Use of Air Force Cloud Cover Data to Evaluate and Improve Cloud Forecasts and Parameterizations in Mesocale Meteorological Models.

Abstract

This research utilizes satellite and surfaced derived cloud observations to improve our diagnostic capability of areal cloud coverage. In particular, a new relationship between relative humidity, vertical velocity, and cloud cover has been tested. Results of this research will be used to compliment existing cloud cover parameterization in both regional scale and global scale models. Improved forecasts of fractional areal of cloud cover is the number one meteorological research priority of the US Air Force.

Document Details

Document Type
Technical Report
Publication Date
Oct 28, 1993
Accession Number
ADA277384

Entities

People

  • Chris Walcek

Organizations

  • State University of New York at Albany

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Satellites
  • Cloud Cover
  • Clouds
  • Humidity
  • Models
  • Observation
  • Scale Models

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Space