A Review of
Statistical Adjustment of Ozone for Meteorological Variables
Mary Lou Thompson, Joel Reynolds, Larry Cox, Peter
Guttorp, Paul Sampson
|As part of
the review, the following presentation was given at the
EPA's Conference on Environmental Statistics and
"Meteorological Adjustment of
Surface Ozone for Trend Analysis: A review of Chicago
Presented by Joel H. Reynolds at the
1999 EPA Conference on Environmental Statistics and
Information: EPA's Vision for the 21st Century, 10 - 13
May, 1999, Philadelphia, PA.
A variety of
statistical methods for meteorological adjustment of
surface ozone have been proposed in the literature over
the last decade. As part of a larger review of the
literature, we summarize and compare six different
methods applied to the analysis of surface ozone
observations in the Chicago region from the 1981 - 1991
period: nonlinear regression, regression tree models,
extreme events models, time-series filtering, nonlinear
additive time-series models, and canonical covariance
analysis. Differences in the resulting trend analyses
are discussed in terms of differences in each analysis'
spatial domain and choice of ozone statistic. The review
highlights the need for development of techniques for
extreme value analysis of space-time processes.
Link to Meteorological
Adjustment of Surface Ozone for Trend Analysis: A review
of Chicago Region Analyses.