Preprint “Representing chemical history in ozone time-series predictions – a model experiment study building on the MLAir (v1.5) deep learning framework” available

Felix Kleinert et al. submitted their article “Representing chemical history in ozone time-series predictions – a model experiment study building on the MLAir (v1.5) deep learning framework” to the Journal Geoscientific Model Development. It is now available as preprint for public discussion and review at https://gmd.copernicus.org/preprints/gmd-2022-122/ until July 6th 2022.