Speaker
Dr
William Ball
(PMOD/WRC Davos & IAC/ETH Zurich)
Description
A lot of effort has been put into acquiring, post-processing, and constructing composite timeseries of ozone observations. It is well documented that much of the uncertainty in long term ozone trends stems from the methodologies applied. Further, often composites lack comparable uncertainties and typically are not independent of each other. These issues lead to difficulties in gaining an accurate estimate of the long-term ozone layer changes, with representative uncertainties; this is the primary problem that LOTUS aims to tackle.
Here, we lay out a new methodology for merging all observations in a robust and principled framework. The approach has the potential to estimate realistic uncertainties, and breach barriers that restrict or impair merging data with different spatial- and temporal-sampling, vertical resolution, and drifts.
We aim this talk as an open discussion to: (i) understand current caveats and limitations of our approach; (ii) integrate essential community knowledge; and (iii) discuss data availability to achieve such a unified product. There are multiple benefits of this approach, although the most relevant to LOTUS should be enhanced trust in trend estimates.
Primary author
Dr
William Ball
(PMOD/WRC Davos & IAC/ETH Zurich)
Co-author
Dr
Justin Alsing
(Flatiron Institute)
