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Last modified
7/28/2009 2:38:05 PM
Creation date
4/16/2008 11:07:28 AM
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Weather Modification
Title
Thailand Applied Atmospheric Research Program - Final Report - Volume II
Date
3/1/1994
Weather Modification - Doc Type
Report
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<br />The second postulate centers on the observation that the updraft regions of convective clouds <br />frequently contain substantial amounts of supercooled liquid water. If this water can be <br />frozen at a faster rate and at warmer temperatures than would have occurred naturally, the <br />latent heats of fusion and deposition will be released, leading to increased cloud buoyancy <br />and greater cloud growth. (Note: Depositional heating does not always add to cloud <br />buoyancy; Orville and Hubbard, 1973) This larger cloud would then process more water <br />vapor, leading to increases in precipitation. <br /> <br />The second postulate is called "dynamic" seeding, or seeding for dynamic effects. With this <br />approach, concentrations of ice nuclei on the order of 100 per liter are thought optimum. <br />This approach is called "dynamic" because the primary result of seeding is the invigoration <br />of the internal circulations that sustain the cloud and the ingestion and processing of more <br />water substance. In theory, at least, this approach can lead to the precipitation of more <br />water than was present in the cloud at the time of seeding. <br /> <br />In reality, neither approach to seeding for rain enhancement produces only "static" or <br />"dynamic" effects. All cloud processes are interactive. For example, microphysical changes <br />(e.g., rapid glaciation) are a prerequisite for the production of dynamic effects, and dynamic <br />changes (e.g., increased updraft) are necessary for the production of more cloud condensate. <br />The cloud processes leading to precipitation are far more complex and interactive than was <br />believed at the time these seeding conclspts were being developed. For ease of reference, the <br />terms "static" and "dynamic" seeding are still used to indicate whether the primary purpose <br />of the seeding is to induce microphysical changes that enhance precipitation efficiency, or to <br />induce dynamic changes that enhance cloud size or duration, respectively. <br /> <br />By extrapolation from seeding experiments in climatologically similar areas and preliminary <br />results from cloud model and field seeding experiments on Thai clouds, it. has been concluded <br />that the most promising cold cloud seeding concept for Thailand is dynamic-mode seeding. <br /> <br />2.3 Summary of Results Relevant to Thailand <br /> <br />The most systematic investigation of the potential of "dynamic seeding" for rainfall <br />enhancement began in clouds overthe Caribbean Sea in the mid-1960s (Simpson et aI., 1967), <br />and continued in Florida in the series of experiments that came to be called the FACE <br />(Florida Area Cumulus Experiment). Although the FACE program did not provide conclusive <br />proof that seeding had increased areal precipitation, the estimated rainfall increases ranged <br />between 10 and 25 percent for the target area, covering 1.3 x 104 square kilometers and <br />between 20 percent and 50 percent for groups of treated convective clouds within the target <br />area (called the "floating target") (Woodley et aI., 1982; 1983). The FACE program also <br />provided strong evidence for substantial increases in rainfall from individual convective <br />clouds and cells. The first experiments (in 1968 and 1970) indicated that the rainfall from <br />individual clouds could be increased by over 100 percent (Simpson and Woodley, 1971). A <br />major breakthrough in the second of the two experiments (1978 to 1980) was made with the <br />development of a method to identify, track, and assess the properties of the treated clouds <br />throughout their lifetimes. Use of this technique permitted a more comprehensive analysis <br />of the effect of seeding on the individual convective cells. Again, the results indicated rain <br />increases of over 100 percent (Gagin et al.,1986). <br /> <br />These results for tropical clouds in Florida provided the impetus for continuation of dynamic <br />seeding research in Texas. The Texas research to date indicates that dynamic seeding has <br /> <br />5 <br />
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