Mesoscale numerical investigations of air traffic emissions over the North Atlantic during SONEX flight 8: A case study
| Autor: | Richard D. Knabb, G. W. Sachse, Anne M. Thompson, Alfons Schmitt, George Bieberbach, John R. Hannan, Gerald L. Gregory, Robert W. Talbot, Henry E. Fuelberg, Yutaka Kondo |
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| Rok vydání: | 2000 |
| Předmět: |
Atmospheric Science
Flight level business.product_category Meteorology Mesoscale meteorology Air pollution Soil Science Aquatic Science Oceanography Atmospheric sciences medicine.disease_cause Airplane Troposphere Geochemistry and Petrology Earth and Planetary Sciences (miscellaneous) medicine Stratosphere Earth-Surface Processes Water Science and Technology Ecology Paleontology Forestry Air traffic control Geophysics Space and Planetary Science Trajectory Environmental science business |
| Zdroj: | Journal of Geophysical Research: Atmospheres. 105:3821-3832 |
| ISSN: | 0148-0227 |
| DOI: | 10.1029/1999jd901036 |
| Popis: | Chemical data from flight 8 of NASA's Subsonic Assessment (SASS) Ozone and Nitrogen Oxide Experiment (SONEX) exhibited signatures consistent with aircraft emissions, stratospheric air, and surface-based pollution. These signatures are examined in detail, focussing on the broad aircraft emission signatures that are several hundred kilometers in length. A mesoscale meteorological model provides high resolution wind data that are used to calculate backward trajectories arriving at locations along the flight track. These trajectories are compared to aircraft locations in the North Atlantic Flight Corridor over a 27-33 hour period. Time series of flight level NO and the number of trajectory/aircraft encounters within the NAFC show excellent agreement. Trajectories arriving within the stratospheric and surface-based pollution regions are found to experience very few aircraft encounters. Conversely, there are many trajectory/aircraft encounters within the two chemical signatures corresponding to aircraft emissions. Even many detailed fluctuations of NO within the two aircraft signature regions correspond to similar fluctuations in aircraft encountered during the previous 27-33 hours. Results indicate that high resolution meteorological modeling, when coupled with detailed aircraft location data, is useful for understanding chemical signatures from aircraft emissions at scales of several hundred kilometers. |
| Databáze: | OpenAIRE |
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