The companion paper by Hollandsworth, et al. explains the process of using the potential vorticity(PV)-isentropic coordinate transformation technique by which sparsely observed high resolution vertical ozone profiles are used to create a synthetic 3-dimensional ozone analysis. This technique is highly dependant upon capturing features in the ozone data and the PV fields. Three sources of meteorological data are available by which the PV fields can be determined: the analyses from the NCEP GDAS, the hybrid NCEP/CPC analysis, and the NWS/NCAR Reanalysis. Each has different grid spacing and data handling procedures. PV fields computed from each of these sources vividly expose the differences between them. In addition, more features in the PV fields can be obtained using reverse domain filling(RDF) by which backward trajectories of subsequent day's PV fields are used to add refinement to the base day's PV field. PV fields generated using the RDF technique differ depending upon the number of days used. We will show how the PV fields differ from the three sources and how results differed when used with RDF.
Once the best PV source is determined, a climatology of PVI ozone profiles will be created. These ozone profiles will then be tested at NCEP using its analysis and forecast model. We will discuss how these new PVI climatological ozone profiles impact the NCEP model and the differences between these and the operational ozone profiles