Can Climate Models Capture the Structure of Extratropical Cyclones?
Composites of wind speeds, equivalent potential temperature, mean sea level pressure, vertical velocity, and relative humidity have been produced for the 100 most intense extratropical cyclones in the Northern Hemisphere winter for the 40-yr ECMWF Re-Analysis (ERA-40) and the high resolution global...
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description | Composites of wind speeds, equivalent potential temperature, mean sea level pressure, vertical velocity, and relative humidity have been produced for the 100 most intense extratropical cyclones in the Northern Hemisphere winter for the 40-yr ECMWF Re-Analysis (ERA-40) and the high resolution global environment model (HiGEM). Features of conceptual models of cyclone structure—the warm conveyor belt, cold conveyor belt, and dry intrusion—have been identified in the composites from ERA-40 and compared to HiGEM. Such features can be identified in the composite fields despite the smoothing that occurs in the compositing process. The surface features and the three-dimensional structure of the cyclones in HiGEM compare very well with those from ERA-40. The warm conveyor belt is identified in the temperature and wind fields as a mass of warm air undergoing moist isentropic uplift and is very similar in ERA-40 and HiGEM. The rate of ascent is lower in HiGEM, associated with a shallower slope of the moist isentropes in the warm sector. There are also differences in the relative humidity fields in the warm conveyor belt. In ERA-40, the high values of relative humidity are strongly associated with the moist isentropic uplift, whereas in HiGEM these are not so strongly associated. The cold conveyor belt is identified as rearward flowing air that undercuts the warm conveyor belt and produces a low-level jet, and is very similar in HiGEM and ERA-40. The dry intrusion is identified in the 500-hPa vertical velocity and relative humidity. The structure of the dry intrusion compares well between HiGEM and ERA-40 but the descent is weaker in HiGEM because of weaker along-isentrope flow behind the composite cyclone. HiGEM’s ability to represent the key features of extratropical cyclone structure can give confidence in future predictions from this model. |
doi_str_mv | 10.1175/2009jcli3318.1 |
format | Article |
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Features of conceptual models of cyclone structure—the warm conveyor belt, cold conveyor belt, and dry intrusion—have been identified in the composites from ERA-40 and compared to HiGEM. Such features can be identified in the composite fields despite the smoothing that occurs in the compositing process. The surface features and the three-dimensional structure of the cyclones in HiGEM compare very well with those from ERA-40. The warm conveyor belt is identified in the temperature and wind fields as a mass of warm air undergoing moist isentropic uplift and is very similar in ERA-40 and HiGEM. The rate of ascent is lower in HiGEM, associated with a shallower slope of the moist isentropes in the warm sector. There are also differences in the relative humidity fields in the warm conveyor belt. In ERA-40, the high values of relative humidity are strongly associated with the moist isentropic uplift, whereas in HiGEM these are not so strongly associated. The cold conveyor belt is identified as rearward flowing air that undercuts the warm conveyor belt and produces a low-level jet, and is very similar in HiGEM and ERA-40. The dry intrusion is identified in the 500-hPa vertical velocity and relative humidity. The structure of the dry intrusion compares well between HiGEM and ERA-40 but the descent is weaker in HiGEM because of weaker along-isentrope flow behind the composite cyclone. HiGEM’s ability to represent the key features of extratropical cyclone structure can give confidence in future predictions from this model.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/2009jcli3318.1</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Air currents ; Air temperature ; Atmosphere ; Belt conveyors ; Case studies ; Climate ; Climate change ; Climate models ; Climatology ; Clouds ; Cognitive models ; Cold ; Composite materials ; Conveyor lines ; Cyclone structure ; Cyclones ; Datasets ; Earth, ocean, space ; Environment models ; Equivalent potential temperature ; Exact sciences and technology ; External geophysics ; Extratropical cyclones ; Geophysics. Techniques, methods, instrumentation and models ; Identification ; Intrusion ; Isentrope ; Low-level jets ; Marine ; Mean sea level ; Meteorology ; Modelling ; Northern Hemisphere ; Potential temperature ; Precipitation ; Rain ; Relative humidity ; Sea level ; Sea level pressure ; Storms ; Storms, hurricanes, tornadoes, thunderstorms ; Studies ; Uplift ; Velocity ; Vertical velocities ; Vorticity ; Warm air ; Weather ; Wind ; Wind fields ; Wind speed ; Wind velocity</subject><ispartof>Journal of climate, 2010-04, Vol.23 (7), p.1621-1635</ispartof><rights>2010 American Meteorological Society</rights><rights>2015 INIST-CNRS</rights><rights>Copyright American Meteorological Society Apr 1, 2010</rights><rights>Copyright American Meteorological Society 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-76facb60797941309b82e79e8ff7f932c209f11cadca559c340d444c6a79064e3</citedby><cites>FETCH-LOGICAL-c484t-76facb60797941309b82e79e8ff7f932c209f11cadca559c340d444c6a79064e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26189711$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26189711$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,3681,27924,27925,58017,58250</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22635393$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Catto, Jennifer L.