The Use of Air Force Cloud Cover Data to Evaluate and Improve Cloud Forecast and Parameterization in Mesoscale Meteorology Models.

Abstract

Current methods of forecasting cloud cover within meteorology forecast models contain a high level of uncertainty. The primary goal of this research program was to reduce this uncertainty by utilizing satellite and surface-derived cloud observations together with standard meteorological measurements to evaluate and improve our ability to accurately diagnose and forecast cloud coverage. (MM)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 19, 1995
Accession Number
ADA295177

Entities

People

  • Chris J. Walcek

Organizations

  • State University of New York at Albany

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Atmospheric Sciences
  • Boundary Layer
  • Climate
  • Climate Change
  • Cloud Cover
  • Clouds
  • Condensation
  • Heat Energy
  • Latent Heat
  • Measurement
  • Meteorology
  • Phase Transformations
  • Three Dimensional
  • Turbulent Mixing
  • Water Vapor

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Space