Global Ozone–CO Correlations from OMI and AIRS: Constraints on Tropospheric Ozone Sources

DSpace/Manakin Repository

Global Ozone–CO Correlations from OMI and AIRS: Constraints on Tropospheric Ozone Sources

Citable link to this page

 

 
Title: Global Ozone–CO Correlations from OMI and AIRS: Constraints on Tropospheric Ozone Sources
Author: Kim, Philip; Jacob, Daniel James; Liu, Xueliang; Warner, J. X.; Yang, K.; Chance, Kelly V.; Thouret, V.; Nedelec, P.

Note: Order does not necessarily reflect citation order of authors.

Citation: Kim, Philip S., Daniel James Jacob, Xueliang Liu, J. X. Warner, K. Yang, Kelly V. Chance, V. Thouret, and P. Nedelec. 2013. “Global Ozone–CO Correlations from OMI and AIRS: Constraints on Tropospheric Ozone Sources.” Atmospheric Chemistry and Physics 13:9321–9335.
Full Text & Related Files:
Abstract: We present a global data set of free tropospheric ozone–CO correlations with 2° × 2.5° spatial resolution from the Ozone Monitoring Instrument (OMI) and Atmospheric Infrared Sounder (AIRS) satellite instruments for each season of 2008. OMI and AIRS have near-daily global coverage of ozone and CO respectively and observe coincident scenes with similar vertical sensitivities. The resulting ozone–CO correlations are highly statistically significant (positive or negative) in most regions of the world, and are less noisy than previous satellite-based studies that used sparser data. Comparison with ozone–CO correlations and regression slopes \((dO_3/dCO)\) from MOZAIC (Measurements of OZone, water vapour, carbon monoxide and nitrogen oxides by in-service AIrbus airCraft) aircraft profiles shows good general agreement. We interpret the observed ozone–CO correlations with the GEOS (Goddard Earth Observing System)-Chem chemical transport model to infer constraints on ozone sources. Driving GEOS-Chem with different meteorological fields generally shows consistent ozone–CO correlation patterns, except in some tropical regions where the correlations are strongly sensitive to model transport error associated with deep convection. GEOS-Chem reproduces the general structure of the observed ozone–CO correlations and regression slopes, although there are some large regional discrepancies. We examine the model sensitivity of \(dO_3/dCO\) to different ozone sources (combustion, biosphere, stratosphere, and lightning \(NO_x\)) by correlating the ozone change from that source to CO from the standard simulation. The model reproduces the observed positive \(dO_3/dCO\) in the extratropical Northern Hemisphere in spring–summer, driven by combustion sources. Stratospheric influence there is also associated with a positive \(dO_3/dCO\) because of the interweaving of stratospheric downwelling with continental outflow. The well-known ozone maximum over the tropical South Atlantic is associated with negative \(dO_3/dCO\) in the observations; this feature is reproduced in GEOS-Chem and supports a dominant contribution from lightning to the ozone maximum. A major model discrepancy is found over the northeastern Pacific in summer–fall where \(dO_3/dCO\) is positive in the observations but negative in the model, for all ozone sources. We suggest that this reflects a model overestimate of lightning at northern midlatitudes combined with an underestimate of the East Asian CO source.
Published Version: doi:10.5194/acp-13-9321-2013
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:13849013
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters