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Last modified
7/28/2009 2:33:55 PM
Creation date
4/11/2008 3:44:13 PM
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Weather Modification
Title
Bulk Parameterization of the Snow Field in a Cloud Model
Date
6/6/1983
Weather Modification - Doc Type
Report
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<br />1084 <br /> <br />JOU R N A L OF CLI MATE AND APPLI ED METEOROLOGY <br /> <br />VOLUME 22 <br /> <br />3.0 <br />E <br />u <br />~2.5 <br />a:: <br />w <br />f- <br />3!2.0 <br />~ <br /><[ <br />a:: 1.5 <br />Cl <br />w <br />t:W <br />.J <br />=> <br />::!: <br />30.5 <br />u <br /><[ <br /> <br /> <br /> <br />FIG. 9. The horizontal distribution of accumulated rainfall at <br />the surface at 48 min of simulated time for the three cases. <br /> <br />at 29 min and 44 min in Fig. 7b and 30 min (3 km <br />height) and 42 min (9.2 km height) in Fig. 6. The <br />decrease in net hail production around 33 to 36 min <br />for Cases I and 2 is caused by the melt of hail as it <br />falls below the OOC level. The fallout of precipitation <br />at this time leads to a stimulation of the lower right <br />portion of the cloud in Cases 1 and 2, which is re- <br />sponsible for the second surge in hail growth indicated <br />in Figs. 7b and 8. <br />A single hail growth peak shows up in Case 3 at <br />about 40 min (9.2 km height). Examination of Figs. <br />7 and 8 indicates Case 3 has rain forming nearly 12 <br />min later than in Cases I and 2. However, hail for- <br />mation is delayed only about 6 min. Melting of hail <br />is the primary source of rain in all three cases, and <br />for Case 3 it is also the initiating mechanism for rain. <br />Rain in Cases I and 2 is initially produced by au- <br />!oconversion. It is the freezing of this earlier rain <br />which initiates the hail field in Cases I and 2 (slightly <br />earlier in Case I because of rain-snow interactions). <br />Hail in Case 3 is initiated by the aggregation of snow <br />which occurs 6 min later than the freezing of rain in <br />Cases 1 and 2. <br />The time period from 18 to 24 min in Cases I and <br />2 (Fig. 7a) indicates that the initial production of rain <br />is followed by a temporary loss before the major rain <br />production stage is reached. This behavior is due to <br />the initial formation of rain in the lower level of the <br />clouds, while the advection of rain to higher, colder <br />levels where accretion by hail (in Case 2) or by hail <br />and snow (in Case 1) depletes the rain. The decrease <br />in rain ceases when hail begins to melt and becomes <br />a dominant source of rain after 25 min. <br />Examination of Figs. 7 and 8 reveals that the pres- <br />ence of snow serves to deplete the rain field and to <br />keep its formation rate slower in Case I than in Case <br />2 (no snow case). The snow initiates the hail field <br />about 1 min sooner in Case 1, which results in earlier <br />depletion of the rain in Case I and a reduction in the <br />total amount of rain produced in the first surge.com- <br /> <br />pared to Case 2. The snow accelerates the formation <br />of hail in Case 1, which accounts for the slightly ear- <br />lier fallout of hail and associated melting to form <br />appreciable amounts of rain. Consequently, hail is a <br />sink for rain at first (as is snow), but a source later <br />as it melts below the OOC level. <br />Case 3 is much more inefficient in the production <br />of precipitation in the early stages (18-30 min) as is <br />clearly shown by the much larger amounts of cloud <br />water (Fig. 8). Although hail production is consid- <br />erably delayed in this case, the hail, once formed, is <br />produced in much larger quantities, being present in <br />abundant amounts throughout a greater portion of <br />the cloud. Rain production is delayed even more, but <br />follows the same trend as the hail in this case. <br />Fig. 9 shows the accumulated rain at the surface <br />at 48 min from all three cases. Table 2 provides ad- <br />ditional information on the results of the cases at 48 <br />min. Some precipitation still remains to accumulate <br />from the main cells, but these results indicate the <br />trend of the differences. Returning to Fig. 8, we note <br />that Cases 2 and 3 have more rain and hail (efficient <br />precipitating forms) suspended aloft at 48 min than <br />does Case 1. If the simulations had been continued <br />beyond 48 min, it appears that Case 1 would remain <br />the least efficient of the three cases. It is unclear <br />whether Case 2 or 3 would end up producing the <br />greatest surface accumulations since, at 48 min, Case <br />2 has the most hail aloft, whereas Case 3 has more <br />rain. The no-snow case (Case 2) produces the greatest <br />surface accumulation, presumably due to the fact that <br />the snow process of Cases 1 and 3 depletes some of <br />the cloud water, the snow falling out as virga evap- <br />orating before reaching the ground. Compared to the <br />other cases, Case 2 has much larger quantities of <br />cloud ice, which in a sense indicates less efficiency. <br />The amount of cloud ice in Case 2, however, is less <br />than the combined amounts of snow and cloud ice <br />(both inefficient) in Cases I and 3. Case 3 produces <br />an intermediate value of rainout but the greatest sur- <br />face accumulation of hail [6.4 kT km-t vs. 2.0 for <br />Case 1, and 2.5 kT km-1 for Case 2]. This is due to <br />the delay in precipitation formation which causes. <br />much of the hail to form in the upper, colder parts <br />of the cloud; the hail thus formed must fall through <br /> <br />~ <br /> <br />TABLE 2. Surface accumulations, total water vapor flux into <br />storm, and precipitation efficiency at 48 min. The units for the <br />precipitation amounts and water vapor are kT km-I and 109 g <br />k -I . <br />m . <br /> <br /> Total Precip- <br /> Rain Hail precip- Water vapor itation <br /> at at itation at flux into efficiency <br />Case surface surface surface cloud (%) <br />Case I 67.66 2.06 69.71 658.46 10.6 <br />Case 2 80.45 2.49 82.93 671.82 12.3 <br />Case 3 72.29 6.42 78.71 650.44 12.1 <br />
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