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The sensitivity of convective initiation to the lapse rate of the active cloud-bearing layer
Numerical experiments are conducted using an idealized cloud-resolving model to explore the sensitivity of deep convective initiation (DCI) to the lapse rate of the active cloud-bearing layer [ACBL; the atmospheric layer above the level of free convection (LFC)]. Clouds are initiated using a new tec...
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Published in: | Monthly weather review 2007-09, Vol.135 (9), p.3013-3032 |
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description | Numerical experiments are conducted using an idealized cloud-resolving model to explore the sensitivity of deep convective initiation (DCI) to the lapse rate of the active cloud-bearing layer [ACBL; the atmospheric layer above the level of free convection (LFC)]. Clouds are initiated using a new technique that involves a preexisting airmass boundary initialized such that the (unrealistic) adjustment of the model state variables to the imposed boundary is disassociated from the simulation of convection. Reference state environments used in the experiment suite have identical mixed layer values of convective inhibition, CAPE, and LFC as well as identical profiles of relative humidity and wind. Of the six simulations conducted for the experiment set, only the three environments with the largest ACBL lapse rates support DCI. The simulated deep convection is initiated from elevated sources (parcels in the convective clouds originate near 1300 m) despite the presence of a surface-based boundary. Thermal instability release is found to be more likely in the experiments with larger ACBL lapse rates because the forced ascent at the preexisting boundary is stronger (despite nearly identical boundary depths) and because the parcels’ LFCs are lower, irrespective of parcel dilution. In one experiment without deep convection, DCI failure occurs even though thermal instability is released. Results from this experiment along with the results from a heuristic Lagrangian model reveal the existence of two convective regimes dependent on the environmental lapse rate: a supercritical state capable of supporting DCI and a subcritical state that is unlikely to support DCI. Under supercritical conditions the rate of increase in buoyancy due to parcel ascent exceeds the reduction in buoyancy due to dilution. Under subcritical conditions, the rate of increase in buoyancy due to parcel ascent is outpaced by the rate of reduction in buoyancy from dilution. Overall, results demonstrate that the lapse rate of the ACBL is useful in diagnosing and/or predicting DCI. |
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Clouds are initiated using a new technique that involves a preexisting airmass boundary initialized such that the (unrealistic) adjustment of the model state variables to the imposed boundary is disassociated from the simulation of convection. Reference state environments used in the experiment suite have identical mixed layer values of convective inhibition, CAPE, and LFC as well as identical profiles of relative humidity and wind. Of the six simulations conducted for the experiment set, only the three environments with the largest ACBL lapse rates support DCI. The simulated deep convection is initiated from elevated sources (parcels in the convective clouds originate near 1300 m) despite the presence of a surface-based boundary. Thermal instability release is found to be more likely in the experiments with larger ACBL lapse rates because the forced ascent at the preexisting boundary is stronger (despite nearly identical boundary depths) and because the parcels’ LFCs are lower, irrespective of parcel dilution. In one experiment without deep convection, DCI failure occurs even though thermal instability is released. Results from this experiment along with the results from a heuristic Lagrangian model reveal the existence of two convective regimes dependent on the environmental lapse rate: a supercritical state capable of supporting DCI and a subcritical state that is unlikely to support DCI. Under supercritical conditions the rate of increase in buoyancy due to parcel ascent exceeds the reduction in buoyancy due to dilution. Under subcritical conditions, the rate of increase in buoyancy due to parcel ascent is outpaced by the rate of reduction in buoyancy from dilution. Overall, results demonstrate that the lapse rate of the ACBL is useful in diagnosing and/or predicting DCI.