Cloud Vertical Distribution across Warm and Cold Fronts in CloudSat CALIPSO Data and a General Circulation Model
Cloud vertical distributions across extratropical warm and cold fronts are obtained using two consecutive winters of CloudSat–Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) observations and National Centers for Environmental Prediction reanalysis atmospheric state parame...
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description | Cloud vertical distributions across extratropical warm and cold fronts are obtained using two consecutive winters of CloudSat–Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) observations and National Centers for Environmental Prediction reanalysis atmospheric state parameters over the Northern and Southern Hemisphere oceans (30°–70°N/S) between November 2006 and September 2008. These distributions generally resemble those from the original model introduced by the Bergen School in the 1920s, with the following exceptions: 1) substantial low cloudiness, which is present behind and ahead of the warm and cold fronts; 2) ubiquitous high cloudiness, some of it very thin, throughout the warm-frontal region; and 3) upright convective cloudiness near and behind some warm fronts. One winter of GISS general circulation model simulations of Northern and Southern Hemisphere warm and cold fronts at 2° × 2.5° × 32 levels resolution gives similar cloud distributions but with much lower cloud fraction, a shallower depth of cloudiness, and a shorter extent of tilted warm-frontal cloud cover on the cold air side of the surface frontal position. A close examination of the relationship between the cloudiness and relative humidity fields indicates that water vapor is not lifted enough in modeled midlatitude cyclones and this is related to weak vertical velocities in the model. The model also produces too little cloudiness for a given value of vertical velocity or relative humidity. For global climate models run at scales coarser than tens of kilometers, the authors suggest that the current underestimate of modeled cloud cover in the storm track regions, and in particular the 50°–60°S band of the Southern Oceans, could be reduced with the implementation of a slantwise convection parameterization. |
doi_str_mv | 10.1175/2010jcli3282.1 |
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These distributions generally resemble those from the original model introduced by the Bergen School in the 1920s, with the following exceptions: 1) substantial low cloudiness, which is present behind and ahead of the warm and cold fronts; 2) ubiquitous high cloudiness, some of it very thin, throughout the warm-frontal region; and 3) upright convective cloudiness near and behind some warm fronts. One winter of GISS general circulation model simulations of Northern and Southern Hemisphere warm and cold fronts at 2° × 2.5° × 32 levels resolution gives similar cloud distributions but with much lower cloud fraction, a shallower depth of cloudiness, and a shorter extent of tilted warm-frontal cloud cover on the cold air side of the surface frontal position. A close examination of the relationship between the cloudiness and relative humidity fields indicates that water vapor is not lifted enough in modeled midlatitude cyclones and this is related to weak vertical velocities in the model. The model also produces too little cloudiness for a given value of vertical velocity or relative humidity. For global climate models run at scales coarser than tens of kilometers, the authors suggest that the current underestimate of modeled cloud cover in the storm track regions, and in particular the 50°–60°S band of the Southern Oceans, could be reduced with the implementation of a slantwise convection parameterization.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/2010jcli3282.1</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Climate models ; Cloud cover ; Clouds ; Cold ; Cyclones ; Data processing ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; General circulation models ; Global climate ; Lidar ; Meteorology ; Oceans ; Relative humidity ; Remote sensing ; Satellites ; Vertical distribution ; Water vapor</subject><ispartof>Journal of climate, 2010-06, Vol.23 (12), p.3397-3415</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright American Meteorological Society Jun 15, 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a425t-546f5f2c3be0f44dd4e6be067e79d4a3b54cbfd324447877c3ae779b9ac7c5173</citedby><cites>FETCH-LOGICAL-a425t-546f5f2c3be0f44dd4e6be067e79d4a3b54cbfd324447877c3ae779b9ac7c5173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,3668,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22997269$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>NAUD, Catherine M</creatorcontrib><creatorcontrib>DEL GENIO, Anthony D</creatorcontrib><creatorcontrib>BAUER, Mike</creatorcontrib><creatorcontrib>KOVARI, William</creatorcontrib><title>Cloud Vertical Distribution across Warm and Cold Fronts in CloudSat CALIPSO Data and a General Circulation Model</title><title>Journal of climate</title><description>Cloud vertical distributions across extratropical warm and cold fronts are obtained using two consecutive winters of CloudSat–Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) observations and National Centers for Environmental Prediction reanalysis atmospheric state parameters over the Northern and Southern Hemisphere oceans (30°–70°N/S) between November 2006 and September 2008. These distributions generally resemble those from the original model introduced by the Bergen School in the 1920s, with the following exceptions: 1) substantial low cloudiness, which is present behind and ahead of the warm and cold fronts; 2) ubiquitous high cloudiness, some of it very thin, throughout the warm-frontal region; and 