Precipitation Analyses Using SSM/I Measurements for Selected ERICA Cyclones

Abstract

A recently developed Special Sensor Microwave/Imager (SSM/I) exponential rain algorithm is evaluated using passive microwave data from ERICA IOPs 2,3,4, and 5. Resulting SSM/I rain analysis were first compared with aircraft radar and coastal radar data. SSM/I rain analyses in IOPs 2, 3, and 4 were then used with GOES enhanced IR imagery to determine ERICA cyclones' synoptic rain structure. The SSM/I rain analysis in IOP 5 agreed well with the aircraft radar and coastal radar observations. Maximum SSM/I rain rate areas coincided with the radar intensity observations, but SSM/I rain rates were somewhat less than inferred by the radar. SSM/I rain rate analyses clear delineate the liquid precipitation patterns within the IOP 2,3, and 4 cyclones. The SSM/I rain rate data shows promise to significantly improve analysis of precipitation over the ocean, where conventional data is notably sparse.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA246835

Entities

People

  • Bayani J. Almario Jr

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Algorithms
  • Atmospheric Sciences
  • Classification
  • Intensity
  • Measurement
  • Meteorological Radar
  • Meteorological Satellites
  • Meteorology
  • North Carolina
  • Precipitation
  • Radiation
  • Rainfall
  • Satellite Imaging
  • South Carolina
  • United States

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Atmospheric Science/Meteorology

Technology Areas

  • AI & ML