Remote Sounding of Atmospheric Temperature Profiles Using the Optical Measure Method

Abstract

This report describes an exploratory investigation on the applicability of the Optical Measure Method (OMM) to the retrieval of atmospheric temperature profiles using both the simulated and HIRS-2 radiances. The basic theory is presented for the OMM. Then described are the synthetic retrieval of temperature profiles using HIRS-2 derived from both polynomial and polynomial-hyperbolic functional fitting of radiances are poor. Two major sources of errors are identified through a forward analysis. One is the variation in the sharpness index of the weighting function with sounding channels, while the other is the surface contribution to radiances. For these reasons, an adjustment scheme has been developed using the concept of scaling factors , which encompasses the effects of variation in the sharpness index, surface discontinuity, channel properties, and functional forms. Retrieved temperature profiles derived from polynomial-hyperbolic functional fitting of adjusted radiances are much improved. The Differential Inversion Method (DIM) for temperature retrieval and OMM are mathematically equivalent. In practice, the DIM works better because of the fitting of radiances in the logarithmic pressure scale, which accounts for some of the surface contribution. Application of the DIM to an archive of 3473 collocated temperatures is within about 3 K below 250 mb. In order to obtain a better accuracy, modifications and refinements are required for the DIM.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1989
Accession Number
ADA244828

Entities

People

  • K. N. Liou
  • S. C. Ou

Organizations

  • University of Utah

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Absorption Coefficients
  • Accuracy
  • Air Force
  • Algorithms
  • Artificial Satellites
  • Atmospheric Temperature
  • Data Sets
  • Equations
  • Exponential Functions
  • Integrals
  • Intensity
  • Nonlinear Algebraic Equations
  • Radiative Transfer
  • Remote Sensing
  • Temperature Inversion
  • Universities
  • Weighting Functions

Readers

  • Approximation Theory.
  • Atmospheric Remote Sensing.