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Last modified
7/28/2009 2:35:20 PM
Creation date
3/11/2008 11:30:28 AM
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Weather Modification
Title
Harold D. Orville Symposium - Forty Years of Modeling Clouds and Weather Modification
Date
4/26/2003
Weather Modification - Doc Type
Report
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<br />I <br /> <br />I <br /> <br />formation and the influence of timing and other factors <br />on the potential for successful hail suppression. <br /> <br />I <br /> <br />IV. HYGROSCOPIC SEEDING SIMULATIONS <br /> <br />I <br /> <br />Hygroscopic seeding seeks to increase the <br />efficiency of the warm rain process. As such, most <br />early studies of hygroscopic seeding tended to neglect <br />the ice phase and deal only with warm rain processes. <br />Detailed microphysical models were the preferred <br />vehicle for these studies, with Farley and Chen (1975) <br />being an example of IAS efforts in this area. That study <br />stressed the importance of the drop breakup process in <br />achieving a positive seeding effect in a one-dimensional <br />time-dependent model simulation of the salt-seeded <br />case of Biswas and Dennis (1972). More recent studies <br />employing detailed microphysics by various other <br />researchers have addressed critical aspects of <br />hygroscopic seeding such as the size of the salt particles <br />used in seeding, the amount of seeding material, and the <br />time and location of seeding. Examples of this work <br />include Tzivion et al. (1994), Reisin et al. (1996a,b) <br />and Yin et al. (2000). These studies have also extended <br />the detailed treatment to include the ice phase to <br />examine the influence of hygroscopic seeding on ice <br />formation. Unfortunately, the axisymmetric framework <br />employed in these studies is not suitable for <br />investigations of dynamic effects. <br /> <br />I <br /> <br />I <br /> <br />I <br /> <br />I <br /> <br />I <br /> <br />I <br /> <br />Initial simulations of hygroscopic seeding by lAS <br />staff using first and second generation treatments with <br />parameterized microphysical schemes were probably <br />based on unrealistic representations of likely effects. <br />They tended to predict rain increases for cases of <br />cellular convection, and precipitation decreases for a <br />quasi-steady updraft case (Orville and Kopp, 1974). <br /> <br />I <br /> <br />I <br /> <br />Results of hygroscopic seeding experiments using <br />third generation seeding techniques described in Kopp <br />(1994) and Kopp et al. (1996) show positive effects as <br />the initial response to seeding with indications of <br />complex interactions in later stages which can either <br />enhance or retard subsequent cloud and precipitation <br />development. This finding, together with the general <br />finding from field studies that hygroscopic seeding <br />apparently induces dynamic effects which extend <br />beyond the lifetime of the initial cloud being treated, <br />prompted longer term simulations in subsequent <br />studies. <br /> <br />I <br /> <br />I <br /> <br />I <br /> <br />I <br /> <br />The variable nature of the results produced by <br />these extended simulations led to a simplified concept <br />to evaluate the effects of hygroscopic seeding (Orville <br />et al., 1998). This involved the simulation of extreme <br />cases, one an extreme continental case with the <br />autoconversion process disabled and the other an <br />extreme maritime case with auto conversion active as <br />soon as cloud formed. Figures 16 and 17, derived from <br /> <br />I <br /> <br />I <br /> <br />I <br /> <br />material in Kopp et at. (1998) and Wang (2003), <br />provide justification for this approach. Note that the <br />results of salt flare seeding simulations lie somewhere <br />between the two extremes, with a positive seeding <br />effect indicated for the moderate case in Fig. 16 <br />whereas the strong case shown in Fig. 17 indicates <br />decreases in both rain and hail as a result of <br />hygroscopic seeding. <br /> <br />This simple concept that the difference in these <br />extreme cases represents perfect seeding of a <br />continental cloud facilitates the study of a wide variety <br />of cases without considering the details of hygroscopic <br />seeding. Wang (2003) reports on the application of this <br />simple concept for a variety of cases using two- and <br /> <br />7 <br /> <br />6 <br /> <br /> <br />,,5 <br />E <br />.s. <br />:1:4 <br />Ii: <br />W <br />Q <br />..J <br />..J3 <br />if <br />Z <br />~2 <br /> <br />o <br />024 8 8 ro ~ M ~ ~ ~ <br />DISTANCE FROM LEFT BOUNDARY (km) <br /> <br />40 <br /> <br />3Il <br /> <br /> <br />)30 <br />{ZS <br /> <br />.....--..-...----- <br />, <br />, <br />, <br />, <br />/":~:=-;~::::~:==.:- <br />! / ......-....... <br />:/ / <br />// ... <br />1 / <br /> <br />.... <br />~ 20 <br />z <br />i 16 <br />~ <br />~ 10 <br /> <br />o <br />o <br /> <br />w ~ 30 40 ~ ~ ~ ~ ~ <br />lIME (mln) <br /> <br />Fig. 16. Top panel - horizontal distribution of <br />surface rainfall for moderate ND case. Bottom <br />panel - total surface rain versus time. The solid line <br />is the extreme maritime case, the dotted line is for <br />the extreme continental case. The dashed and do/- <br />dash lines depict the results of hydroscopic flare <br />seeding. <br /> <br />29 <br />
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