Speaker
Dr
William Ball
(PMOD/WRC Davos & IAC/ETH Zurich)
Description
Accurate estimation of decadal trends in stratospheric ozone requires combining observations from multiple instruments. However, the trends derived from different composites disagree due to artefacts in the underlying instrument data or in the merging procedures. We offer an approach to remove these artefacts by applying particle filtering using only the data itself in addition to prior knowledge about ozone variability and known problems during instrument operation. This method, when combined with additional information from instrument PIs, could provide a solution to many of the issues that lead to different decadal trend estimates from the various ozone composites.
Primary author
Dr
William Ball
(PMOD/WRC Davos & IAC/ETH Zurich)
Co-authors
Dr
Daniel Mortlock
(Imperial College London)
Dr
Eugene Rozanov
(PMOD/WRC Davos & IAC/ETH Zurich)
Dr
Fiona Tummon
(ETH Zurich)
Prof.
Joanna Haigh
(Grantham Institute - Imperial College London)
Dr
Justin Alsing
(Simons Foundation, Centre for Computational Astrophysics)
