Dataset
TCOM-O3: TOMCAT CTM and occultation measurements based daily zonal stratospheric ozone profile data
Abstract
This dataset contains daily zonal stratospheric ozone (O3) profile outputs between 2000 and 2024 generated by combining 3D TOMCAT Chemical Transport Model (CTM) simulations with solar occultation observations from the ACE-FTS instrument on SCISAT.
The resulting dataset provides daily zonal median mixing ratios across 64 latitude bands (87.86°N to 87.86°S) spanning 9,132 days (2000–2024) and is distributed in two NetCDF files:
• zmo3_tcom_hlev_2000-2024_V2.0.nc - height-level data across 50 altitude levels (1 to 50 km at 1 km resolution, ~234 MB)
• zmo3_tcom_plev_2000-2024_V2.0.nc - pressure-level data interpolated onto 22 standard pressure levels (300 to 1 hPa, ~103 MB)
Core variables store daily zonal median volume mixing ratios (zmo3, in mol/mol) and quantile-regression derived uncertainty estimates (zmo3_uncertainty). Outside the valid observational retrieval range (5 km to 50 km), uncertainty values are set to NaN to explicitly denote uncorrected TOMCAT CTM data.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Please contact the data centre for details on how to access these data.
For data use licensing information please contact: support@ceda.ac.uk |
| Data lineage: |
Data were produced by the project team at the University of Leeds using the offline 3D TOMCAT Chemical Transport Model (CTM) driven by ECMWF ERA5 meteorological reanalyses, bias-corrected against solar occultation measurements from the ACE-FTS satellite instrument (Version 5.2/5.3 retrievals, restricted to 980–1130 cm⁻¹) via Extreme Gradient Boosting (XGBoost) machine learning regression across five latitude bins. The dataset was supplied for long-term archiving at the NERC EDS Centre for Environmental Data Analysis (CEDA) as part of the National Centre for Earth Observation (NCEO) Core Datasets collection. Reference Publications: |
| Data Quality: |
Level-specific uncertainties are quantified using 25th and 75th percentile quantile regression models. For altitudes outside the scientifically valid ACE-FTS observational retrieval range for ozone (5 km to 50 km), uncertainty values are set to NaN to explicitly indicate that mixing ratios represent uncorrected TOMCAT CTM model output. Feature engineering is applied prior to training to adjust for multicollinearity among chemical predictors. SHAP value analysis demonstrates that XGBoost effectively corrects model transport and chemical biases, raising the correlation with ACE-FTS observations from 0.81 (raw CTM) to 0.96 (TCOM) in high-latitude regions.
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| File Format: |
Not defined
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Process overview
| Title | https://catalogue.ceda.ac.uk/uuid/0dae9a32133941daa422df4e1c8598db/ |
| Abstract | |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
No variables found.
Temporal Range
2000-01-01T00:00:00
2024-12-31T00:00:00
Geographic Extent
90.0000° |
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180.0000° |
-180.0000° |
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-90.0000° |