The preprint of the article “Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties” by Clara Betancourt et al. is now available at https://gmd.copernicus.org/preprints/gmd-2022-2/. It has been accepted for public discussion by the Journal Geoscientific Model Development.
The paper presents a data-driven ozone mapping workflow generating a transparent and reliable product. The global distribution of tropospheric ozone from sparse, irregularly placed measurement stations is mapped to a high-resolution regular grid using machine learning methods.