A Revised Prognostic Cloud Fraction Scheme in a Global Forecasting System
In this study, a revised prognostic cloud fraction scheme for atmospheric models is proposed and its performance is evaluated with a diagnostic cloud fraction scheme. A revision is proposed through a direct linkage between hydrometeors in the cumulus parameterization scheme and the amount of predict...
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Veröffentlicht in: | Monthly weather review 2016-03, Vol.144 (3), p.1219-1229 |
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description | In this study, a revised prognostic cloud fraction scheme for atmospheric models is proposed and its performance is evaluated with a diagnostic cloud fraction scheme. A revision is proposed through a direct linkage between hydrometeors in the cumulus parameterization scheme and the amount of predicted cloud fractions. Cloud fractions that are determined via the prognostic cloud fraction scheme appear to be more realistic than those determined via a diagnostic cloud fraction scheme when both are compared with satellite data. In a medium-range forecast test bed, the biases of large-scale features such as temperature, geopotential height, and mean sea level pressure are moderately reduced when the prognostic cloud fraction scheme is used. |
doi_str_mv | 10.1175/MWR-D-15-0273.1 |
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A revision is proposed through a direct linkage between hydrometeors in the cumulus parameterization scheme and the amount of predicted cloud fractions. Cloud fractions that are determined via the prognostic cloud fraction scheme appear to be more realistic than those determined via a diagnostic cloud fraction scheme when both are compared with satellite data. In a medium-range forecast test bed, the biases of large-scale features such as temperature, geopotential height, and mean sea level pressure are moderately reduced when the prognostic cloud fraction scheme is used.</description><identifier>ISSN: 0027-0644</identifier><identifier>EISSN: 1520-0493</identifier><identifier>DOI: 10.1175/MWR-D-15-0273.1</identifier><identifier>CODEN: MWREAB</identifier><language>eng</language><publisher>Washington: American Meteorological Society</publisher><subject>Atmospheric models ; Brackish ; Climate change ; Climatology ; Cloud parameterization ; Clouds ; Diagnostic systems ; Dynamic height ; Fractions ; Geopotential ; Geopotential height ; Humidity ; Hydrometeors ; Marine ; Mathematical models ; Mean sea level ; Meteorology ; Parameterization ; Parametrization ; Precipitation ; Radiation ; Satellite data ; Satellites ; Sea level ; Sea level pressure ; Simulation ; Studies ; Weather ; Weather forecasting</subject><ispartof>Monthly weather review, 2016-03, Vol.144 (3), p.1219-1229</ispartof><rights>Copyright American Meteorological Society Mar 2016</rights><rights>Copyright American Meteorological Society 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-ecb0fb8442b9b186cb6c7b0d833b2fd2e4509e1ac4895ec1a750044e109970dc3</citedby><cites>FETCH-LOGICAL-c404t-ecb0fb8442b9b186cb6c7b0d833b2fd2e4509e1ac4895ec1a750044e109970dc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3681,27924,27925</link.rule.ids></links><search><creatorcontrib>Park, Rae-Seol</creatorcontrib><creatorcontrib>Chae, Jung-Hyo</creatorcontrib><creatorcontrib>Hong, Song-You</creatorcontrib><title>A Revised Prognostic Cloud Fraction Scheme in a Global Forecasting System</title><title>Monthly weather review</title><description>In this study, a revised prognostic cloud fraction scheme for atmospheric models is proposed and its performance is evaluated with a diagnostic cloud fraction scheme. 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level</subject><subject>Sea level pressure</subject><subject>Simulation</subject><subject>Studies</subject><subject>Weather</subject><subject>Weather 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Revised Prognostic Cloud Fraction Scheme in a Global Forecasting System</title><author>Park, Rae-Seol ; Chae, Jung-Hyo ; Hong, Song-You</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-ecb0fb8442b9b186cb6c7b0d833b2fd2e4509e1ac4895ec1a750044e109970dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Atmospheric models</topic><topic>Brackish</topic><topic>Climate change</topic><topic>Climatology</topic><topic>Cloud parameterization</topic><topic>Clouds</topic><topic>Diagnostic systems</topic><topic>Dynamic height</topic><topic>Fractions</topic><topic>Geopotential</topic><topic>Geopotential height</topic><topic>Humidity</topic><topic>Hydrometeors</topic><topic>Marine</topic><topic>Mathematical models</topic><topic>Mean sea 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Fraction Scheme in a Global Forecasting System</atitle><jtitle>Monthly weather review</jtitle><date>2016-03-01</date><risdate>2016</risdate><volume>144</volume><issue>3</issue><spage>1219</spage><epage>1229</epage><pages>1219-1229</pages><issn>0027-0644</issn><eissn>1520-0493</eissn><coden>MWREAB</coden><abstract>In this study, a revised prognostic cloud fraction scheme for atmospheric models is proposed and its performance is evaluated with a diagnostic cloud fraction scheme. A revision is proposed through a direct linkage between hydrometeors in the cumulus parameterization scheme and the amount of predicted cloud fractions. Cloud fractions that are determined via the prognostic cloud fraction scheme appear to be more realistic than those determined via a diagnostic cloud fraction scheme when both are compared with satellite data. In a medium-range forecast test bed, the biases of large-scale features such as temperature, geopotential height, and mean sea level pressure are moderately reduced when the prognostic cloud fraction scheme is used.</abstract><cop>Washington</cop><pub>American Meteorological Society</pub><doi>10.1175/MWR-D-15-0273.1</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Atmospheric models Brackish Climate change Climatology Cloud parameterization Clouds Diagnostic systems Dynamic height Fractions Geopotential Geopotential height Humidity Hydrometeors Marine Mathematical models Mean sea level Meteorology Parameterization Parametrization Precipitation Radiation Satellite data Satellites Sea level Sea level pressure Simulation Studies Weather Weather forecasting |
title | A Revised Prognostic Cloud Fraction Scheme in a Global Forecasting System |
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