LES Modeling of Aerosol and Drizzle Effects in Marine Stratocumulus

Abstract

LONG-TERM GOALS. The development and improvement of cloud microphysical and radiative parameterizations for use in cloud scale models OBJECTIVES. Investigation of marine stratocumulus clouds microphysics and radiative processes using the CIMMS LES model with explicit microphysics and radiation. The model simulations based on data from ASTEX and MAST field programs will be used to improve our understanding of the interactions between microphysical, radiative, and thermodynamical processes and to refine parameterizations of microphysical and radiative processes. APPROACH. The modeling part of the research is based on the CIMMS 3-D LES model of boundary layer stratocumulus clouds with explicit formulation of aerosol and drop size-resolving microphysics. The model has been thoroughly verified against observations from ASTEX and other field programs. The University of Oklahoma PhD student, Mr. Alexei Belochitski, will use the model to generate 3D data fields and to calculate the rates of various microphysical processes needed to find relations between bulk variables that can be forecasted in numerical weather prediction models. Dr. Mikhail Ovtchinnikov will use the 3D drop size distributions to calculate the optical properties of clouds and study radiative transfer in inhomogeneous cloud media based on a 3D Monte Carlo radiative transfer model.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1999
Accession Number
ADA636444

Entities

People

  • Yefim L. Kogan

Organizations

  • University of Oklahoma

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Boundaries
  • Boundary Layer
  • Cloud Physics
  • Clouds
  • Large Eddy Simulation
  • Layers
  • Linear Regression Analysis
  • Models
  • Oklahoma
  • Optical Properties
  • Physics
  • Radiative Transfer
  • Regression Analysis
  • Scale Models
  • Simulations
  • Three Dimensional
  • Weather Forecasting

Fields of Study

  • Environmental science
  • Physics

Readers

  • Atmospheric Remote Sensing.
  • Computational Fluid Dynamics (CFD)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers