ML-TOMCAT V1.0: Machine-Learning-Based Satellite-Corrected Global Stratospheric Ozone Profile Dataset
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https://zenodo.org/record/4997958
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资源简介：
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)
创建时间：
2021-11-07
