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Title: A high-resolution and observationally constrained OMI NO 2 satellite retrieval

Abstract

Here, this work presents a new high-resolution NO 2 dataset derived from the NASA Ozone Monitoring Instrument (OMI) NO 2 version 3.0 retrieval that can be used to estimate surface-level concentrations. The standard NASA product uses NO 2 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 NO 2 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 NO 2 vertical columns during summertime in the eastern US. In this new product, OMI NO 2 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 NO 2 and Airborne Compact Atmospheric Mapper (ACAM) NO 2 spectrometer measurements acquired during the DISCOVER-AQ Maryland field campaign. Furthermore, the correlation between our satellite product and EPA NO 2 monitors in urban areas hasmore » improved dramatically: r 2 = 0.60 in the new product vs. r 2 = 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 NO 2 satellite retrievals.« less

Authors:
 [1];  [2];  [3]; ORCiD logo [4];  [1];  [1]
  1. Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Chicago, Chicago, IL (United States)
  2. Univ. Space Research Assoc., Columbia, MD (United States); NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  3. NOAA Air Resources Lab., College Park, MD (United States); Univ. of Maryland, College Park, MD (United States)
  4. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); Johns Hopkins Univ. Applied Physics Lab., Laurel, MD (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USEPA
OSTI Identifier:
1411029
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
Atmospheric Chemistry and Physics (Online)
Additional Journal Information:
Journal Name: Atmospheric Chemistry and Physics (Online); Journal Volume: 17; Journal Issue: 18; Journal ID: ISSN 1680-7324
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Goldberg, Daniel L., Lamsal, Lok N., Loughner, Christopher P., Swartz, William H., Lu, Zifeng, and Streets, David G. A high-resolution and observationally constrained OMI NO2 satellite retrieval. United States: N. p., 2017. Web. doi:10.5194/acp-17-11403-2017.
Goldberg, Daniel L., Lamsal, Lok N., Loughner, Christopher P., Swartz, William H., Lu, Zifeng, & Streets, David G. A high-resolution and observationally constrained OMI NO2 satellite retrieval. United States. doi:10.5194/acp-17-11403-2017.
Goldberg, Daniel L., Lamsal, Lok N., Loughner, Christopher P., Swartz, William H., Lu, Zifeng, and Streets, David G. Tue . "A high-resolution and observationally constrained OMI NO2 satellite retrieval". United States. doi:10.5194/acp-17-11403-2017. https://www.osti.gov/servlets/purl/1411029.
@article{osti_1411029,
title = {A high-resolution and observationally constrained OMI NO2 satellite retrieval},
author = {Goldberg, Daniel L. and Lamsal, Lok N. and Loughner, Christopher P. and Swartz, William H. and Lu, Zifeng and Streets, David G.},
abstractNote = {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 NOx 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.},
doi = {10.5194/acp-17-11403-2017},
journal = {Atmospheric Chemistry and Physics (Online)},
number = 18,
volume = 17,
place = {United States},
year = {2017},
month = {9}
}

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Cited by: 5 works
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    Works referencing / citing this record:

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    Direct observation of two dimensional trace gas distributions with an airborne Imaging DOAS instrument
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    Ozone and NO x chemistry in the eastern US: evaluation of CMAQ/CB05 with satellite (OMI) data
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    Measured and modeled CO and NO y in DISCOVER-AQ: An evaluation of emissions and chemistry over the eastern US
    journal, October 2014


    Significant enhancements of nitrogen oxides, black carbon, and ozone in the North Atlantic lower free troposphere resulting from North American boreal wildfires: WILDFIRE IMPACTS ON BC, NO
    journal, December 2006

    • Val Martín, M.; Honrath, R. E.; Owen, R. C.
    • Journal of Geophysical Research: Atmospheres, Vol. 111, Issue D23
    • DOI: 10.1029/2006jd007530

    The version 3 OMI NO 2 standard product
    journal, January 2017

    • Krotkov, Nickolay A.; Lamsal, Lok N.; Celarier, Edward A.
    • Atmospheric Measurement Techniques, Vol. 10, Issue 9
    • DOI: 10.5194/amt-10-3133-2017

    Effects of daily meteorology on the interpretation of space-based remote sensing of NO 2
    journal, January 2016

    • Laughner, Joshua L.; Zare, Azimeh; Cohen, Ronald C.
    • Atmospheric Chemistry and Physics, Vol. 16, Issue 23
    • DOI: 10.5194/acp-16-15247-2016

    Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign
    journal, April 2016


    Development of a custom OMI NO 2 data product for evaluating biases in a regional chemistry transport model
    journal, January 2015

    • Kuhlmann, G.; Lam, Y. F.; Cheung, H. M.
    • Atmospheric Chemistry and Physics, Vol. 15, Issue 10
    • DOI: 10.5194/acp-15-5627-2015

    Estimates of lightning NO x production based on OMI NO 2 observations over the Gulf of Mexico : Lightning NO
    journal, July 2016

