An intercomparison and evaluation of aircraft-derived and simulated CO from seven chemical transport models during the TRACE-P experiment

Four global scale and three regional scale chemical transport models are intercompared and evaluated during NASA's Transport and Chemical Evolution over the Pacific (TRACE‐P) experiment. Model simulated and measured CO are statistically analyzed along aircraft flight tracks. Results for the com...

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Veröffentlicht in:Journal of Geophysical Research. D. Atmospheres 2003-11, Vol.108 (D21), p.n/a
Hauptverfasser: Kiley, Christopher M., Fuelberg, Henry E., Palmer, Paul I., Allen, Dale J., Carmichael, Gregory R., Jacob, Daniel J., Mari, Celine, Pierce, R. Bradley, Pickering, Kenneth E., Tang, Youhua, Wild, Oliver, Fairlie, T. Duncan, Logan, Jennifer A., Sachse, Glen W., Shaack, Todd K., Streets, David G.
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Sprache:eng
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Zusammenfassung:Four global scale and three regional scale chemical transport models are intercompared and evaluated during NASA's Transport and Chemical Evolution over the Pacific (TRACE‐P) experiment. Model simulated and measured CO are statistically analyzed along aircraft flight tracks. Results for the combination of 11 flights show an overall negative bias in simulated CO. Biases are most pronounced during large CO events. Statistical agreements vary greatly among the individual flights. Those flights with the greatest range of CO values tend to be the worst simulated. However, for each given flight, the models generally provide similar relative results. The models exhibit difficulties simulating intense CO plumes. CO error is found to be greatest in the lower troposphere. Convective mass flux is shown to be very important, particularly near emissions source regions. Occasionally meteorological lift associated with excessive model‐calculated mass fluxes leads to an overestimation of middle and upper tropospheric mixing ratios. Planetary Boundary Layer (PBL) depth is found to play an important role in simulating intense CO plumes. PBL depth is shown to cap plumes, confining heavy pollution to the very lowest levels.
ISSN:0148-0227
2156-2202
DOI:10.1029/2002JD003089