气候变化领域集成服务门户(CCPortal): Quantifying snowfall from orographic cloud seeding

CCPortal

DOI	10.1073/pnas.1917204117
	Quantifying snowfall from orographic cloud seeding
	Friedrich K.; Ikeda K.; Tessendorf S.A.; French J.R.; Rauber R.M.; Geerts B.; Xue L.; Rasmussen R.M.; Blestrud D.R.; Kunkel M.L.; Dawson N.; Parkinson S.
发表日期	2020
ISSN	0027-8424
起始页码	5190
结束页码	5195
卷号	117 期号:10
英文摘要	Climate change and population growth have increased demand for water in arid regions. For over half a century, cloud seeding has been evaluated as a technology to increase water supply; statistical approaches have compared seeded to nonseeded events through precipitation gauge analyses. Here, a physically based approach to quantify snowfall from cloud seeding in mountain cloud systems is presented. Areas of precipitation unambiguously attributed to cloud seeding are isolated from natural precipitation (<1 mm h−1). Spatial and temporal evolution of precipitation generated by cloud seeding is then quantified using radar observations and snow gauge measurements. This study uses the approach of combining radar technology and precipitation gauge measurements to quantify the spatial and temporal evolution of snowfall generated from glaciogenic cloud seeding of winter mountain cloud systems and its spatial and temporal evolution. The results represent a critical step toward quantifying cloud seeding impact. For the cases presented, precipitation gauges measured increases between 0.05 and 0.3 mm as precipitation generated by cloud seeding passed over the instruments. The total amount of water generated by cloud seeding ranged from 1.2 × 105 m3 (100 ac ft) for 20 min of cloud seeding, 2.4 × 105 m3 (196 ac ft) for 86 min of seeding to 3.4 x 105 m3 (275 ac ft) for 24 min of cloud seeding. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	Cloud seeding; Clouds; Gauge observations; Precipitation; Radar observations
语种	英语
scopus关键词	snow; Article; climate change; cloud seeding; environmental aspects and related phenomena; environmental factor; environmental management; environmental monitoring; population growth; precipitation; priority journal; snowfall; spatial analysis; temporal analysis; water supply
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/161028
作者单位	Friedrich, K., Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO 80309, United States; Ikeda, K., Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO 80307, United States; Tessendorf, S.A., Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO 80307, United States; French, J.R., Department of Atmospheric Science, University of Wyoming, Laramie, WY 82071, United States; Rauber, R.M., Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign, Urbana, IL 61820, United States; Geerts, B., Department of Atmospheric Science, University of Wyoming, Laramie, WY 82071, United States; Xue, L., Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO 80307, United States; Rasmussen, R.M., Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO 80307, United States; Blestrud, D.R., Cloud Seeding Group, Idaho Power Co...
推荐引用方式 GB/T 7714	Friedrich K.,Ikeda K.,Tessendorf S.A.,et al. Quantifying snowfall from orographic cloud seeding[J],2020,117(10).
APA	Friedrich K..,Ikeda K..,Tessendorf S.A..,French J.R..,Rauber R.M..,...&Parkinson S..(2020).Quantifying snowfall from orographic cloud seeding.Proceedings of the National Academy of Sciences of the United States of America,117(10).
MLA	Friedrich K.,et al."Quantifying snowfall from orographic cloud seeding".Proceedings of the National Academy of Sciences of the United States of America 117.10(2020).