Clouds - Their Prediction and Simulation

Abstract

Piotr Flatau has nearly completed a new comprehensive two-stream radiative transfer (RT) code which includes cloud water and ice scattering properties. The code is interfaced to the RAMS bulk cloud microphysics module. Several algorithmic improvements have been made to all three major components of the RT package: molecular gases, single scattering properties of clouds, and radiative transfer solver. Reduction and elimination algorithms for the RT solver have been developed. The code has been efficiently written to take advantage of vectorization and parallelization issues. New interfaces to LOWTRAN7 and MODTRAN are also provided. Single scattering properties are included using the anomalous diffraction theory (ADT). A number of members of our research group participated in the FIRE IT Cirrus field experiment in Coffeyville, Kansas (November 12-December 12). This was an extremely successful mission. RAMS was used in a forecasting mode, and data were gathered for future cases studies including data specially tailored for mesoscale modeling during the Intensive Observing Period. We gathered MAPS and NGM data for all the days of the project, collected satellite pictures, and relevant meteorological information. Piotr Flatau and Graeme Stephens also served as mission planning scientists for the NCAR Saberliner aircraft.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1991
Accession Number
ADA250643

Entities

People

  • William R. Cotton

Organizations

  • Colorado State University

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Satellites
  • Case Studies
  • Cirrus Clouds
  • Clouds
  • Cumulus Clouds
  • Delphi Method
  • Diffraction
  • Elimination
  • Error Analysis
  • Meteorology
  • Radiative Transfer
  • Scattering
  • Scientists
  • Stratus Clouds
  • Vapor Pressure

Fields of Study

  • Physics

Readers

  • Academic Conference Management
  • Atmospheric Remote Sensing.
  • Computational Fluid Dynamics (CFD)

Technology Areas

  • Space