Study of Midlatitude and Arctic Aerosol-Cloud-Radiation Feedbacks Based on LES Model with Explicit Ice and Liquid Phase Microphysics.

Abstract

The proposed work is aimed at investigating the cloud radiation feedbacks in midlatitude, subtropical, and high latitude low level clouds. We will continue the study of marine stratocumulus clouds using LES simulations based on FIRE I and FIRE I i/ASTEX observational data. The data will be used to validate the CIMMS LES model and to improve our understanding of the interaction between the microphysical, radiative, and thermodynamical processes. Validation of the model against observations will result in further refinement and improvement in the model physical and numerical formulation. The modeling part of the research will be based on the CIMMS 3-D LES model of a stratocumulus cloud layer that includes an explicit formulation of aerosol and cloud drop size resolving microphysics and radiation. The study of mixed phase clouds will use the new version of the CIMMS model which includes also explicit formulation of the ice phase microphysics. Depending on the physics and the scale of the studied phenomena, the model may be also formulated in a 2-D framework with bulk treatment of microphysics. In accordance with the FIRE III objectives, model simulations and data analysis will aim at the improvement of existing parameterizations of cloud and radiative processes in LES and large scale models.

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Document Details

Document Type
Technical Report
Publication Date
Oct 04, 1996
Accession Number
ADA317771

Entities

People

  • Yefim L. Kogan

Organizations

  • University of Oklahoma

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Boundaries
  • Boundary Layer
  • Case Studies
  • Clouds
  • Condensation
  • Data Analysis
  • Heat Energy
  • Large Eddy Simulation
  • Layers
  • Liquid Phases
  • Physics
  • Radiation
  • Scale Models
  • Simulations
  • Three Dimensional
  • Transitions
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers