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.
Authors
- Gaige Hunter Kerr (ORCID: https://orcid.org/0000-0001-8869-0752)
- Omar Nawaz
- Jeremiah Johnson (ORCID: https://orcid.org/0000-0001-5477-7569)
- Daniel L. Goldberg (ORCID: https://orcid.org/0000-0003-0784-3986)
- Lulu Chen (ORCID: https://orcid.org/0000-0002-8929-3414)
- Tejas Shah (ORCID: https://orcid.org/0000-0003-4322-4867)
- L Judd
- Daniel Huber
Institutions
- Langley Research Center (US)
- George Washington University (US)
- Marin Community Foundation (US)
- Cardiff University (GB)
Publication Details
- 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
- Field-Weighted Citation Impact
- 0.00