Description and Analysis of the Ocean Component of NOAA’s Operational Hurricane Weather Research and Forecasting Model (HWRF)
The Princeton Ocean Model for Tropical Cyclones (POM-TC), a version of the three-dimensional primitive equation numerical ocean model known as the Princeton Ocean Model, was the ocean component of NOAA's operational Hurricane Weather Research and Forecast Model (HWRF) from 2007 to 2013. The cou...
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description | The Princeton Ocean Model for Tropical Cyclones (POM-TC), a version of the three-dimensional primitive equation numerical ocean model known as the Princeton Ocean Model, was the ocean component of NOAA's operational Hurricane Weather Research and Forecast Model (HWRF) from 2007 to 2013. The coupled HWRF-POM-TC system facilitates accurate tropical cyclone intensity forecasts through proper simulation of the evolving SST field under simulated tropical cyclones. In this study, the 2013 operational version of HWRF is used to analyze the POM-TC ocean temperature response in retrospective HWRF-POM-TC forecasts of Atlantic Hurricanes Earl (2010), Igor (2010), Irene (2011), Isaac (2012), and Leslie (2012) against remotely sensed and in situ SST and subsurface ocean temperature observations. The model generally underestimates the hurricane-induced upper-ocean cooling, particularly far from the storm track, as well as the upwelling and downwelling oscillation in the cold wake, compared with observations. Nonetheless, the timing of the model SST cooling is generally accurate (after accounting for along-track timing errors), and the ocean model's vertical temperature structure is generally in good agreement with observed temperature profiles from airborne expendable bathythermographs. |
doi_str_mv | 10.1175/JTECH-D-14-00063.1 |
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The coupled HWRF-POM-TC system facilitates accurate tropical cyclone intensity forecasts through proper simulation of the evolving SST field under simulated tropical cyclones. In this study, the 2013 operational version of HWRF is used to analyze the POM-TC ocean temperature response in retrospective HWRF-POM-TC forecasts of Atlantic Hurricanes Earl (2010), Igor (2010), Irene (2011), Isaac (2012), and Leslie (2012) against remotely sensed and in situ SST and subsurface ocean temperature observations. The model generally underestimates the hurricane-induced upper-ocean cooling, particularly far from the storm track, as well as the upwelling and downwelling oscillation in the cold wake, compared with observations. Nonetheless, the timing of the model SST cooling is generally accurate (after accounting for along-track timing errors), and the ocean model's vertical temperature structure is generally in good agreement with observed temperature profiles from airborne expendable bathythermographs.</description><identifier>ISSN: 0739-0572</identifier><identifier>EISSN: 1520-0426</identifier><identifier>DOI: 10.1175/JTECH-D-14-00063.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Bathythermographs ; Case studies ; Climate ; Computer simulation ; Cooling ; Cyclones ; Downwelling ; Hurricane research ; Hurricanes ; Marine ; Mathematical models ; Modelling ; NOAA ; Ocean circulation ; Ocean models ; Ocean temperature ; Oceanography ; Oceans ; Primitive equations ; Remote sensing ; Salinity ; Sea surface ; Storm tracks ; Storms ; Temperature profile ; Temperature profiles ; Temperature structure ; Tropical cyclone intensities ; Tropical cyclones ; Upwelling ; Weather ; Weather forecasting ; XBTs</subject><ispartof>Journal of atmospheric and oceanic technology, 2015-01, Vol.32 (1), p.144-163</ispartof><rights>Copyright American Meteorological Society Jan 2015</rights><rights>Copyright American Meteorological Society 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c479t-41b0c037fc7783f651d87aa60b0f917b02e4d64592698618620e0fc786ce757b3</citedby><cites>FETCH-LOGICAL-c479t-41b0c037fc7783f651d87aa60b0f917b02e4d64592698618620e0fc786ce757b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,3668,27901,27902</link.rule.ids></links><search><creatorcontrib>Yablonsky, Richard M</creatorcontrib><creatorcontrib>Ginis, Isaac</creatorcontrib><creatorcontrib>Thomas, Biju</creatorcontrib><creatorcontrib>Tallapragada, Vijay</creatorcontrib><creatorcontrib>Sheinin, Dmitry</creatorcontrib><creatorcontrib>Bernardet, Ligia</creatorcontrib><title>Description and Analysis of the Ocean Component of NOAA’s Operational Hurricane Weather Research and Forecasting Model (HWRF)</title><title>Journal of atmospheric and oceanic technology</title><description>The Princeton