    • Pickering, Kenneth E.; Bucsela, Eric; Allen, Dale
    • Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 14
    • DOI: 10.1002/2015jd024179

    Why do models overestimate surface ozone in the Southeast United States?
    journal, January 2016

    • Travis, Katherine R.; Jacob, Daniel J.; Fisher, Jenny A.
    • Atmospheric Chemistry and Physics, Vol. 16, Issue 21
    • DOI: 10.5194/acp-16-13561-2016

    Synergistic use of OMI NO2 tropospheric columns and LOTOS–EUROS to evaluate the NOx emission trends across Europe
    journal, June 2014


    Tropospheric NO 2 column densities deduced from zenith-sky DOAS measurements in Shanghai, China, and their application to satellite validation
    journal, January 2009


    Structural uncertainty in air mass factor calculation for NO 2 and HCHO satellite retrievals
    journal, January 2017

    • Lorente, Alba; Folkert Boersma, K.; Yu, Huan
    • Atmospheric Measurement Techniques, Vol. 10, Issue 3
    • DOI: 10.5194/amt-10-759-2017

    A high spatial resolution retrieval of NO 2 column densities from OMI: method and evaluation
    journal, January 2011

    • Russell, A. R.; Perring, A. E.; Valin, L. C.
    • Atmospheric Chemistry and Physics, Vol. 11, Issue 16
    • DOI: 10.5194/acp-11-8543-2011

    Satellite-Based NO 2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression
    journal, March 2016

    • Young, Michael T.; Bechle, Matthew J.; Sampson, Paul D.
    • Environmental Science & Technology, Vol. 50, Issue 7
    • DOI: 10.1021/acs.est.5b05099

    OMI NO 2 column densities over North American urban cities: the effect of satellite footprint resolution
    journal, January 2016

    • Kim, Hyun Cheol; Lee, Pius; Judd, Laura
    • Geoscientific Model Development, Vol. 9, Issue 3
    • DOI: 10.5194/gmd-9-1111-2016

    Aura OMI observations of regional SO 2 and NO 2 pollution changes from 2005 to 2015
    journal, January 2016

    • Krotkov, Nickolay A.; McLinden, Chris A.; Li, Can
    • Atmospheric Chemistry and Physics, Vol. 16, Issue 7
    • DOI: 10.5194/acp-16-4605-2016

    Relationship between column-density and surface mixing ratio: Statistical analysis of O3 and NO2 data from the July 2011 Maryland DISCOVER-AQ mission
    journal, August 2014


    Ships going slow in reducing their NOx emissions: changes in 2005–2012 ship exhaust inferred from satellite measurements over Europe
    journal, July 2015


    Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2
    journal, January 2016

    • Rasool, Quazi Z.; Zhang, Rui; Lash, Benjamin
    • Geoscientific Model Development, Vol. 9, Issue 9
    • DOI: 10.5194/gmd-9-3177-2016

    Algorithm for NO/sub 2/ vertical column retrieval from the ozone monitoring instrument
    journal, May 2006

    • Bucsela, E. J.; Celarier, E. A.; Wenig, M. O.
    • IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, Issue 5
    • DOI: 10.1109/tgrs.2005.863715

    Global inventory of nitrogen oxide emissions constrained by space-based observations of NO 2 columns
    journal, January 2003


    Variability of O3 and NO2 profile shapes during DISCOVER-AQ: Implications for satellite observations and comparisons to model-simulated profiles
    journal, December 2016


    Interannual variability in soil nitric oxide emissions over the United States as viewed from space
    journal, January 2010

    • Hudman, R. C.; Russell, A. R.; Valin, L. C.
    • Atmospheric Chemistry and Physics, Vol. 10, Issue 20
    • DOI: 10.5194/acp-10-9943-2010

    Evaluation of OMI operational standard NO 2 column retrievals using in situ and surface-based NO 2 observations
    journal, January 2014

    • Lamsal, L. N.; Krotkov, N. A.; Celarier, E. A.
    • Atmospheric Chemistry and Physics, Vol. 14, Issue 21
    • DOI: 10.5194/acp-14-11587-2014

    Tropospheric emissions: Monitoring of pollution (TEMPO)
    journal, January 2017

    • Zoogman, P.; Liu, X.; Suleiman, R. M.
    • Journal of Quantitative Spectroscopy and Radiative Transfer, Vol. 186
    • DOI: 10.1016/j.jqsrt.2016.05.008

    Long-term changes of tropospheric NO 2 over megacities derived from multiple satellite instruments
    journal, January 2013

    • Hilboll, A.; Richter, A.; Burrows, J. P.
    • Atmospheric Chemistry and Physics, Vol. 13, Issue 8
    • DOI: 10.5194/acp-13-4145-2013

    Impact of Bay-Breeze Circulations on Surface Air Quality and Boundary Layer Export
    journal, July 2014

