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Parameterization of Heterogeneous Droplet Chemistry for Use in Bulk Cloud Models

Po-Fat YuenDepartment of Civil Engineering, University of Washington, Seattle, Washington

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Dean A. HeggDepartment of Atmospheric Sciences, University of Washington, Seattle, Washington

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Timothy V. LarsonDepartment of Civil Engineering, University of Washington, Seattle, Washington

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Mary C. BarthNational Center for Atmospheric Research Boulder, Colorado

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Abstract

Comparison of in-cloud sulfate production by a bulk-parameterized cloud model, a modified bulk parameterized model, and an explicit microphysical model for a wide variety of scenarios has been used as the basis for deriving a parameterization of the effects of heterogeneous cloud chemistry on in-cloud sulfate production. The parameterization, essentially a transfer function relating bulk and explicit model predictions, can be easily employed in large-scale Eulerian cloud models and has been demonstrated to have significant impact on predictions of sulfate deposition.

Abstract

Comparison of in-cloud sulfate production by a bulk-parameterized cloud model, a modified bulk parameterized model, and an explicit microphysical model for a wide variety of scenarios has been used as the basis for deriving a parameterization of the effects of heterogeneous cloud chemistry on in-cloud sulfate production. The parameterization, essentially a transfer function relating bulk and explicit model predictions, can be easily employed in large-scale Eulerian cloud models and has been demonstrated to have significant impact on predictions of sulfate deposition.

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