TCOM-O3: TOMCAT CTM and Occultation Measurements based daily zonal stratospheric ozone profile dataset [1991-2021] constructed using machine-learning

Dhomse Sandip, S.

Description

Methodology: TOMCAT simulation is performed at T64L32 resolution for the 1991-2021 time period. Collocated ozone profiles are divided in five latitude bins: SH polar (90S-50S), SH mid-lat (70S-20S), tropics (40S-40N), NH mid-lat (20N-70N) and NH polar (50N-90N). Initially, model observational data differences are calculated for each zonal bins for 46 height levels (15km to 60km). Then separate XGBoost regression models are trained for the ozone differences between TOMCAT and measurements at each level for a given latitude bin. Basically, XGBoost assumes all the observation-model bias observations can be linked to TOMCAT setup, hence TOMCAT tracers are used as explanatory variables. TOMCAT output sampled at 1.30 am and 1.30 pm local time at the equator and XGBoost is used to estimate bias corrections for all the model grids that are added to the original TOMCAT ozone profiles. Height resolved data are then interpolated on 28-pressure levels (300 - 0.1hPa). For overlapping latitude bins, we use averages and then calculate daily zonal mean values. For more details see attached presentation. Dataset also includes two files containing daily mean zonal mean ozone profiles on height (15-60 km) and pressure (300-0.1 hPa) levels: A pdf file is included to provide bit more details about the methodology. zmo3_TCOM_hlev_T2Dz_1991_2021.nc – height level data (15 to 60 km) zmo3_TCOM_plev_T2Dz_1991_2021.nc – pressure level data (300 to 0.1 hPa) Daily 3D profiles on height and pressure levels would be made available on request.

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Metrics

Dataset Index

0.4

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Atmospheric Science

Field

Earth and Planetary Sciences

Domain

Physical Sciences

Confidence Score

100%

Source

Open Alex

Keywords

stratosphere, ozone, machine-learning, satellite data, chemical modeling, solar occultation

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00