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Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion eventsThe National Air Quality Forecast Capability (NAQFC) operated in U.S.’s National Oceanic and Atmospheric Administration (NOAA) provides the operational forecast guidance for ozone and fine particulate matters with aerodynamic diameters less than 2.5μm (PM2.5) over the contiguous 48 U.S. states (CONUS) using the Community Multi-scale Air Quality (CMAQ) model. The existing NAQFC uses climatological chemical lateral boundary conditions ( CLBCs), which cannot capture pollutant intrusion events originating outside of the model domain. In this study, we developed a model framework to use dynamic CLBCs from the Goddard Earth Observing System Model, version 5 (GEOS) to drive NAQFC. A mapping of the GEOS chemical species to the CMAQ’s Carbon Bond 5 (CB05)-Aero6 species was developed. The utilization of the GEOS dynamic CLBCs in NAQFC showed the best overall performance in simulating the surface observations during the Saharan dust intrusion and Canadian wildfire events in summer 2015.The simulated PM2.5 was improved from 0.18 to 0.37 and the mean bias was reduced from -6.74 μg/m3 to -2.96 μg/m3 over CONUS. Although the effect of CLBCs on the PM2.5 correlation was mainly near the inflow boundary, its impact on the background concentrations reached further inside the domain. The CLBCs could affect background ozone concentrations through the inflows of ozone itself and its precursors, such as CO. It was further found that the aerosol optical thickness (AOT) from satellite retrievals correlated well with the column CO and elemental carbon from GEOS. The satellite-derived AOT CLBCs generally improved the model performance for the wildfire intrusion events during a summer 2018 case study, and demonstrated how satellite observations of atmospheric composition could be used as an alternative method to capture the air quality effects of intrusions when the global model CLBCs, such as GEOS CLBCs, are not available.
Document ID
20220004283
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Youhua Tang
(NOAA Air Resources Laboratory College Park, MD, USA)
Huisheng Bian
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Zhining Tao
(Universities Space Research Association Columbia, Maryland, United States)
Luke D Oman
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Daniel Tong
(George Mason University Fairfax, Virginia, United States)
Pius Lee
(NOAA Air Resources Laboratory College Park, MD, USA)
Patrick C Campbell
(NOAA Air Resources Laboratory College Park, MD, USA)
Barry Baker
(NOAA Air Resources Laboratory College Park, MD, USA)
Cheng-hsuan Lu
(University at Albany, State University of New York Albany, New York, United States)
Li Pan
(NOAA Environmental Modeling Center College Park, MD, USA)
Jun Wang
(NOAA Environmental Modeling Center)
Jeffrey McQueen
(NOAA Environmental Modeling Center)
Ivanka Stajner
(NOAA Environmental Modeling Center)
Date Acquired
March 11, 2022
Publication Date
February 19, 2021
Publication Information
Publication: Atmospheric Chemistry and Physics
Publisher: European Geosciences Union
Volume: 21
Issue: 4
Issue Publication Date: February 1, 2021
ISSN: 1680-7316
e-ISSN: 1680-7324
Subject Category
Geosciences (General)
Environment Pollution
Funding Number(s)
WBS: 281945.02.80.01.56
CONTRACT_GRANT: NNX15AT34A
CONTRACT_GRANT: 80NSSC22M0001
CONTRACT_GRANT: 80NSSC21D0002
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Community Multi-scale Air Quality (CMAQ) model
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