Ocean Model for Tropical Cyclones (POM-TC), a version of the three-dimensional primitive equation numerical ocean model known as the Princeton Ocean Model, was the ocean component of NOAA's operational Hurricane Weather Research and Forecast Model (HWRF) from 2007 to 2013. The coupled HWRF-POM-TC system facilitates accurate tropical cyclone intensity forecasts through proper simulation of the evolving SST field under simulated tropical cyclones. In this study, the 2013 operational version of HWRF is used to analyze the POM-TC ocean temperature response in retrospective HWRF-POM-TC forecasts of Atlantic Hurricanes Earl (2010), Igor (2010), Irene (2011), Isaac (2012), and Leslie (2012) against remotely sensed and in situ SST and subsurface ocean temperature observations. The model generally underestimates the hurricane-induced upper-ocean cooling, particularly far from the storm track, as well as the upwelling and downwelling oscillation in the cold wake, compared with observations. Nonetheless, the timing of the model SST cooling is generally accurate (after accounting for along-track timing errors), and the ocean model's vertical temperature structure is generally in good agreement with observed temperature profiles from airborne expendable bathythermographs.</description><subject>Bathythermographs</subject><subject>Case studies</subject><subject>Climate</subject><subject>Computer simulation</subject><subject>Cooling</subject><subject>Cyclones</subject><subject>Downwelling</subject><subject>Hurricane research</subject><subject>Hurricanes</subject><subject>Marine</subject><subject>Mathematical models</subject><subject>Modelling</subject><subject>NOAA</subject><subject>Ocean circulation</subject><subject>Ocean models</subject><subject>Ocean temperature</subject><subject>Oceanography</subject><subject>Oceans</subject><subject>Primitive equations</subject><subject>Remote sensing</subject><subject>Salinity</subject><subject>Sea surface</subject><subject>Storm 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M</au><au>Ginis, Isaac</au><au>Thomas, Biju</au><au>Tallapragada, Vijay</au><au>Sheinin, Dmitry</au><au>Bernardet, Ligia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Description and Analysis of the Ocean Component of NOAA’s Operational Hurricane Weather Research and Forecasting Model (HWRF)</atitle><jtitle>Journal of atmospheric and oceanic technology</jtitle><date>2015-01-01</date><risdate>2015</risdate><volume>32</volume><issue>1</issue><spage>144</spage><epage>163</epage><pages>144-163</pages><issn>0739-0572</issn><eissn>1520-0426</eissn><abstract>The Princeton Ocean Model for Tropical Cyclones (POM-TC), a version of the three-dimensional primitive equation numerical ocean model known as the Princeton Ocean Model, was the ocean component of NOAA's operational Hurricane Weather Research and Forecast Model (HWRF) from 2007 to 2013. The coupled HWRF-POM-TC system facilitates accurate tropical cyclone intensity forecasts through proper simulation of the evolving SST field under simulated tropical cyclones. In this study, the 2013 operational version of HWRF is used to analyze the POM-TC ocean temperature response in retrospective HWRF-POM-TC forecasts of Atlantic Hurricanes Earl (2010), Igor (2010), Irene (2011), Isaac (2012), and Leslie (2012) against remotely sensed and in situ SST and subsurface ocean temperature observations. The model generally underestimates the hurricane-induced upper-ocean cooling, particularly far from the storm track, as well as the upwelling and downwelling oscillation in the cold wake, compared with observations. Nonetheless, the timing of the model SST cooling is generally accurate (after accounting for along-track timing errors), and the ocean model's vertical temperature structure is generally in good agreement with observed temperature profiles from airborne expendable bathythermographs.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/JTECH-D-14-00063.1</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bathythermographs Case studies Climate Computer simulation Cooling Cyclones Downwelling Hurricane research Hurricanes Marine Mathematical models Modelling NOAA Ocean circulation Ocean models Ocean temperature Oceanography Oceans Primitive equations Remote sensing Salinity Sea surface Storm tracks Storms Temperature profile Temperature profiles Temperature structure Tropical cyclone intensities Tropical cyclones Upwelling Weather Weather forecasting XBTs |
title | Description and Analysis of the Ocean Component of NOAA’s Operational Hurricane Weather Research and Forecasting Model (HWRF) |
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