3) upright convective cloudiness near and behind some warm fronts. One winter of GISS general circulation model simulations of Northern and Southern Hemisphere warm and cold fronts at 2° × 2.5° × 32 levels resolution gives similar cloud distributions but with much lower cloud fraction, a shallower depth of cloudiness, and a shorter extent of tilted warm-frontal cloud cover on the cold air side of the surface frontal position. A close examination of the relationship between the cloudiness and relative humidity fields indicates that water vapor is not lifted enough in modeled midlatitude cyclones and this is related to weak vertical velocities in the model. The model also produces too little cloudiness for a given value of vertical velocity or relative humidity. For global climate models run at scales coarser than tens of kilometers, the authors suggest that the current underestimate of modeled cloud cover in the storm track regions, and in particular the 50°–60°S band of the Southern Oceans, could be reduced with the implementation of a slantwise convection parameterization.</description><subject>Climate models</subject><subject>Cloud cover</subject><subject>Clouds</subject><subject>Cold</subject><subject>Cyclones</subject><subject>Data processing</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>General circulation models</subject><subject>Global climate</subject><subject>Lidar</subject><subject>Meteorology</subject><subject>Oceans</subject><subject>Relative humidity</subject><subject>Remote sensing</subject><subject>Satellites</subject><subject>Vertical distribution</subject><subject>Water 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Vertical Distribution across Warm and Cold Fronts in CloudSat CALIPSO Data and a General Circulation Model</title><author>NAUD, Catherine M ; DEL GENIO, Anthony D ; BAUER, Mike ; KOVARI, William</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a425t-546f5f2c3be0f44dd4e6be067e79d4a3b54cbfd324447877c3ae779b9ac7c5173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Climate models</topic><topic>Cloud cover</topic><topic>Clouds</topic><topic>Cold</topic><topic>Cyclones</topic><topic>Data processing</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>General circulation models</topic><topic>Global climate</topic><topic>Lidar</topic><topic>Meteorology</topic><topic>Oceans</topic><topic>Relative humidity</topic><topic>Remote sensing</topic><topic>Satellites</topic><topic>Vertical distribution</topic><topic>Water vapor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>NAUD, Catherine M</creatorcontrib><creatorcontrib>DEL GENIO, Anthony D</creatorcontrib><creatorcontrib>BAUER, Mike</creatorcontrib><creatorcontrib>KOVARI, William</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 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(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><jtitle>Journal of climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>NAUD, Catherine M</au><au>DEL GENIO, Anthony D</au><au>BAUER, Mike</au><au>KOVARI, William</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cloud Vertical Distribution across Warm and Cold Fronts in CloudSat CALIPSO Data and a General Circulation Model</atitle><jtitle>Journal of climate</jtitle><date>2010-06-15</date><risdate>2010</risdate><volume>23</volume><issue>12</issue><spage>3397</spage><epage>3415</epage><pages>3397-3415</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>Cloud vertical distributions across extratropical warm and cold fronts are obtained using two consecutive winters of CloudSat–Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) observations and National Centers for Environmental Prediction reanalysis atmospheric state parameters over the Northern and Southern Hemisphere oceans (30°–70°N/S) between November 2006 and September 2008. These distributions generally resemble those from the original model introduced by the Bergen School in the 1920s, with the following exceptions: 1) substantial low cloudiness, which is present behind and ahead of the warm and cold fronts; 2) ubiquitous high cloudiness, some of it very thin, throughout the warm-frontal region; and 3) upright convective cloudiness near and behind some warm fronts. One winter of GISS general circulation model simulations of Northern and Southern Hemisphere warm and cold fronts at 2° × 2.5° × 32 levels resolution gives similar cloud distributions but with much lower cloud fraction, a shallower depth of cloudiness, and a shorter extent of tilted warm-frontal cloud cover on the cold air side of the surface frontal position. A close examination of the relationship between the cloudiness and relative humidity fields indicates that water vapor is not lifted enough in modeled midlatitude cyclones and this is related to weak vertical velocities in the model. The model also produces too little cloudiness for a given value of vertical velocity or relative humidity. For global climate models run at scales coarser than tens of kilometers, the authors suggest that the current underestimate of modeled cloud cover in the storm track regions, and in particular the 50°–60°S band of the Southern Oceans, could be reduced with the implementation of a slantwise convection parameterization.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/2010jcli3282.1</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Climate models Cloud cover Clouds Cold Cyclones Data processing Earth, ocean, space Exact sciences and technology External geophysics General circulation models Global climate Lidar Meteorology Oceans Relative humidity Remote sensing Satellites Vertical distribution Water vapor |
title | Cloud Vertical Distribution across Warm and Cold Fronts in CloudSat CALIPSO Data and a General Circulation Model |
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