Regression relationships between satellite infrared radiance and tropospheric temperature
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Authors
Hepner, Bruce William
Subjects
Eight predictor
Regression equations
SIRS-B radiances
Regression equations
SIRS-B radiances
Advisors
Martin, Frank L.
Date of Issue
1972-03
Date
March 1972
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Global temperatures are obtained using a linear least squares regression method with satellite radiation measurements, particularly those obtained from the SIRS-B aboard the NIMBUS IV satellite. Regression equations relating
temperature to spectral radiance observations are employed. The regression equations were then applied to independent observations to determine the feasibility of temperature
determinations over sparse data regions.
Type
Thesis
Description
Series/Report No
Department
Meteorology
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.