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2005
DOI: 10.1175/bams-86-5-647
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Weather Modification: Finding Common Ground

Abstract: The 2004 National Academies report on the future of weather modification research is examined by a panel representing the NRC and the Weather Modification Association.

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Cited by 56 publications
(32 citation statements)
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“…Cloud seeding strategies have been established for seeding of cold clouds. There is a need to adapt and optimize seeding strategies according to the different situations based on laboratory findings and numerical models (Garstang et al, 2005). Focusing on the microphysical aspects of cloud seeding, it is required to improve the understanding of how seeding agents form ice.…”
Section: Weather Modification By Cloud Seedingmentioning
confidence: 99%
“…Cloud seeding strategies have been established for seeding of cold clouds. There is a need to adapt and optimize seeding strategies according to the different situations based on laboratory findings and numerical models (Garstang et al, 2005). Focusing on the microphysical aspects of cloud seeding, it is required to improve the understanding of how seeding agents form ice.…”
Section: Weather Modification By Cloud Seedingmentioning
confidence: 99%
“…For firm "proof" (see NRC 2003;Garstang et al 2005) that seeding affects precipitation, both strong physical evidence of appropriate modifications to cloud structures and highly significant statistical evidence is required. Likewise, for firm "proof" that climate engineering is affecting climate, or even that that CO 2 is modifying climate, both strong physical evidence of appropriate modifications to climate and significant statistical evidence is required.…”
Section: Implications Of Cloud Seeding Research To Climate Engineeringmentioning
confidence: 99%
“…In addition, different seeding agents releasing methods and their effects on seeded convective clouds which have a mixed phase have been investigated to a less extent (e.g., Chen and Xiao 2010;Javanmard and Mohammad-Hosseinzadeh 2012). In spite of great progress in cloud seeding operations and numerical modelings (Orville 1996;Garstang et al 2005), there are still many unknowns to be determined (Bruintjes 1999;Silverman 2001).…”
Section: Introductionmentioning
confidence: 99%