</description><identifier>ISSN: 0027-0644</identifier><identifier>EISSN: 1520-0493</identifier><identifier>DOI: 10.1175/mwr3449.1</identifier><identifier>CODEN: MWREAB</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Buoyancy ; Clouds ; Convection ; Convective clouds ; Design ; Dilution ; Earth, ocean, space ; Energy dissipation ; Exact sciences and technology ; Experiments ; External geophysics ; Free convection ; Insurance premiums ; Lapse rate ; Meteorology ; Mixed layer ; Numerical experiments ; Planetary boundary layer ; Reduction ; Relative humidity ; Sensitivity ; Simulation ; Surface stability ; Thermal instability</subject><ispartof>Monthly weather review, 2007-09, Vol.135 (9), p.3013-3032</ispartof><rights>2007 INIST-CNRS</rights><rights>Copyright American Meteorological Society Sep 2007</rights><rights>Copyright American Meteorological Society 2007</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c446t-62c0f1a4155f1e162cbf696dc198fab62d6f7162a4c7694cc487ad65c667eaf43</citedby><cites>FETCH-LOGICAL-c446t-62c0f1a4155f1e162cbf696dc198fab62d6f7162a4c7694cc487ad65c667eaf43</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=19081899$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>HOUSTON, Adam L</creatorcontrib><creatorcontrib>NIYOGI, Dev</creatorcontrib><title>The sensitivity of convective initiation to the lapse rate of the active cloud-bearing layer</title><title>Monthly weather review</title><description>Numerical experiments are conducted using an idealized cloud-resolving model to explore the sensitivity of deep convective initiation (DCI) to the lapse rate of the active cloud-bearing layer [ACBL; the atmospheric layer above the level of free convection (LFC)]. Clouds are initiated using a new technique that involves a preexisting airmass boundary initialized such that the (unrealistic) adjustment of the model state variables to the imposed boundary is disassociated from the simulation of convection. Reference state environments used in the experiment suite have identical mixed layer values of convective inhibition, CAPE, and LFC as well as identical profiles of relative humidity and wind. Of the six simulations conducted for the experiment set, only the three environments with the largest ACBL lapse rates support DCI. The simulated deep convection is initiated from elevated sources (parcels in the convective clouds originate near 1300 m) despite the presence of a surface-based boundary. Thermal instability release is found to be more likely in the experiments with larger ACBL lapse rates because the forced ascent at the preexisting boundary is stronger (despite nearly identical boundary depths) and because the parcels’ LFCs are lower, irrespective of parcel dilution. In one experiment without deep convection, DCI failure occurs even though thermal instability is released. Results from this experiment along with the results from a heuristic Lagrangian model reveal the existence of two convective regimes dependent on the environmental lapse rate: a supercritical state capable of supporting DCI and a subcritical state that is unlikely to support DCI. Under supercritical conditions the rate of increase in buoyancy due to parcel ascent exceeds the reduction in buoyancy due to dilution. Under subcritical conditions, the rate of increase in buoyancy due to parcel ascent is outpaced by the rate of reduction in buoyancy from dilution. Overall, results demonstrate that the lapse rate of the ACBL is useful in diagnosing and/or predicting DCI.</description><subject>Buoyancy</subject><subject>Clouds</subject><subject>Convection</subject><subject>Convective clouds</subject><subject>Design</subject><subject>Dilution</subject><subject>Earth, ocean, space</subject><subject>Energy dissipation</subject><subject>Exact sciences and technology</subject><subject>Experiments</subject><subject>External geophysics</subject><subject>Free convection</subject><subject>Insurance premiums</subject><subject>Lapse rate</subject><subject>Meteorology</subject><subject>Mixed layer</subject><subject>Numerical experiments</subject><subject>Planetary boundary layer</subject><subject>Reduction</subject><subject>Relative humidity</subject><subject>Sensitivity</subject><subject>Simulation</subject><subject>Surface stability</subject><subject>Thermal instability</subject><issn>0027-0644</issn><issn>1520-0493</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNp10U1LAzEQBuAgCtbqwX-wKAoetuZrZzdHKX5BRZCKF2FJ00RTtklNdiv992ZpQRA8DfPyzDAwCJ0SPCKkLK6X34FxLkZkDw1IQXGOuWD7aIAxLXMMnB-ioxgXGGMATgfoffqps6hdtK1d23aTeZMp79ZapV5n1qVctta7rPVZm2wjV1FnQba6p30it1Q1vpvnMy2DdR-JbXQ4RgdGNlGf7OoQvd7dTscP-eT5_nF8M8kV59DmQBU2RHJSFIZoktqZAQFzRURl5AzoHEyZYslVCYIrxatSzqFQAKWWhrMhutzuXQX_1enY1ksblW4a6bTvYk0xK0kFIsHzP3Dhu-DSbTWtKDCoALOkzv5T6SLGCl7ShK62SAUfY9CmXgW7lGFTE1z3r6if3l76V9Qk2YvdQhmVbEyQTtn4OyBwRSoh2A-jYYgX</recordid><startdate>20070901</startdate><enddate>20070901</enddate><creator>HOUSTON, Adam L</creator><creator>NIYOGI, Dev</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>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>S0X</scope></search><sort><creationdate>20070901</creationdate><title>The sensitivity of