A high-resolution and observationally constrained OMI NO2 satellite retrieval

Goldberg, Daniel L.; Lamsal, Lok N.; Loughner, Christopher P.; Swartz, William H.; Lu, Zifeng; Streets, David G.

doi:10.5194/acp-17-11403-2017

Title: A high-resolution and observationally constrained OMI NO₂ satellite retrieval

Journal Article · Tue Sep 26 00:00:00 EDT 2017 · Atmospheric Chemistry and Physics (Online)

DOI:https://doi.org/10.5194/acp-17-11403-2017· OSTI ID:1411029

Goldberg, Daniel L. ^[1]; Lamsal, Lok N. ^[2]; Loughner, Christopher P. ^[3];

^[4]; Lu, Zifeng ^[1]; Streets, David G. ^[1]

Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Chicago, Chicago, IL (United States)
Univ. Space Research Assoc., Columbia, MD (United States); NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
NOAA Air Resources Lab., College Park, MD (United States); Univ. of Maryland, College Park, MD (United States)
NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); Johns Hopkins Univ. Applied Physics Lab., Laurel, MD (United States)

Here, this work presents a new high-resolution NO₂ dataset derived from the NASA Ozone Monitoring Instrument (OMI) NO₂ version 3.0 retrieval that can be used to estimate surface-level concentrations. The standard NASA product uses NO₂ vertical profile shape factors from a 1.25° × 1° (~110 km × 110 km) resolution Global Model Initiative (GMI) model simulation to calculate air mass factors, a critical value used to determine observed tropospheric NO₂ vertical columns. To better estimate vertical profile shape factors, we use a high-resolution (1.33 km × 1.33 km) Community Multi-scale Air Quality (CMAQ) model simulation constrained by in situ aircraft observations to recalculate tropospheric air mass factors and tropospheric NO₂ vertical columns during summertime in the eastern US. In this new product, OMI NO₂ tropospheric columns increase by up to 160% in city centers and decrease by 20–50 % in the rural areas outside of urban areas when compared to the operational NASA product. Our new product shows much better agreement with the Pandora NO₂ and Airborne Compact Atmospheric Mapper (ACAM) NO₂ spectrometer measurements acquired during the DISCOVER-AQ Maryland field campaign. Furthermore, the correlation between our satellite product and EPA NO₂ monitors in urban areas has improved dramatically: r² = 0.60 in the new product vs. r² = 0.39 in the operational product, signifying that this new product is a better indicator of surface concentrations than the operational product. Our work emphasizes the need to use both high-resolution and high-fidelity models in order to recalculate satellite data in areas with large spatial heterogeneities in NO_x emissions. Although the current work is focused on the eastern US, the methodology developed in this work can be applied to other world regions to produce high-quality region-specific NO₂ satellite retrievals.

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Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USEPA

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 1411029

Journal Information:: Atmospheric Chemistry and Physics (Online), Vol. 17, Issue 18; ISSN 1680-7324

Publisher:: European Geosciences UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 46 works

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Quantification of the effect of modeled lightning NO ₂ on UV–visible air mass factors Laughner, Joshua L.; Cohen, Ronald C. Atmospheric Measurement Techniques, Vol. 10, Issue 11 https://doi.org/10.5194/amt-10-4403-2017	journal	January 2017
Evaluation of version 3.0B of the BEHR OMI NO ₂ product Laughner, Joshua L.; Zhu, Qindan; Cohen, Ronald C. Atmospheric Measurement Techniques, Vol. 12, Issue 1 https://doi.org/10.5194/amt-12-129-2019	journal	January 2019
Evaluating the impact of spatial resolution on tropospheric NO₂ column comparisons within urban areas using high-resolution airborne data Judd, Laura M.; Al-Saadi, Jassim A.; Janz, Scott J. Atmospheric Measurement Techniques, Vol. 12, Issue 11 https://doi.org/10.5194/amt-12-6091-2019	journal	January 2019
A top-down assessment using OMI NO ₂ suggests an underestimate in the NO _x emissions inventory in Seoul, South Korea, during KORUS-AQ Goldberg, Daniel L.; Saide, Pablo E.; Lamsal, Lok N. Atmospheric Chemistry and Physics, Vol. 19, Issue 3 https://doi.org/10.5194/acp-19-1801-2019	journal	January 2019
An Observation‐Based Correction for Aerosol Effects on Nitrogen Dioxide Column Retrievals Using the Absorbing Aerosol Index Cooper, Matthew J.; Martin, Randall V.; Hammer, Melanie S. Geophysical Research Letters, Vol. 46, Issue 14 https://doi.org/10.1029/2019gl083673	journal	July 2019
Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product Lee, Jae-Hyeong; Lee, Sang-Hyun; Kim, Hyun Cheol Remote Sensing, Vol. 11, Issue 16 https://doi.org/10.3390/rs11161861	journal	August 2019
Assessment of NO₂ observations during DISCOVER-AQ and KORUS-AQ field campaigns Choi, Sungyeon; Lamsal, Lok N.; Follette-Cook, Melanie Atmospheric Measurement Techniques, Vol. 13, Issue 5 https://doi.org/10.5194/amt-13-2523-2020	journal	January 2020
Disentangling the Drivers of the Summertime Ozone‐Temperature Relationship Over the United States Kerr, Gaige Hunter; Waugh, Darryn W.; Strode, Sarah A. Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 19 https://doi.org/10.1029/2019jd030572	journal	October 2019
Retrieval of total column and surface NO₂ from Pandora zenith-sky measurements Zhao, Xiaoyi; Griffin, Debora; Fioletov, Vitali Atmospheric Chemistry and Physics, Vol. 19, Issue 16 https://doi.org/10.5194/acp-19-10619-2019	journal	January 2019
Mapping and Statistical Analysis of NO2 Concentration for Local Government Air Quality Regulation Ryu, Jieun; Park, Chan; Jeon, Seong Woo Sustainability, Vol. 11, Issue 14 https://doi.org/10.3390/su11143809	journal	July 2019
NO ₂ and HCHO measurements in Korea from 2012 to 2016 from Pandora spectrometer instruments compared with OMI retrievals and with aircraft measurements during the KORUS-AQ campaign Herman, Jay; Spinei, Elena; Fried, Alan Atmospheric Measurement Techniques, Vol. 11, Issue 8 https://doi.org/10.5194/amt-11-4583-2018	journal	January 2018

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High-resolution OMI NO2 for mid-Atlantic USA: June & July 2008 - 2012 Goldberg, Daniel https://doi.org/10.6084/m9.figshare.12783272.v1 The current record is supplemented by this dataset	dataset	January 2020
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Title: A high-resolution and observationally constrained OMI NO2 satellite retrieval

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Title: A high-resolution and observationally constrained OMI NO₂ satellite retrieval