from the WAVEWATCH III® IC4 were used to quantify the wave energy loss during wave propagation under ice. The reductions of wind energy input and wave energy dissipation via whitecapping and breaking due to presence of ice were also implemented (i.e., blocking effect). The model showed satisfactory performance when validated by buoy-observed significant wave height in ice-free season at eight stations and satellite-retrieved ice concentration. The simulation ran over the basin-scale, five-lake computational grid provided a whole map of ice-induced wave attenuation in the heavy-ice year 2014, suggesting that except Lake Ontario and central Lake Michigan, lake ice almost completely inhibited waves in the Great Lakes under heavy-ice condition. A practical application of the model in February 2011 revealed that the model could accurately reproduce the ice-attenuated waves when validated by wave observations from bottom-moored acoustic wave and current profiler (AWAC); moreover, the AWAC wave data showed quick responses between waves and ice, suggesting a sensitive relationship between waves and ice and arguing that accurate ice modeling was necessary for quantifying wave-ice interaction.</description><subject>17-20 June 2019</subject><subject>Acoustic waves</subject><subject>Atmospheric Sciences</subject><subject>Blocking effects</subject><subject>Buoys</subject><subject>China</subject><subject>Computational grids</subject><subject>Computer simulation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Energy dissipation</subject><subject>Energy exchange</subject><subject>Energy loss</subject><subject>Fluid- and Aerodynamics</subject><subject>Geophysics/Geodesy</subject><subject>Ice</subject><subject>Lake ice</subject><subject>Lakes</subject><subject>Modelling</subject><subject>Monitoring/Environmental Analysis</subject><subject>Ocean models</subject><subject>Oceanography</subject><subject>Parameterization</subject><subject>Significant wave height</subject><subject>Topical Collection on the 11th International Workshop on Modeling the Ocean (IWMO)</subject><subject>Wave attenuation</subject><subject>Wave data</subject><subject>Wave energy</subject><subject>Wave height</subject><subject>Wave power</subject><subject>Wave propagation</subject><subject>Whitecapping</subject><subject>Wind power</subject><subject>Wuxi</subject><issn>1616-7341</issn><issn>1616-7228</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kMFOwzAMhiMEEmPwApwqcQ7YSZs0RzTBQBriAucoJO7oGO1IWhB7esoK4sbJlvz9v6WPsVOEcwTQFwlBSMVBAAeU2vDtHpugQsW1EOX-7y5zPGRHKa0AUKtcTFh-1wZa180y654pqz1x13XU9K6jkH24d0pZ3exu80iuyxbuhdIxO6jcOtHJz5yyx-urh9kNX9zPb2eXC-4lmo4XShqfG5BelaqUugxSIWgjKEBeFSEEKiuNWAqUogKnnCMqjKTCyyePRk7Z2di7ie1bT6mzq7aPzfDSihwLBIOoB0qMlI9tSpEqu4n1q4ufFsF-27GjHTvYsTs7djuE5BhKA9wsKf5V_5P6Ag_EZgI</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Bai, Peng</creator><creator>Wang, Jia</creator><creator>Chu, Philip</creator><creator>Hawley, Nathan</creator><creator>Fujisaki-Manome, Ayumi</creator><creator>Kessler, James</creator><creator>Lofgren, Brent M.</creator><creator>Beletsky, Dmitry</creator><creator>Anderson, Eric J.</creator><creator>Li, Yaru</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0003-0313-2829</orcidid></search><sort><creationdate>20200701</creationdate><title>Modeling the ice-attenuated waves in the Great Lakes</title><author>Bai, Peng ; Wang, Jia ; Chu, Philip ; Hawley, Nathan ; Fujisaki-Manome, Ayumi ; Kessler, James ; Lofgren, Brent M. ; Beletsky, Dmitry ; Anderson, Eric J. ; Li, Yaru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-5639c4903c6868378d3610792ed04f5ddde8f71182132f0a6aaee593e5c3bc193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>17-20 June 2019</topic><topic>Acoustic waves</topic><topic>Atmospheric Sciences</topic><topic>Blocking effects</topic><topic>Buoys</topic><topic>China</topic><topic>Computational grids</topic><topic>Computer simulation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Energy dissipation</topic><topic>Energy exchange</topic><topic>Energy loss</topic><topic>Fluid- and Aerodynamics</topic><topic>Geophysics/Geodesy</topic><topic>Ice</topic><topic>Lake