The Numerical Simulation of Cloud Seeding Effects in Cloud Scale and Mesoscale Models

深对流风暴降水的形成有很长的时间 被认为是一个复杂的过程， 需要模拟来帮助科学家理解 关键的物理过程。 情况更为 在考虑人工智能的问题时， 改性沉淀。 主要研究者将使用先进的数值模型 研究人工降雨对云和区域尺度的影响。 要解决的问题包括：（1）如何分配 （2）降雨量可以通过播云改变;（3）可以 在一个云团中的单个云团中播种， 世代发展的良好环境 云;冰的主要和次要模式是什么 在不同类型的云中生成，以及播种如何影响 这些不同的情况？ 模型结果将持续 与从以前完成的现场收集的实际数据相比 程序. 在获奖的第二年，首席研究员可以 参与一个现场项目，使用真实的 时间预测模式。 模型结果将用于帮助指导 每天都有现场活动。

Formation of precipitation in deep convective storms has long been recognized as such a complex process that numerical simulations are needed to assist scientists in understanding critical physical processes. The situation is even more complicated when considering the question of artificial modification of precipitation. The Principal Investigator will use advanced numerical models to study cloud seeding effects on the cloud and regional scale. Questions to be addressed include: (1) how would the distribution of precipitation over an area be altered by cloud seeding; (2) can seeding of individual clouds within a cloud group lead to a more favorable environment for the development of successive generations of clouds; what are the primary and secondary modes of ice generation in clouds of different types and how does seeding affect these different situations? Model results will be continuously compared to actual data collected from previously completed field programs. In the second year of the award the Principal Investigator may participate in a field program using the numerical models in a real time predictive mode. Model results will be used to help guide the activities of the field program on a daily basis.