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<br />The horizontal gradient, cross-isentropic winds
<br />and vertical isentropic gradient for each element
<br />are then entered into~n ~lgorithm which estimates
<br />the average vertical veloc1ty cross-isentropic
<br />~ponent. Figure 4 offers examples of the resur
<br />tant f1eld for two cases, Th$-Yertical velocities
<br />are then used as input to MESOCU which d' ses
<br />the resu 1ng a1 a e tential instabi 1
<br />The mo e re ates convective cloud
<br />.development.
<br />
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<br /> -- r--.. '-'
<br />. -1.5 .... ',2 ..... . .U.t "'U.J -25.' -Ll.1
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<br />Figure 4. Computed vertical velocities
<br />and grid element mid-point positions for 2 cases.
<br />
<br />4.
<br />
<br />NUMERICAL MODEL EXPERIMENT
<br />
<br />A relatively simple quasi-time depen-
<br />dent numerical model of cloud-environment inter-
<br />action ~SOC!n. developed by Krei tzberg and Perkey
<br />~is used in this study to diagnose convec-
<br />tive potential for cloud growth. The model simu-
<br />lates cloud growth by Lagrangian parcel dynamics
<br />using Stommel (1951) entrainment with the effects
<br />of water loading and cloud-environment mixing to
<br />damp thermal buoyancy, It includes the environ-
<br />mental controls of solar heating and surface eddy
<br />mixing in the planetary boundary layer~ and
<br />the effect of meso-synoptic scale lift1ng on
<br />convective thermodynamics. The model also simu-
<br />lates the local microphysical impact of precip-
<br />itation - evaporation in the dry sub-cloud layer
<br />which modifies the environment for further con-
<br />vection by COOling and mOistening the@L:' )
<br />
<br />A numerical experiment was performed
<br />using the MESOCU model to simulate effects of
<br />mesoscale lifting on the release of available
<br />potential instability. Lifting has an effect of
<br />destabilizing stable layers and advecting or carry-
<br />ing moisture upward. The numerical experiment sim-
<br />u~at:d the atmosE~er:'s,response to case~lwith no
<br />Ilftlng, 10 em s 11ftlng, and 20 cm s lifting
<br />using vertical profiles of lifting, Here the mag-
<br />nitude of lifting is the height (km) through which
<br />each parcel in the modeled atmosphere is lifte~
<br />during each hour simulated, so that a 10 em s-
<br />lifting rate would result in a maximum li~ of
<br />360 meters at the ~E!l_.9!....n.ond.iv,er.gence ~LND1J
<br />A level of nondivergence of 70 kPa was assumed for
<br />mesoscal~ triggering in contrast to the synoptic
<br />scale~of about 60 kPa. This assumption was
<br />based on mesoscale observations indicating more
<br />
<br />intense low-level forcing. The numerical exper-
<br />iment was performed on 3 rawinsonde observations
<br />taken dur ffig the summers of T977'ancl-T9~ --'
<br />~dland, Kansas. These raw1nsondes were ava11-
<br />able in real time in the Bureau of Reclamation's
<br />Environmental Data Network (Politte et al., 1977)
<br />to initialize the model. Summaries of 20 cloud
<br />var iables for each cloud and four pl:ofiles of
<br />total cloud-environment effects on temperature and
<br />moisture for each case were examined. This paper
<br />considers only four of the cloud val: iables from
<br />the model - cloud-top height, number of clouds
<br />supported, cloud base height and total cloud depth.
<br />Identical simulations for modified conditions,
<br />using the dynamic seeding hypothesis, were per-
<br />formed; however, these results are not addressed
<br />in the paper (see Matthews, 1977),
<br />
<br />The rawinsonde observations used to
<br />initialize the model simulations wel:e selected
<br />from three typical convective day. illh eitheL- (1)
<br />esosca e organlzed convection, which indicates
<br />'tl; existence of a mesoscale-tr1ggel:ing mechanism
<br />likely to result in lifting, or (2) isolated ~
<br />random convective clouds or clear skies. GOES-TAP
<br />(Corbell, 1976) satellite imagery was used to vis-
<br />ually classify each day on a 150 km grid (fig. 4).
<br />Then all model. results were verified according to
<br />observed cloud types and mesoscale triggering.
<br />
<br />One example of a mesoscale-triggered
<br />.case is presented to show important effects of
<br />lifting on the release of available potential in-
<br />stability and show how this isentropic analysis
<br />teChnique may be used with the model to quanti-
<br />tatively forecast thunderstorm development.
<br />
<br />5.
<br />
<br />RESULTS AND VERIFICATIrn~
<br />
<br />5.1
<br />
<br />General Summary
<br />
<br />Six cases were examined for this pre-
<br />liminary study. Three of the cases were used in
<br />I1ESOCU analysis. The days are summarized by
<br />exc:erpts from the operations log:
<br />
<br />May 24, 1977
<br />
<br />The intensive thunderstorm activity
<br />occurred after 1800 MDT (0000 GMT) l"h,m a cluster
<br />of cells developed in southeastern Colorado. The
<br />cells were moving toward the northe;~sl:. New cells
<br />were growing along the southeast qu,~dl.ant of the
<br />cluster and were developing on the ,,,indward side
<br />of the low-level (surface) flow.
<br />
<br />June 2, .1977
<br />
<br />Thunderstorm cells developed north-
<br />northeast of Limon, Colorado and moved eastward
<br />after 1500 MDT (2100 GMT). The cells gradually
<br />moved toward Goodland and were within 40 km by
<br />2000 MDT (0200 GMT). The cluster intensified at
<br />this time and continued to move slm}l? eastward
<br />throughout the nighttime hours.
<br />
<br />July 2, 1977 (f1ESOCU Stu,~ I
<br />
<br />Isolated small cumulus fo.:med 50 to
<br />100 km west of Goodland at approxim~t~ly 1500 MDT
<br />(2100 GMT). These cells did not grow substantially.
<br />Major activity to the southwest after 1800 i4DT
<br />
<br />L81
<br />
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