Journal article
Improving regional ozone modeling through systematic evaluation of errors using the aircraft observations during the International Consortium for Atmospheric Research on Transport and Transformation
Journal of Geophysical Research: Atmospheres, Vol.112(D12), pp.D12S19-n/a
06/27/2007
DOI: 10.1029/2006JD007762
Abstract
During the operational phase of the ICARTT field experiment in 2004, the regional air quality model STEM showed a strong positive surface bias and a negative upper troposphere bias (compared to observed DC‐8 and WP‐3 observations) with respect to ozone. After updating emissions from NEI 1999 to NEI 2001 (with a 2004 large point sources inventory update), and modifying boundary conditions, low‐level model bias decreases from 11.21 to 1.45 ppbv for the NASA DC‐8 observations and from 8.26 to −0.34 for the NOAA WP‐3. Improvements in boundary conditions provided by global models decrease the upper troposphere negative ozone bias, while accounting for biomass burning emissions improved model performance for CO. The covariances of ozone bias were highly correlated to NOz, NOy, and HNO3 biases. Interpolation of bias information through kriging showed that decreasing emissions in SE United States would reduce regional ozone model bias and improve model correlation coefficients. The spatial distribution of forecast errors was analyzed using kriging, which identified distinct features, which when compared to errors in postanalysis simulations, helped document improvements. Changes in dry deposition to crops were shown to reduce substantially high bias in the forecasts in the Midwest, while updated emissions were shown to account for decreases in bias in the eastern United States. Observed and modeled ozone production efficiencies for the DC‐8 were calculated and shown to be very similar (7.8) suggesting that recurring ozone bias is due to overestimation of NOx emissions. Sensitivity studies showed that ozone formation in the United States is most sensitive to NOx emissions, followed by VOCs and CO. PAN as a reservoir of NOx can contribute to a significant amount of surface ozone through thermal decomposition.
Details
- Title: Subtitle
- Improving regional ozone modeling through systematic evaluation of errors using the aircraft observations during the International Consortium for Atmospheric Research on Transport and Transformation
- Creators
- Marcelo Mena‐Carrasco - University of IowaYouhua Tang - University of IowaGregory R Carmichael - University of IowaTianfeng Chai - University of IowaNarisara Thongbongchoo - King Mongkut's Institute of Technology LadkrabangJ. Elliott Campbell - University of IowaSarika Kulkarni - University of IowaLarry Horowitz - NOAAJeffrey Vukovich - University of North CarolinaMelody Avery - NASA Langley Research CenterWilliam Brune - Pennsylvania State UniversityJack E Dibb - University of New HampshireLouisa Emmons - National Center for Atmospheric ResearchFrank Flocke - National Center for Atmospheric ResearchGlen W Sachse - NASA Langley Research CenterDavid Tan - Georgia Institute of TechnologyRick Shetter - National Center for Atmospheric ResearchRobert W Talbot - University of New HampshireDavid G Streets - Argonne National LaboratoryGregory Frost - NOAADonald Blake - University of California
- Resource Type
- Journal article
- Publication Details
- Journal of Geophysical Research: Atmospheres, Vol.112(D12), pp.D12S19-n/a
- DOI
- 10.1029/2006JD007762
- ISSN
- 0148-0227
- eISSN
- 2156-2202
- Number of pages
- 19
- Language
- English
- Date published
- 06/27/2007
- Academic Unit
- Civil and Environmental Engineering; Center for Global & Regional Environmental Research; Nursing; Chemical and Biochemical Engineering
- Record Identifier
- 9984004088002771
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