Forecast Model Applications of Satellite-derived Cloud Parameters

Abstract

Development of satellite remote sensing retrieval methods, numerical model studies and field observational research have been conducted to advance the use of cloud physical parameters with the Navy's Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) prediction model. Procedures have been demonstrated for the satellite retrieval techniques and the merging of these retrieved parameters with COAMPS model output. Prediction of boundary layer cloudiness is a critical but difficult aspect of marine forecasting, due to the mesoscale variability of boundary layer dynamic processes and the lack of observations in many oceanic and coastal regions. The ability to correctly simulate and forecast cloud layer evolution is strongly tied to the accuracy with which a model represents the evolution of the cloud profile of liquid water. This is due to the controlling influences of entrainment, turbulent mixing, radiative heating and microphysical processes within stratus decks.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2000
Accession Number
ADA384963

Entities

People

  • Melanie Wetzel
  • Steven Chai

Organizations

  • University of Nevada, Reno

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Satellites
  • Atmospheric Sciences
  • Boundary Layer
  • Case Studies
  • Clouds
  • Coastal Regions
  • Ecology
  • Grids
  • High Resolution
  • Layers
  • Measurement
  • Military Research
  • Radiative Transfer
  • Remote Sensing
  • Stratus Clouds
  • Transitions

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Atmospheric Science/Meteorology
  • Theoretical Analysis.

Technology Areas

  • Space