convective initiation to the lapse rate of the active cloud-bearing layer</title><author>HOUSTON, Adam L ; NIYOGI, Dev</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c446t-62c0f1a4155f1e162cbf696dc198fab62d6f7162a4c7694cc487ad65c667eaf43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Buoyancy</topic><topic>Clouds</topic><topic>Convection</topic><topic>Convective clouds</topic><topic>Design</topic><topic>Dilution</topic><topic>Earth, ocean, space</topic><topic>Energy dissipation</topic><topic>Exact sciences and technology</topic><topic>Experiments</topic><topic>External geophysics</topic><topic>Free convection</topic><topic>Insurance premiums</topic><topic>Lapse rate</topic><topic>Meteorology</topic><topic>Mixed layer</topic><topic>Numerical experiments</topic><topic>Planetary boundary layer</topic><topic>Reduction</topic><topic>Relative humidity</topic><topic>Sensitivity</topic><topic>Simulation</topic><topic>Surface stability</topic><topic>Thermal instability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>HOUSTON, Adam L</creatorcontrib><creatorcontrib>NIYOGI, Dev</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</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>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</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>Aerospace Database</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>Advanced Technologies Database with Aerospace</collection><collection>Military Database</collection><collection>ProQuest research library</collection><collection>ProQuest Science Journals</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><jtitle>Monthly weather review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>HOUSTON, Adam L</au><au>NIYOGI, Dev</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The sensitivity of convective initiation to the lapse rate of the active cloud-bearing layer</atitle><jtitle>Monthly weather review</jtitle><date>2007-09-01</date><risdate>2007</risdate><volume>135</volume><issue>9</issue><spage>3013</spage><epage>3032</epage><pages>3013-3032</pages><issn>0027-0644</issn><eissn>1520-0493</eissn><coden>MWREAB</coden><abstract>Numerical experiments are conducted using an idealized cloud-resolving model to explore the sensitivity of deep convective initiation (DCI) to the lapse rate of the active cloud-bearing layer [ACBL; the atmospheric layer above the level of free convection (LFC)]. Clouds are initiated using a new technique that involves a preexisting airmass boundary initialized such that the (unrealistic) adjustment of the model state variables to the imposed boundary is disassociated from the simulation of convection. Reference state environments used in the experiment suite have identical mixed layer values of convective inhibition, CAPE, and LFC as well as identical profiles of relative humidity and wind. Of the six simulations conducted for the experiment set, only the three environments with the largest ACBL lapse rates support DCI. The simulated deep convection is initiated from elevated sources (parcels in the convective clouds originate near 1300 m) despite the presence of a surface-based boundary. Thermal instability release is found to be more likely in the experiments with larger ACBL lapse rates because the forced ascent at the preexisting boundary is stronger (despite nearly identical boundary depths) and because the parcels’ LFCs are lower, irrespective of parcel dilution. In one experiment without deep convection, DCI failure occurs even though thermal instability is released. Results from this experiment along with the results from a heuristic Lagrangian model reveal the existence of two convective regimes dependent on the environmental lapse rate: a supercritical state capable of supporting DCI and a subcritical state that is unlikely to support DCI. Under supercritical conditions the rate of increase in buoyancy due to parcel ascent exceeds the reduction in buoyancy due to dilution. Under subcritical conditions, the rate of increase in buoyancy due to parcel ascent is outpaced by the rate of reduction in buoyancy from dilution. Overall, results demonstrate that the lapse rate of the ACBL is useful in diagnosing and/or predicting DCI.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/mwr3449.1</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Buoyancy Clouds Convection Convective clouds Design Dilution Earth, ocean, space Energy dissipation Exact sciences and technology Experiments External geophysics Free convection Insurance premiums Lapse rate Meteorology Mixed layer Numerical experiments Planetary boundary layer Reduction Relative humidity Sensitivity Simulation Surface stability Thermal instability |
title | The sensitivity of convective initiation to the lapse rate of the active cloud-bearing layer |
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