Spectral Radiometric Measurement and Analysis Program. Volume 3. Data Analysis and Formulation of the Model.

Abstract

This report covers a recently completed contract with the United States Air Force Air Weather Service to conduct research into the transfer of atmospheric energy in the visible and near-infrared portions of the electromagnetic spectrum. Its objective was to produce a spectral model of path transmittance, radiance, and ground-level irradiance that could be related to meteorological observations through the use of simultaneous, insitu data collections. For this purpose a mathematical model was developed. It was based on physical equations for a homogeneous atmosphere that were modified by empirical observations made under a broad range of meteorological conditions. With the model it is possible to estimate the visible and near-infrared spectral absorption and scattering phenomena that result from atmospheric constituents, from surface synoptic weather observations. This document presents the details of analysis used to reduce the collected radiometric and meteorological data to a series of equations which became the SCAT3. Examples are also shown illustrating the final model's ability to match observed spectral structure based upon coefficients derived from surface meteorology.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1979
Accession Number
ADA072080

Entities

People

  • G. Schauss
  • Lawrence G. Christensen
  • R. Norton
  • R. Schoenfeld
  • Richard O. Simmons

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Absorption Spectra
  • Air Force
  • Coefficients
  • Data Analysis
  • Databases
  • Electromagnetic Radiation
  • Electromagnetic Spectra
  • Geometry
  • Ground Level
  • Line Of Sight
  • Mathematical Models
  • Measurement
  • Meteorology
  • Optical Properties
  • Physics Laboratories
  • Refraction
  • Scattering

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Image Processing and Computer Vision.
  • Theoretical Analysis.