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Investigation of Droplet Size Distributions and Drizzle Formation Using a New Trajectory Ensemble Model. Part I Model Description and First Results in a Nonmixing Limit
A novel trajectory ensemble model of a stratocumulus cloud is described. In this model, the boundary layer (BL) is fully covered by a great number of Lagrangian air parcels that during their motion can contain either wet aerosols or aerosols and droplets. The diffusion growth of aerosols and droplet...
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Published in: | Journal of the atmospheric sciences 2008-07, Vol.65 (7), p.2064-2086 |
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creator | PINSKY, M MAGARITZ, L KHAIN, A KRASNOV, O STERKIN, A |
description | A novel trajectory ensemble model of a stratocumulus cloud is described. In this model, the boundary layer (BL) is fully covered by a great number of Lagrangian air parcels that during their motion can contain either wet aerosols or aerosols and droplets. The diffusion growth of aerosols and droplets, as well as drop collisions, is accurately described in each parcel. Droplet sedimentation is taken into account, which allows simulation of precipitation formation. The Lagrangian parcels are advected by the velocity field generated by the turbulent-like flow model obeying turbulent correlation laws. The output of the numerical model includes droplet and aerosol size distributions and their moments, such as droplet concentration, droplet spectrum width, cloud water content, drizzle content, radar reflectivity, etc., calculated in each parcel. Horizontally averaged values are calculated as well.
Stratocumulus clouds observed during two research flights (RF01 and RF07) in the Second Dynamics and Chemistry of Marine Stratocumulus (DYCOMS II) field campaign are simulated. A good agreement between the dynamical and microphysical structures simulated by the model with observations is obtained even in the nonmixing limit. A crucial role of sedimentation for the creation of a realistic cloud microphysical structure is demonstrated. In sensitivity studies, the statistical stability of the model is analyzed.
Applications of the model for the investigation of droplet size distribution and drizzle formation are discussed, as is the possible utilization of the model for remote sensing applications. |
doi_str_mv | 10.1175/2007JAS2486.1 |
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Stratocumulus clouds observed during two research flights (RF01 and RF07) in the Second Dynamics and Chemistry of Marine Stratocumulus (DYCOMS II) field campaign are simulated. A good agreement between the dynamical and microphysical structures simulated by the model with observations is obtained even in the nonmixing limit. A crucial role of sedimentation for the creation of a realistic cloud microphysical structure is demonstrated. In sensitivity studies, the statistical stability of the model is analyzed.
Applications of the model for the investigation of droplet size distribution and drizzle formation are discussed, as is the possible utilization of the model for remote sensing applications.</description><identifier>ISSN: 0022-4928</identifier><identifier>EISSN: 1520-0469</identifier><identifier>DOI: 10.1175/2007JAS2486.1</identifier><identifier>CODEN: JAHSAK</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Aerosols ; Air parcels ; Aircraft ; Atmospheric boundary layer ; Boundary layers ; Cloud microphysics ; Cloud water ; Clouds ; Drizzle ; Droplets ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Field study ; General circulation models ; Investigations ; Marine chemistry ; Mathematical models ; Meteorology ; Modelling ; Moisture content ; Numerical models ; Physics of the high neutral atmosphere ; Precipitation formation ; Radar ; Radar reflectivity ; Reflectance ; Remote sensing ; Sedimentation ; Sedimentation & deposition ; Simulation ; Size distribution ; Stability analysis ; Stratocumulus clouds ; Turbulent flow ; Velocity ; Velocity distribution ; Water content</subject><ispartof>Journal of the atmospheric sciences, 2008-07, Vol.65 (7), p.2064-2086</ispartof><rights>2008 INIST-CNRS</rights><rights>Copyright American Meteorological Society Jul 2008</rights><rights>Copyright American Meteorological Society 2008</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-7dadf7bffb23571976767fb9932df7998091b2c62916c3943ca236113342d1823</citedby><cites>FETCH-LOGICAL-c392t-7dadf7bffb23571976767fb9932df7998091b2c62916c3943ca236113342d1823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20531387$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>PINSKY, M</creatorcontrib><creatorcontrib>MAGARITZ, L</creatorcontrib><creatorcontrib>KHAIN, A</creatorcontrib><creatorcontrib>KRASNOV, O</creatorcontrib><creatorcontrib>STERKIN, A</creatorcontrib><title>Investigation of Droplet Size Distributions and Drizzle Formation Using a New Trajectory Ensemble Model. Part I Model Description and First Results in a Nonmixing Limit</title><title>Journal of the atmospheric sciences</title><description>A novel trajectory ensemble model of a stratocumulus cloud is described. In this model, the boundary layer (BL) is fully covered by a great number of Lagrangian air parcels that during their motion can contain either wet aerosols or aerosols and droplets. The diffusion growth of aerosols and droplets, as well as drop collisions, is accurately described in each parcel. Droplet sedimentation is taken into account, which allows simulation of precipitation formation. The Lagrangian parcels are advected by the velocity field generated by the turbulent-like flow model obeying turbulent correlation laws. The output of the numerical model includes droplet and aerosol size distributions and their moments, such as droplet concentration, droplet spectrum width, cloud water content, drizzle content, radar reflectivity, etc., calculated in each parcel. Horizontally averaged values are calculated as well.
Stratocumulus clouds observed during two research flights (RF01 and RF07) in the Second Dynamics and Chemistry of Marine Stratocumulus (DYCOMS II) field campaign are simulated. A good agreement between the dynamical and microphysical structures simulated by the model with observations is obtained even in the nonmixing limit. A crucial role of sedimentation for the creation of a realistic cloud microphysical structure is demonstrated. In sensitivity studies, the statistical stability of the model is analyzed.
