Cloud Seedability Study with a Dual-Model System  

作　　者：JIN Ling LEI Heng-Chi KONG Fan-You YANG Jie-Fan HU Zhao-Xia 

机构地区：[1]Institute of Atmospheric Physics,Chinese Academy of Sciences [2]University of Chinese Academy of Sciences [3]Center for Analysis and Prediction of Storms,University of Oklahoma

出　　处：《Atmospheric and Oceanic Science Letters》2013年第4期197-202,共6页大气和海洋科学快报（英文版）

基　　金：supported by the Knowledge Innovation Program of Chinese Academy of Sciences (Grant No. KZCX2-EW-203);the National Basic Research Program of China (Grant No.2013CB430105);the National Department Public Benefit Research Foundation (Grant No.GYHY201006031)

摘　　要：In this research, one-dimensional stratiform a novel dual-model system, cold cloud model （1DSC） coupled to Weather Research and Forecast （WRF） model （WRF-1DSC for short）, was employed to investigate the effects of cloud seeding by silver iodide （AgI） on rain enhancement. Driven by changing environmental conditions extracted from the WRF model, WRF-1DSC could be used to assess the cloud seeding effects quantitatively. The employment of WRF- 1DSC, in place of a one-dimen- sional two-moment cloud seeding model applied to a three-dimensional mesoscale cloud-resolving model, was found to result in massive reduction of computational resources. Numerical experiments with WRF-1DSC were conducted for a real stratiform precipitation event ob- served on 4-5 July 2004, in Northeast China. A good agreement between the observed and modeled cloud system ensured the ability of WRF-1DSC to simulate the observed precipitation process efficiently. Sensitivity tests were performed with different seeding times, locations, and amounts. Experimental results showed that the optimum seeding effect （defined as the percentage of rain enhancement or rain enhancement rate） could be achieved through proper seeding at locations of maximum cloud water content when the updraft was strong. The optimum seeding effect was found to increase by 5.61% when the cloud was seeded at 5.5 km above ground level around 2300 UTC 4 July 2004, with the maximum AgI mixing ratio （As） equaling 15 ng kg-1. On the other hand, for an overseeded cloud, a significant reduction occurred in the accumulated precipitation （-12.42%） as Xs reached 100 ng kg^-1. This study demonstrates the potential of WRF- 1DSC in determining the optimal AgI seeding strategy in practical operations of precipitation enhancement.In this research,a novel dual-model system,one-dimensional stratiform cold cloud model(1DSC) coupled to Weather Research and Forecast(WRF) model(WRF-1DSC for short),was employed to investigate the effects of cloud seeding by silver iodide(AgI) on rain enhancement.Driven by changing environmental conditions extracted from the WRF model,WRF-1DSC could be used to assess the cloud seeding effects quantitatively.The employment of WRF-1DSC,in place of a one-dimensional two-moment cloud seeding model applied to a three-dimensional mesoscale cloud-resolving model,was found to result in massive reduction of computational resources.Numerical experiments with WRF-1DSC were conducted for a real stratiform precipitation event observed on 4-5 July 2004,in Northeast China.A good agreement between the observed and modeled cloud system ensured the ability of WRF-1DSC to simulate the observed precipitation process efficiently.Sensitivity tests were performed with different seeding times,locations,and amounts.Experimental results showed that the optimum seeding effect(defined as the percentage of rain enhancement or rain enhancement rate) could be achieved through proper seeding at locations of maximum cloud water content when the updraft was strong.The optimum seeding effect was found to increase by 5.61% when the cloud was seeded at 5.5 km above ground level around 2300 UTC 4 July 2004,with the maximum AgI mixing ratio(X s) equaling 15 ng kg 1.On the other hand,for an overseeded cloud,a significant reduction occurred in the accumulated precipitation(-12.42%) as X s reached 100 ng kg 1.This study demonstrates the potential of WRF1DSC in determining the optimal AgI seeding strategy in practical operations of precipitation enhancement.

关 键 词：dual-model system AGI cloud seeding WRF clmld model 

分 类 号：P401[天文地球—大气物理学与大气环境]