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Applicability of a Measurement System : Sensor Response and Representativeness / PB. MacCready

Conference Author
Air Quality Meteorology and Atmospheric Ozone (1977 : Boulder, Colo.)
Physical Description
1 online resource (9 pages) : illustrations, figures, tables
Additional Creators
MacCready, PB., American Society for Testing and Materials, and ASTM International
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Summary
A complete view of the management (acquiring and use) of meteorological data requires the consideration of many factors, from the dynamic response characteristics of the sensor to the time and spatial representiveness of the final numerical quantity produced. The mathematical techniques for quantifying the various factors associated with a particular measurement are well developed. This paper reviews some fundamentals of the response and errors of typical meteorological sensors, with an emphasis on the sort of responses and errors that arise when the instrument is used in the real turbulent atmosphere, and also reviews factors of averaging and representativeness. Broader aspects of representativeness are also discussed from the perspective of incorporating the measurements into complete atmospheric descriptions or models.
Dates of Publication and/or Sequential Designation
Volume 1978, Issue 653 (January 1978)
Subject(s)
Other Subject(s)
ISBN
9780803147232 (e-ISBN)
9780803102750
0803102755
Digital File Characteristics
text file PDF
Bibliography Note
Includes bibliographical references 6.
Other Forms
Also available online via the World Wide Web. Tables of contents and abstracts freely available; full-text articles available by subscription.
Full text article also available for purchase.
Also available in PDF edition.
Reproduction Note
Electronic reproduction. W. Conshohocken, Pa. : ASTM International, 1978. Mode of access: World Wide Web. System requirements: Web browser. Access may be restricted to users at subscribing institutions.
Technical Details
Mode of access: World Wide Web.
Source of Acquisition
ASTM International PDF Purchase price USD25.
View MARC record | catkey: 27997965