ML-TOMCAT: machine-learning-based satellite-corrected global stratospheric ozone profile data set from a chemical transport model - Dhomse, Sandip S.; Arosio, Carlo; Feng, Wuhu; Rozanov, Alexei; Weber, Mark; Chipperfield, Martyn P. (Earth system science data, 2021)
Keywords: Aerosols; Air pollution; Algorithms; Analysis; Atmospheric models; Atmospheric ozone; Atmospheric processes; Atmospheric research; Chemical transport; Chemistry; Chlorine; Datasets; Decision trees; Emission measurements; Environmental aspects; Experiments; Fourier transforms; Gases; Instruments; Learning algorithms; Machine learning; Measurement methods; Measurement techniques; Measuring instruments; Ozone; Ozone profiles; Parameter uncertainty; Photochemicals; Photochemistry; Process parameters; SAGE satellite; Satellite data; Satellite instruments; Satellite-borne instruments; Satellites; Simulation; Solar flux; Stratosphere; Three dimensional models; Time series; Transport; Trends; Tropopause; Troposphere; Upper atmosphere; Upper Atmosphere Research Satellite (UARS); Canada; Montreal Quebec Canada