</creatorcontrib><creatorcontrib>Shaffrey, Len C.</creatorcontrib><creatorcontrib>Hodges, Kevin I.</creatorcontrib><title>Can Climate Models Capture the Structure of Extratropical Cyclones?</title><title>Journal of climate</title><description>Composites of wind speeds, equivalent potential temperature, mean sea level pressure, vertical velocity, and relative humidity have been produced for the 100 most intense extratropical cyclones in the Northern Hemisphere winter for the 40-yr ECMWF Re-Analysis (ERA-40) and the high resolution global environment model (HiGEM). Features of conceptual models of cyclone structure—the warm conveyor belt, cold conveyor belt, and dry intrusion—have been identified in the composites from ERA-40 and compared to HiGEM. Such features can be identified in the composite fields despite the smoothing that occurs in the compositing process. The surface features and the three-dimensional structure of the cyclones in HiGEM compare very well with those from ERA-40. The warm conveyor belt is identified in the temperature and wind fields as a mass of warm air undergoing moist isentropic uplift and is very similar in ERA-40 and HiGEM. The rate of ascent is lower in HiGEM, associated with a shallower slope of the moist isentropes in the warm sector. There are also differences in the relative humidity fields in the warm conveyor belt. In ERA-40, the high values of relative humidity are strongly associated with the moist isentropic uplift, whereas in HiGEM these are not so strongly associated. The cold conveyor belt is identified as rearward flowing air that undercuts the warm conveyor belt and produces a low-level jet, and is very similar in HiGEM and ERA-40. The dry intrusion is identified in the 500-hPa vertical velocity and relative humidity. The structure of the dry intrusion compares well between HiGEM and ERA-40 but the descent is weaker in HiGEM because of weaker along-isentrope flow behind the composite cyclone. HiGEM’s ability to represent the key features of extratropical cyclone structure can give confidence in future predictions from this model.</description><subject>Air currents</subject><subject>Air temperature</subject><subject>Atmosphere</subject><subject>Belt conveyors</subject><subject>Case studies</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Climatology</subject><subject>Clouds</subject><subject>Cognitive models</subject><subject>Cold</subject><subject>Composite materials</subject><subject>Conveyor lines</subject><subject>Cyclone structure</subject><subject>Cyclones</subject><subject>Datasets</subject><subject>Earth, ocean, space</subject><subject>Environment models</subject><subject>Equivalent potential temperature</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Extratropical cyclones</subject><subject>Geophysics. Techniques, methods, instrumentation and models</subject><subject>Identification</subject><subject>Intrusion</subject><subject>Isentrope</subject><subject>Low-level jets</subject><subject>Marine</subject><subject>Mean sea level</subject><subject>Meteorology</subject><subject>Modelling</subject><subject>Northern Hemisphere</subject><subject>Potential temperature</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Relative humidity</subject><subject>Sea level</subject><subject>Sea level pressure</subject><subject>Storms</subject><subject>Storms, hurricanes, tornadoes, thunderstorms</subject><subject>Studies</subject><subject>Uplift</subject><subject>Velocity</subject><subject>Vertical velocities</subject><subject>Vorticity</subject><subject>Warm air</subject><subject>Weather</subject><subject>Wind</subject><subject>Wind fields</subject><subject>Wind speed</subject><subject>Wind velocity</subject><issn>0894-8755</issn><issn>1520-0442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kEtLAzEURoMoWB9bd8KgiKupN4_JYyUy-KTiQl0PaZrglOmkJhmw_97UioLg6nK55_u4HISOMIwxFtUFAVBz07WUYjnGW2iEKwIlMEa20QikYqUUVbWL9mKcA2DCAUaornVf1F270MkWj35mu1jUepmGYIv0ZovnFAbztXlXXH-koFPwy9borqhXpvO9jZcHaMfpLtrD77mPXm-uX-q7cvJ0e19fTUrDJEul4E6bKQehhGKYgppKYoWy0jnhFCWGgHIYGz0zuqqUoQxmjDHDtVDAmaX76HzTuwz-fbAxNYs2Gtt1urd-iI1gjCulBM_k6R9y7ofQ5-caIjGjPPeKTJ38S2WZomIgMzTeQCb4GIN1zTJkW2HVYGjW3pu194d6cr_23uAcOPtu1TFrckH3po0_KUI4raiimTvecPOYfPi9cyyVwJh-AsL9iZs</recordid><startdate>20100401</startdate><enddate>20100401</enddate><creator>Catto, Jennifer L.</creator><creator>Shaffrey, Len C.</creator><creator>Hodges, Kevin I.</creator><general>American Meteorological Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>7X2</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M0K</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>7TN</scope></search><sort><creationdate>20100401</creationdate><title>Can Climate Models Capture the Structure of Extratropical Cyclones?