TCOM-N2O: Daily Zonal Stratospheric Nitrous Oxide Profiles [1991-2021]

1991 to 2021 daily zonal mean stratospheric nitrous oxide (N2O) profiles constructed by Sandip Dhomse at the University of Leeds. The dataset merges TOMCAT chemical transport model simulations with ACE-FTS satellite occultation measurements using XGBoost machine learning for bias correction. Data is provided on both height (15-60 km) and pressure (300-0.1 hPa) levels, divided into five latitude bins.

Use Cases

• Analyzing long-term trends in stratospheric nitrous oxide based on the 31-year time series.
• Validating chemical transport model performance using the machine-learning corrected profiles.
• Studying zonal and vertical distribution of N2O across five defined latitude bins.
• Investigating the impact of reanalysis data discontinuities on the unconstrained 1991-2003 period.

Strengths

• Covers a 31-year time period from 1991 to 2021.
• Uses machine learning (XGBoost) to correct model biases against satellite measurements.
• Provides data on two vertical coordinate systems: 51 height levels and 28 pressure levels.
• Includes profiles for five distinct zonal latitude bins from pole to pole.

Limitations

• No observational constraint for the 1991-2003 period; corrections rely on ERA5 reanalysis continuity.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

University of Leeds

Collection Method

Constructed by applying XGBoost regression to bias-correct TOMCAT chemical transport model outputs using collocated ACE-FTS satellite measurements.

Time Range

1991-2021

Geography

Global, stratified into five zonal latitude bins: SH polar, SH mid-lat, tropics, NH mid-lat, NH polar.