Paper
1 September 1990 Diurnal and seasonal variation of structural element thermal signatures
John O. Curtis, Salvador Rivera Jr.
Author Affiliations +
Abstract
A statistical approach is taken to present and analyze large amounts of physical and radiometric temperature data for structural materials as well as weather data collected over a period of several years at sites in both the United States and Europe. Diurnal temperature curves are presented as a function of time-of-year, surface material type, and surface orientation. Empirical temperature prediction models for different surface types as a function of weather parameters are developed for a given set of data to demonstrate the utility of maintaining large temperature/weather data bases in support of first-principles thermal modeling.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John O. Curtis and Salvador Rivera Jr. "Diurnal and seasonal variation of structural element thermal signatures", Proc. SPIE 1311, Characterization, Propagation, and Simulation of Infrared Scenes, (1 September 1990); https://doi.org/10.1117/12.21828
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Cited by 1 scholarly publication.
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KEYWORDS
Metals

Temperature metrology

Infrared radiation

Data modeling

Statistical analysis

Scene simulation

Software development

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