Applications of the model for the investigation of droplet size distribution and drizzle formation are discussed, as is the possible utilization of the model for remote sensing applications.</description><subject>Aerosols</subject><subject>Air parcels</subject><subject>Aircraft</subject><subject>Atmospheric boundary layer</subject><subject>Boundary layers</subject><subject>Cloud microphysics</subject><subject>Cloud water</subject><subject>Clouds</subject><subject>Drizzle</subject><subject>Droplets</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Field study</subject><subject>General circulation models</subject><subject>Investigations</subject><subject>Marine chemistry</subject><subject>Mathematical models</subject><subject>Meteorology</subject><subject>Modelling</subject><subject>Moisture content</subject><subject>Numerical models</subject><subject>Physics of the high neutral atmosphere</subject><subject>Precipitation formation</subject><subject>Radar</subject><subject>Radar reflectivity</subject><subject>Reflectance</subject><subject>Remote sensing</subject><subject>Sedimentation</subject><subject>Sedimentation & deposition</subject><subject>Simulation</subject><subject>Size distribution</subject><subject>Stability analysis</subject><subject>Stratocumulus clouds</subject><subject>Turbulent flow</subject><subject>Velocity</subject><subject>Velocity distribution</subject><subject>Water content</subject><issn>0022-4928</issn><issn>1520-0469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNp1kU9vFCEYh4nRxLX16J1o9DZbXpiB4dh0u7pm_RPbnicMwzRsZmAFxrb7ifyYMm5jjIlwIPA-vwfCi9ArIEsAUZ1RQsTH8yta1nwJT9ACKkoKUnL5FC0IobQoJa2foxcx7kgeVMAC_dy4HyYme6uS9Q77Hq-C3w8m4St7MHhlYwq2neZixMp1uWwPh8HgtQ_jMXMTrbvFCn82d_g6qJ3RyYcHfOmiGdtMfvKdGZb4qwoJb447vDJRB7v_nZ-taxtiwt9MnIYUsXWzzrvR3s_qrR1tOkXPejVE8_JxPUE368vriw_F9sv7zcX5ttBM0lSITnW9aPu-pawSIAXPs2-lZDSfS1kTCS3VnErgOVEyrSjjAIyVtIOashP07ujdB_99yl_TjDZqMwzKGT_FhhJJAIBn8M0_4M5PweW3NbSmpCo5E1WmXv-XYrwiAjjJUHGEdPAxBtM3-2BHFR4aIM3c2uav1jaQ-bePUhW1GvqgnLbxTyhfzoDVgv0Cknii1A</recordid><startdate>20080701</startdate><enddate>20080701</enddate><creator>PINSKY, M</creator><creator>MAGARITZ, L</creator><creator>KHAIN, A</creator><creator>KRASNOV, O</creator><creator>STERKIN, A</creator><general>American Meteorological Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</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>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</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>R05</scope><scope>S0X</scope></search><sort><creationdate>20080701</creationdate><title>Investigation of Droplet Size Distributions and Drizzle Formation Using a New Trajectory Ensemble Model. 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Part I Model Description and First Results in a Nonmixing Limit</atitle><jtitle>Journal of the atmospheric sciences</jtitle><date>2008-07-01</date><risdate>2008</risdate><volume>65</volume><issue>7</issue><spage>2064</spage><epage>2086</epage><pages>2064-2086</pages><issn>0022-4928</issn><eissn>1520-0469</eissn><coden>JAHSAK</coden><abstract>A novel trajectory ensemble model of a stratocumulus cloud is described. In this model, the boundary layer (BL) is fully covered by a great number of Lagrangian air parcels that during their motion can contain either wet aerosols or aerosols and droplets. The diffusion growth of aerosols and droplets, as well as drop collisions, is accurately described in each parcel. Droplet sedimentation is taken into account, which allows simulation of precipitation formation. The Lagrangian parcels are advected by the velocity field generated by the turbulent-like flow model obeying turbulent correlation laws. The output of the numerical model includes droplet and aerosol size distributions and their moments, such as droplet concentration, droplet spectrum width, cloud water content, drizzle content, radar reflectivity, etc., calculated in each parcel. Horizontally averaged values are calculated as well.
Stratocumulus clouds observed during two research flights (RF01 and RF07) in the Second Dynamics and Chemistry of Marine Stratocumulus (DYCOMS II) field campaign are simulated. A good agreement between the dynamical and microphysical structures simulated by the model with observations is obtained even in the nonmixing limit. A crucial role of sedimentation for the creation of a realistic cloud microphysical structure is demonstrated. In sensitivity studies, the statistical stability of the model is analyzed.
Applications of the model for the investigation of droplet size distribution and drizzle formation are discussed, as is the possible utilization of the model for remote sensing applications.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/2007JAS2486.1</doi><tpages>23</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aerosols Air parcels Aircraft Atmospheric boundary layer Boundary layers Cloud microphysics Cloud water Clouds Drizzle Droplets Earth, ocean, space Exact sciences and technology External geophysics Field study General circulation models Investigations Marine chemistry Mathematical models Meteorology Modelling Moisture content Numerical models Physics of the high neutral atmosphere Precipitation formation Radar Radar reflectivity Reflectance Remote sensing Sedimentation Sedimentation & deposition Simulation Size distribution Stability analysis Stratocumulus clouds Turbulent flow Velocity Velocity distribution Water content |
title | Investigation of Droplet Size Distributions and Drizzle Formation Using a New Trajectory Ensemble Model. Part I Model Description and First Results in a Nonmixing Limit |
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