Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 15
Articles | Volume 18, issue 15
https://doi.org/10.5194/amt-18-3669-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-3669-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 15
Research article
 | 
07 Aug 2025
Research article |  | 07 Aug 2025

Remote sensing estimates of time-resolved HONO and NO2 emission rates and lifetimes in wildfires

Carley D. Fredrickson, Scott J. Janz, Lok N. Lamsal, Ursula A. Jongebloed, Joshua L. Laughner, and Joel A. Thornton

Data sets

FIREX-AQ 2019 The FIREX-AQ Science Team https://www-air.larc.nasa.gov/cgi-bin/ArcView/firexaq

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-pressure-levels?tab=overview

Global Fire Emissions Database (GFED) 4s G. R. van der Werf et al. https://www.geo.vu.nl/~gwerf/GFED/GFED4/

Fire Inventory from NCAR version 2 Fire Emission C. Wiedinmyer and L. Emmons https://rda.ucar.edu/datasets/d312009/

Quick Fire Emissions Dataset v2.5 A. Darmenov and A. da Silva https://portal.nccs.nasa.gov/datashare/iesa/aerosol/emissions/QFED/v2.5r1/0.25/QFED/

CAMS global biomass burning emissions based on fire radiative power (GFAS) J. W. Kaiser et al. https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-fire-emissions-gfas?tab=overview

Model code and software

v0.1.1-custom: Fredrickson et al. 2024 J. Laughner et al. https://doi.org/10.5281/zenodo.13621859

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Short summary
We present an analysis of high-resolution remote sensing measurements of nitrogen-containing trace gases emitted by wildfires. The measurements were made using an instrument on the NASA ER-2 aircraft in the summer of 2019. We find that time-resolved fire intensity is critical to quantify trace gas emissions over a fire's entire lifespan. These findings have implications for improving air pollution forecasts downwind of wildfires using computer models of atmospheric chemistry and meteorology.
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