Abstract: Using machine learning to bias correct a tropospheric ozone simulation (AGU Fall Meeting 2018)

Using machine learning to bias correct a tropospheric ozone simulation

Peter Ivatt, University of York, York, YO10, United Kingdom and Mathew J Evans, University of York, Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, York, United Kingdom

Back to: Advances in Data Assimilation, Inverse Modeling, and Forecasting of Trace Gases and Aerosols II