ML-TOMCAT: Global Stratospheric Ozone Profiles from 1979-2020

ML-TOMCAT V1.0 provides 42 years of gap-free global stratospheric ozone profile data from 1979 to 2020. The dataset was created by Sandip Dhomse at the University of Leeds using a Random Forest regression model to correct biases in TOMCAT Chemical Transport Model simulations. It contains monthly mean zonal mean ozone profiles on both geometric height and pressure levels, available in mixing ratio and number density units.

Use Cases

• Analyzing long-term trends in stratospheric ozone based on 42 years of monthly mean data
• Validating satellite ozone measurements using the bias-corrected model profiles
• Studying the vertical distribution of ozone based on profiles from 1 to 60 km
• Comparing ozone concentrations across different atmospheric pressure levels from 1000 to 0.1 hPa

Strengths

• Covers a 42-year time span from 1979 to 2020, providing long-term climate data
• Offers gap-free data corrected for model biases using a Random Forest regression approach
• Provides profiles on both geometric height levels (1-60 km) and 43 MLS pressure levels (1000-0.1 hPa)
• Includes data in both mixing ratio and number density units for different analysis needs

Limitations

• Data below 300 hPa (~8km) and above 1 hPa (~50 km) should be used with caution as noted in the description
• Column-level documentation is absent; field semantics must be inferred after download
• Row count and file size are unknown, which may limit suitability assessment

Provenance

Source

University of Leeds

Collection Method

Bias correction of TOMCAT Chemical Transport Model simulations using Random Forest regression, incorporating satellite data

Time Range

1979-2020

Geography

Global