JSM 2004 - Toronto

Abstract #301034

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Activity Number: 85
Type: Contributed
Date/Time: Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and the Environment
Abstract - #301034
Title: A Case Study of the Implications of Atmospheric Sonde Data Pre-processing Using "Correction Factors"
Author(s): Wendy Meiring*+
Companies: University of California, Santa Barbara
Address: Statistics and Applied Probability, Santa Barbara, CA, 93105,
Keywords: environmental ; data quality ; ozone ; atmospheric
Abstract:

Atmospheric processes frequently are measured by several instruments, corresponding to a variety of space-time resolutions and sampling schemes. Types of measurement instruments include surface-based, satellite, balloon-based, and airplane-based instruments. Each instrument exhibits its own measurement error processes, with biases that may depend on atmospheric conditions. Atmospheric observations frequently are pre-processed prior to further analysis. For some atmospheric measurements, this pre-processing may involve "correcting" the data from certain instruments to improve agreement with observations from other measuring instruments. In the context of a stratospheric ozone study, we illustrate some of the resulting statistical challenges. We discuss the vital role that analyses of "correction factors" may play in studying data quality, concentrating on a case study of balloon-based ozonesonde data which have been "corrected" based on other instruments. Data pre-processing of this type also has implications for attempts to combine data from different measurement instruments.


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