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:

Goldberg, Daniel L. ^[1]; Lamsal, Lok N. ^[2]; Loughner, Christopher P. ^[3]; Swartz, William H.  ^[4];

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

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+ Show Author Affiliations

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:

2017-09-26

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