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

Content Provider	Scilit
Author	Johnson, Matthew S. Souri, Amir H. Philip, Sajeev Kumar, Rajesh Naeger, Aaron Geddes, Jeffrey Judd, Laura Janz, Scott Chong, Heesung Sullivan, John
Copyright Year	2023
Abstract	Satellite retrievals of tropospheric-column formaldehyde (HCHO) and nitrogen dioxide $(NO_{2}$) are frequently used to investigate the sensitivity of ozone $(O_{3}$) production to emissions of nitrogen oxides and volatile organic carbon compounds. This study inter-compared the systematic biases and uncertainties in retrievals of $NO_{2}$ and HCHO, as well as resulting $HCHO–NO_{2}$ ratios (FNRs), from two commonly applied satellite sensors to investigate $O_{3}$ production sensitivities (Ozone Monitoring Instrument, OMI, and TROPOspheric Monitoring Instrument, TROPOMI) using airborne remote-sensing data taken during the Long Island Sound Tropospheric Ozone Study 2018 between 25 June and 6 September 2018. Compared to aircraft-based HCHO and $NO_{2}$ observations, the accuracy of OMI and TROPOMI were magnitude-dependent with high biases in clean environments and a tendency towards more accurate comparisons to even low biases in moderately polluted to polluted regions. OMI and TROPOMI $NO_{2}$ systematic biases were similar in magnitude (normalized median bias, NMB = 5 %–6 %; linear regression slope ≈ 0.5–0.6), with OMI having a high median bias and TROPOMI resulting in small low biases. Campaign-averaged uncertainties in the three satellite retrievals (NASA OMI; Quality Assurance for Essential Climate Variables, QA4ECV OMI; and TROPOMI) of $NO_{2}$ were generally similar, with TROPOMI retrievals having slightly less spread in the data compared to OMI. The three satellite products differed more when evaluating HCHO retrievals. Campaign-averaged tropospheric HCHO retrievals all had linear regression slopes ∼0.5 and NMBs of 39 %, 17 %, 13 %, and 23 % for NASA OMI, QA4ECV OMI, and TROPOMI at finer (
Ending Page	2454
Page Count	24
Starting Page	2431
e-ISSN	16807324
DOI	10.5194/amt-16-2431-2023
Journal	Atmospheric Chemistry and Physics
Issue Number	9
Volume Number	16
Language	English
Publisher	Copernicus GmbH
Publisher Date	2023-05-16
Access Restriction	Open
Subject Keyword	Remote Sensing Omi and Tropomi Uncertainties in Retrievals Systematic Biases Tropospheric Column
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science