PMID- 35370333
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230602
IS  - 0169-8095 (Print)
IS  - 0169-8095 (Linking)
VI  - 270
DP  - 2022 Jun 1
TI  - Changes in the ozone chemical regime over the contiguous United States inferred 
      by the inversion of NO(x) and VOC emissions using satellite observation.
PG  - 1-14
LID - 10.1016/j.atmosres.2022.106076 [doi]
AB  - To investigate changes in the ozone (O(3)) chemical production regime over the 
      contiguous United States (CONUS) with accurate knowledge of concentrations of its 
      precursors, we applied an inverse modeling technique with Ozone Monitoring 
      Instrument (OMI) tropospheric nitrogen dioxide (NO(2)) and total formaldehyde 
      (HCHO) retrieval products in the summers of 2011, 2014, and 2017, years in which 
      United States National Emission Inventory were based. The inclusion of dynamic 
      chemical lateral boundary conditions and lightning-induced nitric oxide emissions 
      significantly account for the contribution of background sources in the free 
      troposphere. Satellite-constrained nitrogen oxide (NO(x)) and non-methane 
      volatile organic compounds (NMVOCs) emissions mitigate the discrepancy between 
      satellite and modeled columns: the inversion suggested 2.33-2.84 (1.07-1.34) 
      times higher NO(x) over the CONUS (over urban regions) and 0.28-0.81 times fewer 
      NMVOCs emissions over the southeastern United States. The model-derived 
      HCHO/NO(2) column ratio shows gradual spatial changes in the O(3) production 
      regime near urban cores relative to previously defined threshold values 
      representing NO(x) and VOC sensitive conditions. We also found apparent shifts 
      from the NO(x)-saturated regime to the transition regime (or the transition 
      regime to the NO(x)-limited regime) over the major cities in the western United 
      States. In contrast, rural areas, especially in the east-southeastern United 
      States, exhibit a decreased HCHO/NO(2) column ratio by -1.30 +/- 1.71 with a 
      reduction in HCHO column primarily driven by meteorology, becoming sensitive to 
      VOC emissions. Results show that incorporating satellite observations into 
      numerical modeling could help policymakers implement appropriate emission control 
      policies for O(3) pollution.
FAU - Jung, Jia
AU  - Jung J
AD  - Department of Earth and Atmospheric Sciences, University of Houston, TX, USA.
FAU - Choi, Yunsoo
AU  - Choi Y
AD  - Department of Earth and Atmospheric Sciences, University of Houston, TX, USA.
FAU - Mousavinezhad, Seyedali
AU  - Mousavinezhad S
AD  - Department of Earth and Atmospheric Sciences, University of Houston, TX, USA.
FAU - Kang, Daiwen
AU  - Kang D
AD  - Center for Environmental Measurement and Modeling, US Environmental Protection 
      Agency, Research Triangle Park, NC, USA.
FAU - Park, Jincheol
AU  - Park J
AD  - Department of Earth and Atmospheric Sciences, University of Houston, TX, USA.
FAU - Pouyaei, Arman
AU  - Pouyaei A
AD  - Department of Earth and Atmospheric Sciences, University of Houston, TX, USA.
FAU - Ghahremanloo, Masoud
AU  - Ghahremanloo M
AD  - Department of Earth and Atmospheric Sciences, University of Houston, TX, USA.
FAU - Momeni, Mahmoudreza
AU  - Momeni M
AD  - Department of Earth and Atmospheric Sciences, University of Houston, TX, USA.
FAU - Kim, Hyuncheol
AU  - Kim H
AD  - Air Resources Laboratory, National Oceanic and Atmospheric Administration, 
      College Park, MD, USA.
AD  - Cooperative Institute for Satellite Earth System Studies, University of Maryland, 
      College Park, MD, USA.
LA  - eng
GR  - EPA999999/ImEPA/Intramural EPA/United States
PT  - Journal Article
PL  - Netherlands
TA  - Atmos Res
JT  - Atmospheric research
JID - 101154029
PMC - PMC8972085
MID - NIHMS1789194
OTO - NOTNLM
OT  - CMAQ-DDM
OT  - HCHO/NO2 factor
OT  - Inverse modeling
OT  - OMI
OT  - Ozone chemical regime
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2022/04/05 06:00
MHDA- 2022/04/05 06:01
PMCR- 2023/06/01
CRDT- 2022/04/04 05:26
PHST- 2022/04/04 05:26 [entrez]
PHST- 2022/04/05 06:00 [pubmed]
PHST- 2022/04/05 06:01 [medline]
PHST- 2023/06/01 00:00 [pmc-release]
AID - 10.1016/j.atmosres.2022.106076 [doi]
PST - ppublish
SO  - Atmos Res. 2022 Jun 1;270:1-14. doi: 10.1016/j.atmosres.2022.106076.