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Statistical models of O3 distribution that were developed based on passive sampler data are discussed in reference to models based on emissions input data.
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Extensions to stratified case-cohort sampled data are also provided.
Two consistent least squares schemes for the case of unevenly sampled data are presented.
The sampled data are then Fourier transformed into two ghosted images with N aliasing ghosts.
The sampled data are then Fourier transformed into a set of ghosted images, each with N-fold aliasing ghosts.
Here, the sampled data are fitted by a least-square regression technique.
The SEs from the sampled data are computed using the bootstrap of the full data.
Fitting of geometric primitives to the sampled data is not required.
Sampled data were processed to estimate the characteristics of turbulence.
Sampled data were stored, analysed and minute means derived (after exclusion of artefacts) using LabChart 7 and MS Excel.
30s sampled data were downloaded from the GEONET public ftp site (ftp://163.42.5.1).
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