ML-TOMCAT V2.0: Machine-Learning-Based Satellite-Corrected Global Stratospheric Ozone Profile Dataset

MLTOMCAT V2 is 46 years (1979-2024) of gap free ozone profile data sets that is created by correcting biases in a TOMCAT Chemical Transport Model (CTM) simulated ozone profiles. We use Random Forest regression model to correct model biases. 

Each file contain monthly mean zonal mean ozone profiles. There are 6 data files.

MLTOMCAT_1979_2024_72_ht_vmr_V2.nc contains ozone profiles on geometric height levels (1 to 60 km)  in mixing ratio units, whereas  MLTOMCAT_1979_2024_72_ht_nd_V2.nc contains ozone profile in number density units.

Similarly, 

MLTOMCAT_1979_2024_72_plev_vmr_V2.nc contains ozone profiles on 43 MLS pressure levels  (1000 to 0.1 hPa)  in mixing ratio units, whereas  MLTOMCAT_1979_2024_72_plev_nd_V2.nc contains ozone profile in number density units.

Please note that data below 300 hPa (~8km) and 1 hPa (~50 km) should be used with caution.

There are two straospheric column files

ML-TOMCAT-SCO_120ppb_boundary_V2_197901-202412.nc and

ML-TOMCAT-SCO_150ppb_boundary_V2_197901-202412.nc

Stratospheric column files calculated using 120 ppb and 150 ppb as a chemical ozone boundaries.

A manuscript describing MLTOMCAT would be published in EESD (Dhomse et al., 2021).