Articles | Volume 16, issue 21
Model description paper
01 Nov 2023
Model description paper |  | 01 Nov 2023

A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx

Dien Wu, Joshua L. Laughner, Junjie Liu, Paul I. Palmer, John C. Lin, and Paul O. Wennberg

Data sets

Copernicus Sentinel-5P, TROPOMI Level 2 Nitrogen Dioxide total column products ESA

OCO-3 Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files, Retrospective processing v10.4r OCO-2/OCO-3 Science Team, Abhishek Chatterjee, and Vivienne Payne

EDGAR v6.1 Global Air Pollutant Emissions Fabio Monforti Ferrario, Monica Crippa, Diego Guizzardi, Marilena Muntean, Edwin Schaaf, Manjola Banja, Federico Pagani, and Efisio Solazzo

Real-time environmental applications and display system: READY ( G. Rolph, A. Stein, and B. Stunder

Model code and software

STILT for simulating NO2 columns (STILT-NOx) Dien Wu

Short summary
To balance computational expenses and chemical complexity in extracting emission signals from tropospheric NO2 columns, we propose a simplified non-linear Lagrangian chemistry transport model and assess its performance against TROPOMI v2 over power plants and cities. Using this model, we then discuss how NOx chemistry affects the relationship between NOx and CO2 emissions and how studying NO2 columns helps quantify modeled biases in wind directions and prior emissions.