Mixed Layer Modeling of Aerosols in the Marine Boundary Layer.

Abstract

A mixed layer dynamic model for the structure and evolution of aerosols in the marine regime is presented. The ambient aerosol spectrum is divided into the continental and sea salt components and transformed to a reference saturation ratio, S = 0.8 (80% relative humidity). The temporal evolution of the aerosol spectrum is predicted from rate equations which require a specification of the surface production rate, the entrainment rate, (W(e)) and the mixed layer depth (h). The model was tested against a marine data set obtained off Southern California during the CEWCOM-78 experiment. The test was with two different methods of obtaining the relevant meteorological and aerosol parameters: (1) actual measurements and (2) dynamic boundary layer model prediction and parameterization. In the first case the model reproduced the aerosol data within a factor of 1.5 while in the second case the uncertainty factor was 2.0. In either case the model only modestly outperforms the much simpler Wells-Munn-Katz (WMK) model, which uses only local specification of the wind speed and humidity. Suggested improvements of the mixed layer model are presented. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1982
Accession Number
ADA116509

Entities

People

  • Christopher W. Fairall
  • Gordon E. Schacher
  • Kenneth L. Davidson

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Atmospheric Sciences
  • Boundary Layer
  • Clouds
  • Data Sets
  • Equations
  • Humidity
  • Inversion
  • Layers
  • Measurement
  • Meteorology
  • Military Research
  • Model Tests
  • Navy
  • Research Facilities
  • Sea Surface Temperature
  • Surface Temperature
  • Test And Evaluation

Fields of Study

  • Environmental science

Readers

  • Mathematics or Statistics
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Spectroscopy.