Feasibility Analysis of Cloud Field Property Inference from Broadband Radiometry.

Abstract

The goal of the study was to explore the capabilities of using passive radiometry to infer descriptive information about an overlying or underlying cloud field. Specific information includes cloud cover, cloud top height and cloud base height, as sensed by airborne broadband radiometers. The cloud information derived from implementation of passive radiometry will be used in tactical planning and as boundary conditions for short term meteorological prediction models. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1981
Accession Number
ADA113133

Entities

People

  • Stephen K. Cox

Organizations

  • Colorado State University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Satellites
  • Cameras
  • Cloud Cover
  • Clouds
  • Detection
  • Detectors
  • Frequency
  • Information Retrieval
  • Infrared Detectors
  • Measurement
  • Observation
  • Photographs
  • Photography
  • Plastic Explosives
  • Remotely Piloted Vehicles

Fields of Study

  • Environmental science

Readers

  • Acoustical Oceanography.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Thermal Physics or Thermal Science.

Technology Areas

  • AI & ML