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Implementation of warm-cloud processes in a source- oriented WRF/Chem model to study the effect of aerosol mixing state on fog formation in the Central Valley of California

机译:在面向源的WRF / Chem模型中实施暖云过程,以研究气溶胶混合状态对加利福尼亚中央谷地雾形成的影响

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The source-oriented Weather Research and Forecasting chemistry model (SOWC) was modified to include warm cloud processes and was applied to investigate how aerosol mixing states influence fog formation and optical properties in the atmosphere. SOWC tracks a 6-D chemical variable (X, Z, Y, size bins, source types, species) through an explicit simulation of atmospheric chemistry and physics. A source-oriented cloud condensation nuclei module was implemented into the SOWC model to simulate warm clouds using the modified two-moment Purdue Lin microphysics scheme. The Goddard shortwave and long-wave radiation schemes were modified to interact with source-oriented aerosols and cloud droplets so that aerosol direct and indirect effects could be studied.
机译:修改了面向源的天气研究和预报化学模型(SOWC),以包括暖云过程,并用于研究气溶胶混合状态如何影响雾气形成和大气中的光学特性。 SOWC通过对大气化学和物理学的明确模拟来跟踪6维化学变量(X,Z,Y,大小仓,来源类型,种类)。 SOWC模型中采用了面向源的云凝结核模块,以使用改进的两矩Purdue Lin微物理方案模拟暖云。修改了戈达德短波和长波辐射方案,使其与以源为导向的气溶胶和云滴相互作用,从而可以研究气溶胶的直接和间接影响。

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