</title><author>Catto, Jennifer L. ; Shaffrey, Len C. ; Hodges, Kevin I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-76facb60797941309b82e79e8ff7f932c209f11cadca559c340d444c6a79064e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Air currents</topic><topic>Air temperature</topic><topic>Atmosphere</topic><topic>Belt conveyors</topic><topic>Case studies</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Climatology</topic><topic>Clouds</topic><topic>Cognitive models</topic><topic>Cold</topic><topic>Composite materials</topic><topic>Conveyor lines</topic><topic>Cyclone structure</topic><topic>Cyclones</topic><topic>Datasets</topic><topic>Earth, ocean, space</topic><topic>Environment models</topic><topic>Equivalent potential temperature</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Extratropical cyclones</topic><topic>Geophysics. Techniques, methods, instrumentation and models</topic><topic>Identification</topic><topic>Intrusion</topic><topic>Isentrope</topic><topic>Low-level jets</topic><topic>Marine</topic><topic>Mean sea level</topic><topic>Meteorology</topic><topic>Modelling</topic><topic>Northern Hemisphere</topic><topic>Potential temperature</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Relative humidity</topic><topic>Sea level</topic><topic>Sea level pressure</topic><topic>Storms</topic><topic>Storms, hurricanes, tornadoes, thunderstorms</topic><topic>Studies</topic><topic>Uplift</topic><topic>Velocity</topic><topic>Vertical velocities</topic><topic>Vorticity</topic><topic>Warm air</topic><topic>Weather</topic><topic>Wind</topic><topic>Wind fields</topic><topic>Wind speed</topic><topic>Wind velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Catto, Jennifer L.</creatorcontrib><creatorcontrib>Shaffrey, Len C.</creatorcontrib><creatorcontrib>Hodges, Kevin I.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Agricultural Science Database</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>Oceanic Abstracts</collection><jtitle>Journal of climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Catto, Jennifer L.</au><au>Shaffrey, Len C.</au><au>Hodges, Kevin I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Can Climate Models Capture the Structure of Extratropical Cyclones?</atitle><jtitle>Journal of climate</jtitle><date>2010-04-01</date><risdate>2010</risdate><volume>23</volume><issue>7</issue><spage>1621</spage><epage>1635</epage><pages>1621-1635</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>Composites of wind speeds, equivalent potential temperature, mean sea level pressure, vertical velocity, and relative humidity have been produced for the 100 most intense extratropical cyclones in the Northern Hemisphere winter for the 40-yr ECMWF Re-Analysis (ERA-40) and the high resolution global environment model (HiGEM). Features of conceptual models of cyclone structure—the warm conveyor belt, cold conveyor belt, and dry intrusion—have been identified in the composites from ERA-40 and compared to HiGEM. Such features can be identified in the composite fields despite the smoothing that occurs in the compositing process. The surface features and the three-dimensional structure of the cyclones in HiGEM compare very well with those from ERA-40. The warm conveyor belt is identified in the temperature and wind fields as a mass of warm air undergoing moist isentropic uplift and is very similar in ERA-40 and HiGEM. The rate of ascent is lower in HiGEM, associated with a shallower slope of the moist isentropes in the warm sector. There are also differences in the relative humidity fields in the warm conveyor belt. In ERA-40, the high values of relative humidity are strongly associated with the moist isentropic uplift, whereas in HiGEM these are not so strongly associated. The cold conveyor belt is identified as rearward flowing air that undercuts the warm conveyor belt and produces a low-level jet, and is very similar in HiGEM and ERA-40. The dry intrusion is identified in the 500-hPa vertical velocity and relative humidity. The structure of the dry intrusion compares well between HiGEM and ERA-40 but the descent is weaker in HiGEM because of weaker along-isentrope flow behind the composite cyclone. HiGEM’s ability to represent the key features of extratropical cyclone structure can give confidence in future predictions from this model.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/2009jcli3318.1</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Air currents Air temperature Atmosphere Belt conveyors Case studies Climate Climate change Climate models Climatology Clouds Cognitive models Cold Composite materials Conveyor lines Cyclone structure Cyclones Datasets Earth, ocean, space Environment models Equivalent potential temperature Exact sciences and technology External geophysics Extratropical cyclones Geophysics. Techniques, methods, instrumentation and models Identification Intrusion Isentrope Low-level jets Marine Mean sea level Meteorology Modelling Northern Hemisphere Potential temperature Precipitation Rain Relative humidity Sea level Sea level pressure Storms Storms, hurricanes, tornadoes, thunderstorms Studies Uplift Velocity Vertical velocities Vorticity Warm air Weather Wind Wind fields Wind speed Wind velocity |
title | Can Climate Models Capture the Structure of Extratropical Cyclones? |
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