Atmos. Chem. Phys. Discuss., 8, 18385-18407, 2008
www.atmos-chem-phys-discuss.net/8/18385/2008/
doi:10.5194/acpd-8-18385-2008
© Author(s) 2008. This work is distributed
under the Creative Commons Attribution 3.0 License.
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This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Relating observations of contrail persistence to numerical weather analysis output
D. P. Duda1, R. Palikonda2, and P. Minnis3
1National Institute of Aerospace, Hampton, VA, USA
2Science Systems and Applications, Inc., Hampton, VA, USA
3Science Directorate, NASA Langley Research Center, Hampton, VA, USA

Abstract. The potential for using high-resolution meteorological data from two operational numerical weather analyses (NWA) to diagnose and predict persistent contrail formation is evaluated using two independent contrail observation databases. Contrail occurrence statistics derived from surface and satellite observations between April 2004 and June 2005 are matched to the humidity, vertical velocity, wind shear and atmospheric stability derived from analyses from the Rapid Update Cycle (RUC) and the Advanced Regional Prediction System (ARPS) models. The relationships between contrail occurrence and the NWA-derived statistics are analyzed to determine under which atmospheric conditions persistent contrail formation is favored within NWAs. Humidity is the most important factor determining whether contrails are short-lived or persistent, and persistent contrails are more likely to appear when vertical velocities are positive, and more likely to spread when the atmosphere is less stable. Although artificial upper limits on upper tropospheric humidity within the NWAs prevent a direct quantitative agreement of model data with contrail formation theory, logistic regression or similar statistical methods may improve the prediction of contrail occurrence.

Citation: Duda, D. P., Palikonda, R., and Minnis, P.: Relating observations of contrail persistence to numerical weather analysis output, Atmos. Chem. Phys. Discuss., 8, 18385-18407, doi:10.5194/acpd-8-18385-2008, 2008.
 
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