- descriptions of the data used to support each analysis;

- identification of models and analytical techniques used to perform the analysis

- outcome of each analysis and whether it is consistent with a conclusion that the SIP is

on track;

- a narrative describing the rationale used to conclude that the weight of evidence

supports or does not support a conclusion that the SIP is on track.

5.0 Cited References

Blanchard, C.L., F.W. Lurmann, P.M. Roth, H.E. Jeffries and M. Korc, (1999), “The Use of

Ambient Data to Corroborate Analyses of Ozone Control Strategies”, Atmospheric

Environment 33, pp.369-381.

Cox, W.M. and S.H. Chu, (1993), “Meteorologically Adjusted Ozone Trends in Urban Areas:

A Probabilistic Approach”, Atmospheric Environment 27B, (4), pp.425-434.

Deuel, H.P. and S.G. Douglas, (1996), Regional Ozone Patterns in the Eastern U.S. 1985-

1995: Statistical Pattern Analysis and Classification of Regression Tree (CART)

Analysis in Support of the Ozone Transport Assessment Group (OTAG) Modeling Effort,

Prepared for Southeast Modeling Center by Systems Applications< Inc., SYSAPP-96/50,

San Rafael, CA., (October 1996).

Hogrefe, C., S.T. Rao, I.G. Zurbenko and P.S. Porter, (2000), “Interpreting the Information in

Ozone Observations and Model Predictions Relevant to Regulatory Policies in the

Eastern United States”, Accepted for publication in Bulletin of the American

Meteorological Society.

Lu, C.H. and J.S. Chang, (1998), “On the Indicator-Based Approach to Assess Ozone

Sensitivities and Emissions Features”, J. Geophysical Research 103, pp.3453-3462.



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