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Last modified
7/28/2009 2:35:54 PM
Creation date
4/15/2008 2:39:22 PM
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Weather Modification
Project Name
Sierra Cooperative Pilot Project
Title
A Comparison of Seeded and Nonseeded Orographic Cloud Simulations with and Explicit Cloud Model
Prepared By
Michael P. Meyers, Paul J. DeMott and William R. Cotton
Date
4/4/1995
Weather Modification - Doc Type
Report
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<br />836 <br /> <br />JOURNAL OF APPLIED METEOROLOGY <br /> <br />VOLUME 34 <br /> <br />1730 UTC 18 December 1986 Microphysical Conceptual Model <br /> <br /> <br />5 <br /> <br />4 <br /> <br />! 3 <br />i <br />'Ol <br />..Cl <br /> <br />2 <br /> <br />o <br /> <br />-20 <br /> <br />o <br /> <br />20 40 60 <br />horizontal distance (kIn) <br /> <br />100 <br /> <br />80 <br /> <br />120 <br /> <br />FIG, 1. Cross section of the microphysical structure over the barrier for 1730 UTC 18 December <br />1986 adapted from Deshler et al. (I 990). Microphysical characteristics from aircraft measurements <br />are highlighted by stippled areas, Cloud boundary and temperature structure is also included. Sheridan <br />is located near the O-km distance, and Kingvale is located near the 80-km distance. <br /> <br />oratory and in the field generators lead to some amount <br />of uncertainty in specifying seeding for numerical cal- <br />culations (DeMott 1991; Deshler and Reynolds 1991). <br />This sensitivity was also examined in this paper. <br /> <br />3. Parameterization of artificial ice nucleation <br />processes <br /> <br />a. Development of parameterization <br /> <br />An important goal of the study presented in this <br />paper was to explicitly specify ice formation by the <br />actual artificial ice nuclei (IN) used in the SCPP pro- <br />gram for the sim ulation that follows in section 4c. This <br />detailed approach has not previously been used for <br />mesoscale simulations of case studies of clouds seeded <br />for precipitation enhancement. Ice formation is quan- <br />tified as a fraction of available IN (based on conser- <br />vative mixing ratios of seeding material released in <br />known quantities) determined for deposition, conden- <br />sation-freezing, immersion-freezing, and contact- <br />freezing nucleation processes based on the laboratory <br />studies of DeMott (1990, 1994). Deposition nucleation <br />is used to describe ice formation ascribed only to a <br />response to ice supersaturation. Condensation freezing <br />is the instantaneous ice nucleation response of aerosols <br />to water supersaturation, while immersion freezing de- <br />scribes the freezing of cloud droplets containing pre- <br /> <br />viously scavenged (by condensation or collection) ice <br />nucleus aerosols. Contact freezing describes the freezing <br />that instantaneously follows collisions between ice nu- <br />cleus aerosols and cloud droplets caused by various <br />transport mechanisms that are not instantaneous. The <br />experimental results represented in the equations pre- <br />sented by DeMott ( 1994) go far beyond the results of <br />DeMott et al. ( 1983), which quantified primarily the <br />contact-freezing activity of AgI-AgCl aerosols. Depen- <br />dencies on temperature, humidity, and particle size <br />were included as appropriate for each process. <br />For implementing explicit seeding into RAMS, the <br />size dependence was first removed from the equations <br />given by DeMott (1994) by integrating them over a <br />particle size distribution considered to be representative <br />of that produced operationally. Unfortunately, the size <br />distribution of AgI-AgCl aerosols produced by the air- <br />borne solution-combustion generator used in the SCPP <br />case study was not measured. Two possibilities were <br />considered. DeMott et al. (1983) presented an AgI- <br />AgCl size distribution characteristic of a ground-based <br />solution-combustion generator. A size distribution <br />more characteristic of airborne solution-combustion <br />generators was also estimated for AgI-AgCI aerosols. <br />This distribution was based on years oflaboratory data <br />collected for airborne generators burning in a wind <br />tunnel flow simulating flight speeds at the CSU Cloud <br />Simulation and Aerosol Laboratory. Both distributions <br /> <br />
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