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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ML-TOMCAT V2.0: Machine-Learning-Based Satellite-Corrected Global Stratospheric Ozone Profile Dataset

Authors: Dhomse S. Sandip; Chipperfield M. P.;

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

Abstract

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).

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Keywords

ozone profile, gap free, satellite corrected, machine learning

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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