ice</topic><topic>Lakes</topic><topic>Modelling</topic><topic>Monitoring/Environmental Analysis</topic><topic>Ocean models</topic><topic>Oceanography</topic><topic>Parameterization</topic><topic>Significant wave height</topic><topic>Topical Collection on the 11th International Workshop on Modeling the Ocean (IWMO)</topic><topic>Wave attenuation</topic><topic>Wave data</topic><topic>Wave energy</topic><topic>Wave height</topic><topic>Wave power</topic><topic>Wave propagation</topic><topic>Whitecapping</topic><topic>Wind power</topic><topic>Wuxi</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bai, Peng</creatorcontrib><creatorcontrib>Wang, Jia</creatorcontrib><creatorcontrib>Chu, Philip</creatorcontrib><creatorcontrib>Hawley, Nathan</creatorcontrib><creatorcontrib>Fujisaki-Manome, Ayumi</creatorcontrib><creatorcontrib>Kessler, James</creatorcontrib><creatorcontrib>Lofgren, Brent M.</creatorcontrib><creatorcontrib>Beletsky, Dmitry</creatorcontrib><creatorcontrib>Anderson, Eric J.</creatorcontrib><creatorcontrib>Li, Yaru</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Ocean dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bai, Peng</au><au>Wang, Jia</au><au>Chu, Philip</au><au>Hawley, Nathan</au><au>Fujisaki-Manome, Ayumi</au><au>Kessler, James</au><au>Lofgren, Brent M.</au><au>Beletsky, Dmitry</au><au>Anderson, Eric J.</au><au>Li, Yaru</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling the ice-attenuated waves in the Great Lakes</atitle><jtitle>Ocean dynamics</jtitle><stitle>Ocean Dynamics</stitle><date>2020-07-01</date><risdate>2020</risdate><volume>70</volume><issue>7</issue><spage>991</spage><epage>1003</epage><pages>991-1003</pages><issn>1616-7341</issn><eissn>1616-7228</eissn><abstract>A partly coupled wave-ice model with the ability to resolve ice-induced attenuation on waves was developed using the Finite-Volume Community Ocean Model (FVCOM) framework and applied to the Great Lakes. Seven simple, flexible, and efficient parameterization schemes originating from the WAVEWATCH III® IC4 were used to quantify the wave energy loss during wave propagation under ice. The reductions of wind energy input and wave energy dissipation via whitecapping and breaking due to presence of ice were also implemented (i.e., blocking effect). The model showed satisfactory performance when validated by buoy-observed significant wave height in ice-free season at eight stations and satellite-retrieved ice concentration. The simulation ran over the basin-scale, five-lake computational grid provided a whole map of ice-induced wave attenuation in the heavy-ice year 2014, suggesting that except Lake Ontario and central Lake Michigan, lake ice almost completely inhibited waves in the Great Lakes under heavy-ice condition. A practical application of the model in February 2011 revealed that the model could accurately reproduce the ice-attenuated waves when validated by wave observations from bottom-moored acoustic wave and current profiler (AWAC); moreover, the AWAC wave data showed quick responses between waves and ice, suggesting a sensitive relationship between waves and ice and arguing that accurate ice modeling was necessary for quantifying wave-ice interaction.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10236-020-01379-z</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-0313-2829</orcidid></addata></record> |
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| subjects | 17-20 June 2019 Acoustic waves Atmospheric Sciences Blocking effects Buoys China Computational grids Computer simulation Earth and Environmental Science Earth Sciences Energy dissipation Energy exchange Energy loss Fluid- and Aerodynamics Geophysics/Geodesy Ice Lake ice Lakes Modelling Monitoring/Environmental Analysis Ocean models Oceanography Parameterization Significant wave height Topical Collection on the 11th International Workshop on Modeling the Ocean (IWMO) Wave attenuation Wave data Wave energy Wave height Wave power Wave propagation Whitecapping Wind power Wuxi |
| title | Modeling the ice-attenuated waves in the Great Lakes |
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