Synoptic Applications of NOAA Microwave Sounding Data.

Abstract

A statistical study of satellite derived channel 3 Microwave Sounding Unit (MSU) brightness-temperatures and conventionally derived fields by Parke (1994) showed that the MSU can be used to locate baroclinic waves. Most significantly, Parke found high negative average correlations between the synoptic scale MSU and midlevel height patterns in accordance with theory. However, there were instances in his six month sample where the correlations were not as expected. In this thesis, three reasons for these unexpected correlations are investigated. One reason is the inclusion of erroneous data. Another is the statistical method. In particular, the Errico (1985) method of scale separation is found to not remove all unwanted wavelength signals in the data. Moreover, the Eulerian based statistics produce misleading results at times. Results from an example implementation of a simple semi-Lagrangian approach suggests that such a method might produce more reasonable correlations. Thirdly, synoptic regime appears to be a factor. Classifying synoptic regimes with a thermal wind zonal index shows some utility in identifying patterns that are associated with expected correlations. Finally, two case studies are presented that demonstrate the usefulness of MSU data in conjunction with conventional data in individual forecasting situations.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA305970

Entities

People

  • Mark W. Mickelinc

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Artificial Satellites
  • Brightness
  • Case Studies
  • Data Science
  • Data Sets
  • Delphi Method
  • Grids
  • Information Science
  • Measurement
  • Meteorology
  • Microwaves
  • Remote Sensing
  • Satellite Imaging
  • Statistics
  • Undulation
  • United States
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Regression Analysis.
  • Systems Analysis and Design

Technology Areas

  • Space