Articles | Volume 18, issue 13
https://doi.org/10.5194/amt-18-2899-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-2899-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Jul 2025
Research article |
| 07 Jul 2025
| 07 Jul 2025
Maximizing the scientific application of Pandora column observations of HCHO and NO2
NASA Langley Research Center, Hampton, VA 23681, USA
James H. Crawford
CORRESPONDING AUTHOR
NASA Langley Research Center, Hampton, VA 23681, USA
Katherine R. Travis
NASA Langley Research Center, Hampton, VA 23681, USA
Laura M. Judd
NASA Langley Research Center, Hampton, VA 23681, USA
Mary Angelique G. Demetillo
NASA Langley Research Center, Hampton, VA 23681, USA
Lukas C. Valin
Environmental Protection Agency Office of Research and Development, Research Triangle Park, NC 27709, USA
James J. Szykman
Environmental Protection Agency Office of Research and Development, Research Triangle Park, NC 27709, USA
Andrew Whitehill
Environmental Protection Agency Office of Research and Development, Research Triangle Park, NC 27709, USA
Eric Baumann
Environmental Protection Agency Office of Research and Development, Research Triangle Park, NC 27709, USA
Thomas F. Hanisco
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Cited
13 citations as recorded by crossref.
- Intercomparison of Ground-Based Total Column Ozone Measurements from Pandora, Dobson, and Brewer and Validation of the GEMS Total Column Ozone Product H. Lee et al. https://doi.org/10.5322/JESI.2026.35.4.267
- Total ozone bias of the ozone monitoring instrument caused by secondary ozone peaks over East Asia K. Baek et al. https://doi.org/10.1080/01431161.2026.2682564
- Observing complexity in the evolution of formaldehyde in a coastal urban environment with Pandora spectrometer C. Naughton et al. https://doi.org/10.1039/D6EA00097E
- Ozone formation sensitivity based on the secondary formaldehyde-to-nitrogen dioxide ratio (FNRsec) derived from ground-based remote sensing measurements and a chemical transport model N. Chi et al. https://doi.org/10.5194/acp-26-8275-2026
- Fire-driven formaldehyde enhancement and population health burden revealed by TROPOMI in the contiguous U.S. J. Shen et al. https://doi.org/10.1088/1748-9326/ae3788
- Intercomparison of MAX-DOAS, FTIR and direct sun HCHO vertical columns at Xianghe, China G. Pinardi et al. https://doi.org/10.5194/amt-19-1259-2026
- Remote-sensing technologies for air pollution monitoring in the USA: a comprehensive review S. Sapkota et al. https://doi.org/10.1007/s10661-026-15439-2
- Trace gas variability and ozone formation regimes in urban and sub-urban landscape over Greater Washington D.C. area U. Shah et al. https://doi.org/10.1080/27669645.2026.2689861
- Assessment of Pandora and S5P/TROPOMI observations for investigating tropospheric NO2 vertical column densities in Thailand W. Kanchanachat https://doi.org/10.1016/j.atmosenv.2025.121738
- Using Horizontal LiDAR Scans to Capture Net CO2 Emissions at Intra-Urban Spatial Granularity: A Review R. Dubey et al. https://doi.org/10.3390/urbansci10080439
- Direct-sun versus sky-scan Pandora formaldehyde retrievals: implications for satellite validation and sampling representativeness in Tropical Southeast Asia S. Arul et al. https://doi.org/10.5194/amt-19-3713-2026
- Air mass factor sensitivity to a priori profiles in GEMS formaldehyde retrieval during the ASIA-AQ campaign G. Lee et al. https://doi.org/10.1016/j.atmosenv.2026.122255
- Evaluation of Pandora HCHO and NO2 with airborne in situ observations A. Sebol et al. https://doi.org/10.5194/amt-19-5539-2026
13 citations as recorded by crossref.
- Intercomparison of Ground-Based Total Column Ozone Measurements from Pandora, Dobson, and Brewer and Validation of the GEMS Total Column Ozone Product H. Lee et al. https://doi.org/10.5322/JESI.2026.35.4.267
- Total ozone bias of the ozone monitoring instrument caused by secondary ozone peaks over East Asia K. Baek et al. https://doi.org/10.1080/01431161.2026.2682564
- Observing complexity in the evolution of formaldehyde in a coastal urban environment with Pandora spectrometer C. Naughton et al. https://doi.org/10.1039/D6EA00097E
- Ozone formation sensitivity based on the secondary formaldehyde-to-nitrogen dioxide ratio (FNRsec) derived from ground-based remote sensing measurements and a chemical transport model N. Chi et al. https://doi.org/10.5194/acp-26-8275-2026
- Fire-driven formaldehyde enhancement and population health burden revealed by TROPOMI in the contiguous U.S. J. Shen et al. https://doi.org/10.1088/1748-9326/ae3788
- Intercomparison of MAX-DOAS, FTIR and direct sun HCHO vertical columns at Xianghe, China G. Pinardi et al. https://doi.org/10.5194/amt-19-1259-2026
- Remote-sensing technologies for air pollution monitoring in the USA: a comprehensive review S. Sapkota et al. https://doi.org/10.1007/s10661-026-15439-2
- Trace gas variability and ozone formation regimes in urban and sub-urban landscape over Greater Washington D.C. area U. Shah et al. https://doi.org/10.1080/27669645.2026.2689861
- Assessment of Pandora and S5P/TROPOMI observations for investigating tropospheric NO2 vertical column densities in Thailand W. Kanchanachat https://doi.org/10.1016/j.atmosenv.2025.121738
- Using Horizontal LiDAR Scans to Capture Net CO2 Emissions at Intra-Urban Spatial Granularity: A Review R. Dubey et al. https://doi.org/10.3390/urbansci10080439
- Direct-sun versus sky-scan Pandora formaldehyde retrievals: implications for satellite validation and sampling representativeness in Tropical Southeast Asia S. Arul et al. https://doi.org/10.5194/amt-19-3713-2026
- Air mass factor sensitivity to a priori profiles in GEMS formaldehyde retrieval during the ASIA-AQ campaign G. Lee et al. https://doi.org/10.1016/j.atmosenv.2026.122255
- Evaluation of Pandora HCHO and NO2 with airborne in situ observations A. Sebol et al. https://doi.org/10.5194/amt-19-5539-2026
Saved (final revised paper)
Latest update: 04 Sep 2026
Short summary
The Pandonia Global Network (PGN) consists of Pandora spectrometers that observe trace gases at a high time resolution to validate satellite observations and understand local air quality. To aid users, PGN assigns quality flags that assure scientifically valid data but eliminate large amounts of data appropriate for scientific applications. A new method based on contemporaneous data in two independent observation modes is proven using complementary ground-based and airborne observations.
The Pandonia Global Network (PGN) consists of Pandora spectrometers that observe trace gases at...
