Speaker
Description
There are now more than 40 years of satellite and ground-based ozone observations, a vast amount of data with which to diagnose variability and trends in stratospheric ozone. Despite this, confidence in the status of long-term trends in ozone remains uncertain, with the way that data from disparate sources are merged being a leading reason uncertainties remain high.
We have formed an International Space Science Institute team that aims to build a rigorous state-of-the-art statistical framework to overcome limitations currently associated with merging multiple instrument data sets with different observing characteristics. The aim is to prototype techniques and pave the way to a unified ozone data set, with realistic uncertainties, to make robust conclusions about the state of atmospheric ozone. I will provide a brief outline of the project and an overview of the aims and timeline of the team.
