Determination of the Robustness of Passive Microwave Measurements and Derivative Parameters for Use in Precipitation Discrimination Over Land.

Abstract

In this study, a large set of microwave and infrared parameters, derived from the Special Sensor Microwave/Imager (SSM/I) and the Indian Geosynchronous Satellite (INSAT), are examined to qualitatively determine how much contrast exists between raining and non-raining conditions over land. The precipitation regime of the Indian summer monsoon was chosen for the evaluation testbed. Each of the microwave parameters contain measurements which were enhanced, through a deconvolution technique, to match the spatial resolution of the 85 GHz channel (15 x 13 km). The microwave and infrared measurements are grouped into Probability Distribution Functions (PDFs) and Cumulative Distribution Functions (CDFs) containing one week of measurements for each parameter and time of satellite measurement within a Indian subdivision. The mean and standard deviation of each PDF and the slope and intercept factors of each CDF are tested for robustness against weekly subdivisional raingage data.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADA265492

Entities

People

  • John S. Shattuck

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Satellites
  • Business Administration
  • Detection
  • Distribution Functions
  • Geosynchronous Satellites
  • Grids
  • Measurement
  • Meteorological Satellites
  • Meteorology
  • Probability Distribution Functions
  • Probability Distributions
  • Radiation
  • Regression Analysis
  • Remote Sensing
  • Training
  • United States

Readers

  • Atmospheric Remote Sensing.
  • Atmospheric Science/Meteorology
  • Statistical inference.

Technology Areas

  • Space