Quantifying snowfall from orographic cloud seeding
Quantifying snowfall from orographic cloud seeding
复制标题
DOI：
10.1073/pnas.1917204117
复制
发表时间：
2020-03-10
影响因子：
11.1
通讯作者：
Parkinson, Shaun
中科院分区：
文献类型：
--
作者：
Friedrich, Katja;Ikeda, Kyoko;Parkinson, Shaun
气候变化和人口增长增加了干旱地区对水的需求。半个多世纪以来，云种子被评估为增加供水的技术。统计方法已通过降水表分析比较了种子与非种子事件。在这里，提出了一种基于物理的方法来量化山云系统中云种子的降雪。从自然降水中分离出降水量明确归因于云的区域（
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 (