ML-TOMCAT V1.0: Machine-Learning-Based Satellite-Corrected Global Stratospheric Ozone Profile Dataset
- 1. University of Leeds, Leeds, UK
- 2. University of Bremen, Bremen, Germany
Description
MLTOMCAT is 42 years (1979-2020) 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 4 data files.
MLTOMCAT_1979_2020_72_ht_vmr.nc contains ozone profiles on geometric height levels (1 to 60 km) in mixing ratio units, whereas MLTOMCAT_1979_2020_72_ht_nd.nc contains ozone profile in number density units.
Similarly,
MLTOMCAT_1979_2020_72_plev_vmr.nc contains ozone profiles on 43 MLS pressure levels (1000 to 0.1 hPa) in mixing ratio units, whereas MLTOMCAT_1979_2020_72_plev_nd.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.
A manuscript describing MLTOMCAT would be published in EESD (Dhomse et al., 2021)
Files
Files
(59.9 MB)
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md5:738da18a7cf95087ceac357a852f9a8f
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md5:4c6aee82430ac6c72cde7b40c79f277b
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17.4 MB | Download |
md5:fb5b4f26cc0bbc775ae5b823f2444db3
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12.5 MB | Download |
md5:43f5f82d826abf59ba8b9d40a3eb2938
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12.5 MB | Download |