Estimator of Surface Ozone Using Formaldehyde and Carbon Monoxide Concentrations Over the Eastern United States in Summer

Abstract

Strong correlations of O3‐CH2O, O3‐CO and CO‐CH2O were observed during the Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER‐AQ) aircraft experiment in July 2011 over the Washington‐Baltimore area. The linear regression slopes of observed O3‐CH2O, O3‐CO, and CO‐CH2O do not vary significantly with time (11 a.m. to 4 p.m.) or altitude in the boundary layer. These observed relationships are simulated well by a regional chemical transport model. Using tagged‐tracer simulations, we find that biogenic isoprene oxidation makes the largest contribution to the regression slope of O3‐CH2O across much of the eastern United States, providing a good indicator for O3 enhanced by biogenic isoprene oxidation. In contrast, the regression slope of O3‐CO is controlled by both anthropogenic and biogenic emissions. Therefore, we use the CO‐CH2O relationship to separate biogenic from anthropogenic contributions to CO. By combining these regressions, we can track the contributions to surface O3 by anthropogenic and biogenic factors and build a fast‐response ozone estimator using near‐surface CH2O and CO concentrations as inputs. We examine the quality of O3 estimator by increasing or decreasing anthropogenic emissions by up to 50%. The estimated O3 distribution is in reasonably good agreement with the full‐model simulations (R2 > 0.77 in the range of −30% to +50% of anthropogenic emissions). The analysis provides the basis for using high‐quality geostationary satellites with UV, thermal infrared, or near‐infrared instruments for observing CH2O and CO to improve surface O3 distribution monitoring. The estimation model can also be applied to derive observation‐derived regional metrics to evaluate and improve full‐fledged 3‐D air quality models.

Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ

“…The CO anomalies are largest in phase 3, with an enhancement of almost 100 ppb at 850 hPa. This transport phase, defined and described in Peterson et al (2019), was characterized by high levels of ozone (> 60 ppbv) and PM 25 (> 50 µg m 3 ) because of efficient transport of low-level pollution (Huang et al, 2018;Miyazaki et al, 2019a;Choi et al, 2019). The model reasonably reproduced the variability of the different phases, albeit with insufficient magnitude.…”

Dependence of Summertime Surface Ozone on NOx and VOC Emissions Over the United States: Peak Time and Value

“…REAM has been applied in many tropospheric chemistry and transport studies and emission estimations over East Asia, North America, and polar regions (Alkuwari et al, ; Cheng et al, , ; Choi, Wang, Yang, et al, ; Choi, Wang, Zeng, et al, ; Gu et al, , ; Koo et al, ; Liu et al, ; Liu, Wang, Vrekoussis, et al, ; Wang et al, ; Yang et al, ; R. Zhang, Wang, et al, ; R. Zhang et al, ; Y. Zhang & Wang, ; Zhao & Wang, ; Zhao et al, , ). The model has a horizontal resolution of 36 km × 36 km with 30 vertical layers in the troposphere.…”

Inferring the anthropogenic NO<sub><i>x</i></sub> emission trend over the United States during 2003–2017 from satellite observations: Was there a flattening of the emission tend after the Great Recession?

“…The REAM model has been applied and evaluated in many research applications including ozone simulation and forecast, emission inversion and evaluations, and mechanical studies of chemical and physical processes (Alkuwari et al, 2013;Cheng et al, 2017;Cheng et al, 2018;Choi et al, 2008a;Choi et al, 2008b;Gu et al, 2013;Gu et al, 2014;Koo et al, 2012;Liu et al, 2012;Liu et al, 2014;Wang et al, 2007;Yang et al, 2011;Zhang et al, 2017;Zhang et al, 2018;Zhang and Wang, 2016;Zhao and Wang, 2009;Zhao et al, 2009a;Zhao et al, 2010).…”