Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during  the Long Island Sound Tropospheric Ozone Study 2018  (LISTOS 2018) field campaign

Johnson, Matthew S.; Souri, Amir H.; Philip, Sajeev; Kumar, Rajesh; Naeger, Aaron; Geddes, Jeffrey; Judd, Laura; Janz, Scott; Chong, Heesung; Sullivan, John

doi:https://doi.org/10.5194/amt-16-2431-2023

Articles | Volume 16, issue 9

https://doi.org/10.5194/amt-16-2431-2023

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

https://doi.org/10.5194/amt-16-2431-2023

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

Articles | Volume 16, issue 9

Research article

|

16 May 2023

Research article |

| 16 May 2023

Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign

Matthew S. Johnson, Amir H. Souri, Sajeev Philip, Rajesh Kumar, Aaron Naeger, Jeffrey Geddes, Laura Judd, Scott Janz, Heesung Chong, and John Sullivan

Supplement

https://doi.org/10.5194/amt-16-2431-2023-supplement

Data sets

QA4ECV NO2 tropospheric and stratospheric vertical column data from OMI K. F. Boersma, H. Eskes, A. Richter, I. De Smedt, A. Lorente, S. Beirle, J. Van Geffen, E. Peters, M. Van Roozendael, and T. Wagner https://doi.org/10.21944/qa4ecv-no2-omi-v1.1

OMI/Aura Formaldehyde (HCHO) Total Column 1-orbit L2 Swath 13x24 km V003 K. Chance https://doi.org/10.5067/Aura/OMI/DATA2015

QA4ECV HCHO tropospheric column data from OMI I. De Smedt, H. Yu, A. Richter, S. Beirle, H. Eskes, K. F. Boersma, M. Van Roozendael, J. Van Geffen, T. Wagner, A. Lorente, and E. Peters https://doi.org/10.18758/71021031

Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project I. De Smedt, N. Theys, H. Yu, T. Danckaert, C. Lerot, S. Compernolle, M. Van Roozendael, A. Richter, A. Hilboll, E. Peters, M. Pedergnana, D. Loyola, S. Beirle, T. Wagner, H. Eskes, J. van Geffen, K. F. Boersma, and P. Veefkind https://doi.org/10.5194/amt-11-2395-2018

Sentinel-5P TROPOMI Tropospheric Formaldehyde HCHO 1-Orbit L2 7km x 3.5km (S5P_L2__HCHO__) ESA Copernicus Sentinel-5P: https://doi.org/10.5270/S5P-tjlxfd2

GCAS and GeoTASO measurements of NO2 and CH2O S. Janz https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?NASA-AIRCRAFT=1

Sentinel-5P NO2 products reprocessed with the NL-L2 processor v2.3.1 H. E. Jos van Geffen, M. Sneep, P. Veefkind, S. Niemeijer, and C. Zehner https://data-portal.s5p-pal.com/

OMI/Aura Nitrogen Dioxide (NO2) Total and Tropospheric Column 1-orbit L2 Swath 13x24 km V003 N. A. Krotkov, L. N. Lamsal, S. V. Marchenko, E. J.Bucsela, W. H. Swartz, J. Joiner and the OMI core team https://doi.org/10.5067/Aura/OMI/DATA2017

Short summary

Satellites provide vital information for studying the processes controlling ozone formation. Based on the abundance of particular gases in the atmosphere, ozone formation is sensitive to specific human-induced and natural emission sources. However, errors and biases in satellite retrievals hinder this data source’s application for studying ozone formation sensitivity. We conducted a thorough statistical evaluation of two commonly applied satellites for investigating ozone formation sensitivity.