Unified Very Low Stratus Cloud/Subcloud Microphysics Model: User's Guide

Abstract

Use of computer program MACACASM is described. MACACASM is based on the Rachele-Kilmer microphysics model for simulating very low stratus clouds and their associated subcloud regions. This model uses the assumption that the atmosphere contains particles that grow in the presence of moisture as a function of relative humidity, temperature, and the size and chemistry of the particles. Components of this model include droplet growth and evaporation, phase change and mass balance of total water, thermodynamics, and ascent of a cluster of drops enclosed in moist air. User input includes some conventional meteorological values at a reference height near ground level and some parameter values and other specifications. Vertical profiles of drop size distributions can be simulated and used for further analysis. Examples of further use of drop size distribution profiles include simulation of profiles of extinction, backscatter, absorption, and scattering coefficients. The first part of this guide is intended for the scientist-user. The second part has been prepared for the computer programmer who may be developing other programs related to this model. Backscatter, Clouds, Extinction, Microphysics, Model, Stratus.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1994
Accession Number
ADA286454

Entities

People

  • Neal H. Kilmer

Organizations

  • New Mexico State University

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Absorption Coefficients
  • Air Masses
  • Artillery
  • Atmospheric Sciences
  • Computer Programming
  • Computer Programs
  • Computers
  • Condensation Nuclei
  • Discrete Distribution
  • Heat Energy
  • Heat Of Vaporization
  • Ideal Gas Law
  • Lapse Rate
  • Military Research
  • Partial Pressure
  • Thermodynamics
  • Water Vapor

Fields of Study

  • Environmental science

Readers

  • Aerosol Science/Aerosol Physics
  • Atmospheric Remote Sensing.
  • Computer Science.