Validate Algorithms for the Determination of Rainfall Rates from SSM/I Microwave Satellite Imagery.

Abstract

During the past two months, our research activities have included (a) updating our catalog of rain cases observed by the SSM/I coincident with radar coverage from our primary or secondary sites, (b) ordering SSM/I, radar, and raingage data for the aforementioned cases, (c) processing the gage-calibrated United Kingdom radar data and merging this data with SSM/I observations to create statistics files, (d) developing software for deriving gage calibration coefficients to be used with uncalibrated radars, (e) writing routines for applying BMDP scatterplot and step-wise multiple linear regression software to the SSM/I-ground truth statistics files, and (f) adapting the NCAR SCD plotting package for the contouring of data fields and the production of other high-quality graphics. In addition, software for creating vertical integrals of volume-scan radar data has been nearly completed. Codes are also under development (with the cooperation of Dr. Gene Poe of NRL) for constructing antenna pattern-matching filters. We are continuing our collaboration with Dr. Chris Kummerow and his colleagues at the Severe Storms Branch of NASA/Goddard Space FLight Center. By this cooperative effort we hope to expedite the radiative transfer modeling necessary for the analysis of SSM/I-ground truth data sets and improve the current rain rate algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Feb 22, 1988
Accession Number
ADA192299

Entities

People

  • John P. Roberts

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Calibration
  • Climate Change
  • Data Sets
  • Engineering
  • Military Research
  • Radiative Transfer
  • Rain
  • Satellite Imaging
  • Space Flight
  • Space Sciences
  • Statistics
  • Technical Information Centers
  • United Kingdom
  • United States
  • Validation
  • Wisconsin

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Database Systems and Applications

Technology Areas

  • Space
  • Space - Space Objects