NO₂columns in the western United States observed from space and simulated by a regional chemistry model and their implications for NO_xemissions

Abstract

[1] There are many isolated sources of NO x emissions across the western United States, including electrical power generation plants and urban areas. In this manuscript, two satellite instruments measuring NO 2 vertical columns over these sources and an atmospheric chemical-transport model are used to evaluate bottom-up NO x emission inventories, model assumptions, and satellite retrieval algorithms. We carried out simulations with the Weather Research and Forecasting-Chemistry (WRF-Chem) model for the western U.S. domain during the summer of 2005 using measured power plant NO x emissions. Model NO 2 vertical columns are compared with a retrieval of the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) satellite instrument data by the University of Bremen and retrievals of the Ozone Monitoring Instrument (OMI) data by the U.S. National Aeronautics and Space Administration (NASA) and a modified version of the NASA OMI retrieval produced by the University of Bremen. For areas dominated by power plant NO x emissions, the model NO 2 columns serve as a comparison standard for satellite retrievals because emissions are continuously monitored at all large U.S. power plants. An extensive series of sensitivity tests of the assumptions in both the satellite retrievals and the model are carried out over the Four Corners and San Juan power plants, two adjacent facilities in the northwest corner of New Mexico that together represent the largest NO x point source in the United States. Overall, the SCIAMACHY and OMI NO 2 columns over western U.S. power plants agree well with model NO 2 columns, with differences between the two being within the variability of the model and satellite. In contrast to regions dominated by power plant emissions, model NO 2 columns over large urban areas along the U.S. west coast are approximately twice as large as satellite NO 2 columns from SCIAMACHY and OMI retrievals. The discrepancies in urban areas are beyond the sensitivity ranges in the model simulations and satellite observations, implying overestimates of these cities' bottom-up NO x emissions, which are dominated by motor vehicles. Taking the uncertainties in the satellite retrievals into account, our study demonstrates that the tropospheric columns of NO 2 retrieved from space-based observations of backscattered solar electromagnetic radiation can be used to evaluate and improve bottom-up emission inventories.

Understanding high wintertime ozone pollution events in an oil- and natural gas-producing region of the western US

“…The mechanism contains a wide range of inorganic and organic species and their intermediates, which are advected and vertically mixed at every time step during model integration, and includes 23 photolysis and 221 chemical reactions. It has been successfully used in previous air quality model studies, e.g., Kim et al (2009), Kim et al (2011), andAhmadov et al (2012). The advantage of the WRF-Chem model is that the same 3-D model grid, time step and advection scheme are used for both meteorological and chemical variables.…”

“…The RACM_ESRL gas chemistry scheme is based on the RACM mechanism (Stockwell et al, 1997), which is designed to be suitable for modeling full tropospheric chemistry in remote and polluted re-gions. The RACM_ESRL mechanism contains additional chemical reactions, species and updated rate coefficients as discussed within Kim et al (2009). The mechanism contains a wide range of inorganic and organic species and their intermediates, which are advected and vertically mixed at every time step during model integration, and includes 23 photolysis and 221 chemical reactions.…”

Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer

“…Several studies have used satellite NO 2 column observations to constrain nitrogen oxide emission inventories through inverse or forward modelling (Martin et al, 2004;Kim et al, 2009;Lamsal et al, 2011;Wang et al, 2012). These studies exploited the relatively short lifetime of tropospheric nitrogen oxides, which ranges from several hours to a few days.…”

Can a global model reproduce observed trends in summertime surface ozone levels?

“…Part of the underestimate may originate from local pollution changes that are not captured in the model. There are some indications that NO x emissions have increased in urban areas of the western US in the 1990s (Parrish, 2006) before decreasing in the 2000s (Kim et al, 2009). However, emission trends in the 1990s are highly uncertain and vary considerably depending on the methods used to make those estimates (Parrish, 2006).…”