Work in ozone modeling

Peter Guttorp and Paul D. Sampson (1999): Operational Evaluation of Air Quality Models. Novartis Foundation.

Lawrence H. Cox, Peter Guttorp, Paul D. Sampson, David C. Caccia and Mary Lou Thompson (1999): A Preliminary Statistical Examination of the Effects of Uncertainty and Variability on Environmental Regulatory Criteria for Ozone. Novartis Foundation.

Joel H. Reynolds, Barnali Das, Paul D. Sampson and Peter Guttorp (1998): Meteorological Adjustment of Western Washington and Northwest Oregon Surface Ozone Observations with investigation of Trends. NRCSE Technical Report 15. Acrobat version.

W. Meiring, P. Monestiez, P. D. Sampson, and P. Guttorp (1996): Developments in the modelling of nonstationary spatial convariance structure from space-time monitoring data. In E. Y. Baafi and N. Schofield (eds.): Proceedings of the 5th International Geostatistics Congress.

W. Meiring, P. Guttorp, and P. D. Sampson (1997): Computational Issues in Fitting Spatial Deformation Models for Heterogeneous Spatial Correlation. Proceedings of the Interface.

W. Meiring, P. Guttorp, and P. D. Sampson (1997): Space-time estimation of grid-cell hourly ozone levels for assessment of a deterministic model. Environmental and Ecological Statistics.

W. Meiring, P. Guttorp and P. D. Sampson (1997): On the validity and identifiability of spatial deformation models for heterogeneous spatial correlation structure. Submitted to Mathematical Geology.

F. Bruno, P. Guttorp, P. D. Sampson and D. Cocchi (2009): A simple non-separable, non-stationary spatiotemporal model for ozone.Environ Ecol Stat 16: 515-529

Retern to Peter Guttorp's research page.