Contrasting the TEMPO and TROPOMI Views of Tropospheric NO <sub>2</sub> : Implications for Diurnal Variability and Model Evaluation

Abstract Nitrogen dioxide (NO 2 ) is a key indicator of unhealthy air, yet its sub‐daily spatiotemporal variability has not been widely characterized across large spatial scales in North America. Tropospheric Emissions: Monitoring of Pollution (TEMPO), a geostationary hyperspectral UV‐Vis instrument, offers up to 12 hourly observations per location across North America, providing opportunities to better understand NO 2 sub‐daily variability at wide scales. This study evaluates TEMPO tropospheric NO 2 retrievals relative to TROPOspheric Monitoring Instrument (TROPOMI) and highlights the additional value of TEMPO's hourly measurements. When observations overlap, TEMPO and TROPOMI show strong spatial agreement, with some systematic differences: TEMPO NO 2 is lower in unpolluted regions and marginally higher in polluted regions, primarily driven by differing air mass factor (AMF) assumptions, including surface albedo and a priori NO 2 profiles. Applying a geometric AMF to both datasets substantially reduces inter‐sensor differences. TEMPO reveals diurnal NO 2 column patterns that broadly follow surface NO 2 observations but with weaker amplitude and slower morning declines. In rural regions, TEMPO is able to monitor the NO 2 diurnal patterns of wildfires, soils, and long‐range transport. Comparison with a Comprehensive Air Quality Model with extensions simulation shows TEMPO reproduces much of the modeled spatiotemporal variability but highlights some systematic differences. TEMPO NO 2 columns show flatter late afternoon behavior that contrasts with modeled column NO 2 behavior. The simulation underpredicts urban morning NO 2 and overpredicts late‐day NO 2 , indicating potential NO x emission temporalization biases or boundary layer evolution mischaracterizations. Overall, TEMPO's diurnal data enhance our understanding of NO 2 variability and provide robust constraints for air quality models and emissions assessments.

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Journal
Journal of Geophysical Research Atmospheres
Published
2026-07-23
DOI
https://doi.org/10.1029/2026jd046905
Primary Topic
Atmospheric chemistry and aerosols
Type
article
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article

Contrasting the TEMPO and TROPOMI Views of Tropospheric NO 2 : Implications for Diurnal Variability and Model Evaluation

Gaige Hunter Kerr, Omar Nawaz, Jeremiah Johnson, Daniel L. Goldberg et al.
Journal of Geophysical Research Atmospheres
Atmospheric chemistry and aerosols
article

Contrasting the TEMPO and TROPOMI Views of Tropospheric NO 2 : Implications for Diurnal Variability and Model Evaluation

Gaige Hunter Kerr, Omar Nawaz, Jeremiah Johnson, Daniel L. Goldberg, Lulu Chen, Tejas Shah, L Judd, Daniel Huber
article en

Abstract

Abstract Nitrogen dioxide (NO 2 ) is a key indicator of unhealthy air, yet its sub‐daily spatiotemporal variability has not been widely characterized across large spatial scales in North America. Tropospheric Emissions: Monitoring of Pollution (TEMPO), a geostationary hyperspectral UV‐Vis instrument, offers up to 12 hourly observations per location across North America, providing opportunities to better understand NO 2 sub‐daily variability at wide scales. This study evaluates TEMPO tropospheric NO 2 retrievals relative to TROPOspheric Monitoring Instrument (TROPOMI) and highlights the additional value of TEMPO's hourly measurements. When observations overlap, TEMPO and TROPOMI show strong spatial agreement, with some systematic differences: TEMPO NO 2 is lower in unpolluted regions and marginally higher in polluted regions, primarily driven by differing air mass factor (AMF) assumptions, including surface albedo and a priori NO 2 profiles. Applying a geometric AMF to both datasets substantially reduces inter‐sensor differences. TEMPO reveals diurnal NO 2 column patterns that broadly follow surface NO 2 observations but with weaker amplitude and slower morning declines. In rural regions, TEMPO is able to monitor the NO 2 diurnal patterns of wildfires, soils, and long‐range transport. Comparison with a Comprehensive Air Quality Model with extensions simulation shows TEMPO reproduces much of the modeled spatiotemporal variability but highlights some systematic differences. TEMPO NO 2 columns show flatter late afternoon behavior that contrasts with modeled column NO 2 behavior. The simulation underpredicts urban morning NO 2 and overpredicts late‐day NO 2 , indicating potential NO x emission temporalization biases or boundary layer evolution mischaracterizations. Overall, TEMPO's diurnal data enhance our understanding of NO 2 variability and provide robust constraints for air quality models and emissions assessments.

Journal of Geophysical Research AtmospheresVol. 131(14)
Langley Research Center (US), George Washington University (US), Marin Community Foundation (US), Cardiff University (GB)
Sustainable cities and communities
Openalex Percentile: Top 12%
Atmospheric chemistry and aerosols
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