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Parameterization of Heterogeneous Droplet Chemistry for Use in Bulk Cloud Models

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  • a Department of Civil Engineering, University of Washington, Seattle, Washington
  • | b Department of Atmospheric Sciences, University of Washington, Seattle, Washington
  • | c Department of Civil Engineering, University of Washington, Seattle, Washington
  • | d National 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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