    • Loughner, Christopher P.; Tzortziou, Maria; Follette-Cook, Melanie
    • Journal of Applied Meteorology and Climatology, Vol. 53, Issue 7
    • DOI: 10.1175/jamc-d-13-0323.1

    Impacts of control strategies, the Great Recession and weekday variations on NO 2 columns above North American cities
    journal, August 2016


    Comparison of OMI NO 2 observations and their seasonal and weekly cycles with ground-based measurements in Helsinki
    journal, January 2016

    • Ialongo, Iolanda; Herman, Jay; Krotkov, Nick
    • Atmospheric Measurement Techniques, Vol. 9, Issue 10
    • DOI: 10.5194/amt-9-5203-2016

    Model study of the cross-tropopause transport of biomass burning pollution
    journal, January 2007

    • Duncan, B. N.; Strahan, S. E.; Yoshida, Y.
    • Atmospheric Chemistry and Physics, Vol. 7, Issue 14
    • DOI: 10.5194/acp-7-3713-2007

    An improved tropospheric NO 2 column retrieval algorithm for the Ozone Monitoring Instrument
    journal, January 2011

    • Boersma, K. F.; Eskes, H. J.; Dirksen, R. J.
    • Atmospheric Measurement Techniques, Vol. 4, Issue 9
    • DOI: 10.5194/amt-4-1905-2011

    Evaluation of nitrogen dioxide chemiluminescence monitors in a polluted urban environment
    journal, January 2007

    • Dunlea, E. J.; Herndon, S. C.; Nelson, D. D.
    • Atmospheric Chemistry and Physics, Vol. 7, Issue 10
    • DOI: 10.5194/acp-7-2691-2007

    Air mass factor formulation for spectroscopic measurements from satellites: Application to formaldehyde retrievals from the Global Ozone Monitoring Experiment
    journal, July 2001

    • Palmer, Paul I.; Jacob, Daniel J.; Chance, Kelly
    • Journal of Geophysical Research: Atmospheres, Vol. 106, Issue D13
    • DOI: 10.1029/2000jd900772

    National Satellite-Based Land-Use Regression: NO 2 in the United States
    journal, May 2011

    • Novotny, Eric V.; Bechle, Matthew J.; Millet, Dylan B.
    • Environmental Science & Technology, Vol. 45, Issue 10
    • DOI: 10.1021/es103578x

    Estimates of power plant NOx emissions and lifetimes from OMI NO2 satellite retrievals
    journal, September 2015


    Worldwide biogenic soil NO x emissions inferred from OMI NO 2 observations
    journal, January 2014

    • Vinken, G. C. M.; Boersma, K. F.; Maasakkers, J. D.
    • Atmospheric Chemistry and Physics, Vol. 14, Issue 18
    • DOI: 10.5194/acp-14-10363-2014

    Near-real time retrieval of tropospheric NO<sub>2</sub> from OMI
    journal, January 2007

    • Boersma, K. F.; Eskes, H. J.; Veefkind, J. P.
    • Atmospheric Chemistry and Physics, Vol. 7, Issue 8
    • DOI: 10.5194/acp-7-2103-2007

    Constraints on ship NO x emissions in Europe using GEOS-Chem and OMI satellite NO 2 observations
    journal, January 2014

    • Vinken, G. C. M.; Boersma, K. F.; van Donkelaar, A.
    • Atmospheric Chemistry and Physics, Vol. 14, Issue 3
    • DOI: 10.5194/acp-14-1353-2014

    Western European Land Use Regression Incorporating Satellite- and Ground-Based Measurements of NO 2 and PM 10
    journal, November 2013

    • Vienneau, Danielle; de Hoogh, Kees; Bechle, Matthew J.
    • Environmental Science & Technology, Vol. 47, Issue 23
    • DOI: 10.1021/es403089q

    Assessment of NO2 satellite observations for en-route aircraft emissions detection
    journal, December 2011

    • Pujadas, Manuel; Núñez, Lourdes; Lubrani, Peter
    • Remote Sensing of Environment, Vol. 115, Issue 12
    • DOI: 10.1016/j.rse.2011.07.013

    Satellite NO2 retrievals suggest China has exceeded its NOx reduction goals from the twelfth Five-Year Plan
    journal, October 2016

    • de Foy, Benjamin; Lu, Zifeng; Streets, David G.
    • Scientific Reports, Vol. 6, Issue 1
    • DOI: 10.1038/srep35912

    Higher surface ozone concentrations over the Chesapeake Bay than over the adjacent land: Observations and models from the DISCOVER-AQ and CBODAQ campaigns
    journal, February 2014


    Daily Ambient NO 2 Concentration Predictions Using Satellite Ozone Monitoring Instrument NO 2 Data and Land Use Regression
    journal, February 2014

    • Lee, Hyung Joo; Koutrakis, Petros
    • Environmental Science & Technology
    • DOI: 10.1021/es404845f

    Emissions estimation from satellite retrievals: A review of current capability
    journal, October 2013