Clouds-Their Prediction and Simulation.

Abstract

Physically-based cloud forecasting algorithms have been developed in support of the long range goal of developing a comprehensive mesoscale numerical prediction cloud forecast system. Algorithms for forecasting cirrus clouds include development of both heterogeneous and homogeneous ice nucleation schemes, a double-moment ice crystal distribution parameterization, liquid and ice saturation calculations at very cold temperatures, and of radiative properties of cirrus. The impact of these algorithms on mesoscale prediction of cirrus has been evaluated for a number of FIRE I and II cirrus data sets. One of the FIRE stratus cases was simulated to evaluate various boundary layer cloud fractional coverage schemes. The best performIng schemes have been interfaced with the RAMS radiation codes for forecasting boundary layer stratus. A convective cloud parameterization scheme designed for use in mesoscale models has been tested against data observed during the Cape over South Florida. Improvements to the cumulus parameterization scheme are now being made and tested. A new two-moment microphysics scheme has been developed, implemented and tested in RAMS. The additional degrees of freedom in this scheme allow a more realistic prediction of cloud microstructure and corresponding radar reflectivities and optical depths. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Feb 24, 1995
Accession Number
ADA292864

Entities

People

  • W. R. Cotton

Organizations

  • Colorado State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Operations
  • Atmospheric Sciences
  • Boundaries
  • Boundary Layer
  • Case Studies
  • Cirrus Clouds
  • Cloud Physics
  • Clouds
  • Layers
  • Physics
  • Radiative Transfer
  • Scattering
  • Theses
  • Transition Temperature
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers