edu.ucar.opensky::articles:21975 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:54:07.068621 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7p84fs9 Estimator of surface ozone using formaldehyde and carbon monoxide concentrations over the Eastern United States in summer 2018-07-20T00:00:00Z publication https://n2t.org/ark:/85065/d7p84fs9 https://doi.org/10.1029/2018JD028452 Cheng, Y. author Wang, Y. author Zhang, Y. author Crawford, J. H. author Diskin, G. S. author Weinheimer, Andrew author Fried, A. author UCAR/NCAR - Library publisher 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. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2018 American Geophysical Union. None eng geoscientificInformation