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<br />.' <br /> <br />e <br />policy statement <br /> <br />e <br /> <br />Planned and Inadvertent Weather Modification <br /> <br />A Policy Statement of the American Meteorological Society <br />as adopted by the Council on 5 January 1992 <br /> <br />1. Introduction <br /> <br />Humans modify the weather deliberately and unin- <br />tentionally; this is well founded in both theory and <br />observation. Evidence accumulated over the last 40 <br />years suggests that certain local weather conditions <br />including fogs, low clouds, and precipitation in some <br />areas can be altered by carefully controlled cloud <br />seeding. Similarly, the effects of inadvertent weather <br />modification are becoming better understood. Cities <br />and industrial complexes affect local weather condi- <br />tions and alter precipitation. Regional weather changes <br />result from other human activities such as deforesta- <br />tion and vehicle traffic on major transportation corri- <br />dors. The focus of this statement is limited to local and <br />regional changes and is mainly concerned with the <br />scientific background to the problem. The Society's <br />policy statement on global climate change is separate <br />and has previously been presented (Bull. Amer. Me- <br />teor. Soc., 72, 57). <br />Early cloud seeding efforts, conducted in the 1940s <br />and 1950s, involved attempts through field operations <br />to increase precipitation without a sound scientific <br />foundation. Most early scientific cloud seeding e>.<peri- <br />ments were designed, conducted, and evaluated on <br />the premise that statistical analyses of one or more <br />variables (primarily precipitation) would yield statisti- <br />cally significant and scientifically acceptable results. <br />Data from many experimental seasons were often <br />required to achieve sufficient numbers of test cases. <br />. Results of such experiments have been mixed, some <br />showing increases, some decreases, and many no <br />statistically significant changes. Most ofthese experi- <br />ments lacked supporting physical documentation as <br />to how precipitation increases, if any, were a.chieved. <br />I n addition, the lack of clear cut replication of the more <br />successful cloud experiments has diminished their <br />credibility and value. Thus, satisfactory determination <br />of the capabilities of cloud seeding to produce desired <br />effects under various conditions has not resulted from <br />the statistical analyses. <br />Developments have expanded our abilities to un- <br />derstand and document precipitation processes. For <br />example, the development of microwave radiometers <br /> <br />Bulletin American Meteorological Society <br /> <br />and their application to the measurement of super- <br />cooled liquid water (SLW) has revealed the existence <br />of low altitude SLW within winter orographic clpuds <br />above the crestlines of mountain barriers. Aircraft- <br />based sensing platforms often fail to detect,low-Ievel <br />SLW because aircraft cannot safely fly sufficiently <br />close to the mountain barriers. Vertically pointing <br />radiometers sited at or near barrier crestlines have <br />often observed quantities of SLW sufficient to give <br />useful additional snowfall if successfully precipitated <br />by cloud seeding. <br />Multiparameter radars, which can distinguish be- <br />tween liquid and ice-phase hydrometeors in clouds, <br />offer new prospects for remote sensing of seeding <br />signatures. Such radars have been successful in <br />differentiating regions of graupel and hail from rainfall. <br />Complementing such physical measurements, dem- <br />onstration seeding trials have confirmed seeding ef- <br />fects from both aerial and ground-based releases. <br />Observations of increased ice-particle concentrations <br />in seeded air volumes also tagged with tracer gases <br />such as sulfur hexafluoride have increased confi- <br />dence that observed effects follow from efforts to <br />stimulate precipitation. <br />Furthermore, recent advances in computer hard- <br />ware, software, and physical understanding have <br />allowed improvements in two- and three-dimensional <br />numerical models which simulate cloud processes. <br />These models continue to provide an ever-improving <br />understanding of the complicated interactions within <br />both natural and seeded clouds. Numerical simula- <br />tions are now able to replicate many of the details <br />observed in actual clouds. The impacts on cloud and <br />precipitation development resulting from slight varia- <br />tions in cloud microphysical or dynamic characteris- <br />tics can be produced for the same cloud, for both <br />natural and seeded circumstances. This is the only <br />manner in which identical clouds can be studied in <br />both treated and untreated versions, which may lead <br />to more confident prediction of seeding effects and <br />thus improved selection criteria for candidate clouds. <br />Similarly, our ability to assess inadvertent modifica- <br />tions of our atmos'pheric environment has also im- <br />proved. Atmospheric changes that might have passed <br /> <br />/1'1o.r-c.h 1992 <br /> <br />331 <br /> <br />