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

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

doi:https://doi.org/10.5194/gmd-16-6161-2023

Articles | Volume 16, issue 21

https://doi.org/10.5194/gmd-16-6161-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-6161-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

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–NO_x

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

Supplement

https://doi.org/10.5194/gmd-16-6161-2023-supplement

Data sets

Copernicus Sentinel-5P, TROPOMI Level 2 Nitrogen Dioxide total column products ESA https://doi.org/10.5270/S5P-9bnp8q8

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 https://doi.org/10.5067/970BCC4DHH24

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 https://data.jrc.ec.europa.eu/dataset/df521e05-6a3b-461c-965a-b703fb62313e

Real-time environmental applications and display system: READY (https://www.ready.noaa.gov/archives.php) G. Rolph, A. Stein, and B. Stunder https://doi.org/10.1016/j.envsoft.2017.06.025

Model code and software

STILT for simulating NO2 columns (STILT-NOx) Dien Wu https://doi.org/10.5281/zenodo.8057850

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 NO_x chemistry affects the relationship between NO_x and CO₂ emissions and how studying NO₂ columns helps quantify modeled biases in wind directions and prior emissions.