Contrail observations over Southern and Eastern Asia in NOAA/AVHRR data and comparisons to contrail simulations in a GCM
Authors:
R. Meyer a;
R. Buell b;
C. Leiter c;
H. Mannstein b;
S. Pechtl bd;
T. Oki e;
P. Wendling a
| Affiliations: | a SunTechnics GmbH, D-20537 Hamburg, Germany |
b DLR - Oberpfaffenhofen, Institut f r Physik der Atmosph re, D-82234 Wessling, Germany |
|
c Science and Computing AG, M nchen, Germany |
|
| d now at Institute for Environmental Physics, University of Heidelberg, D-69120 Heidelberg, Germany | |
| e Institute of Industrial Science, University of Tokyo, Tokyo 153-8505, Japan |
DOI:
10.1080/01431160600641707
Publication Frequency:
24 issues per year
Published in:
International Journal of Remote Sensing,
Volume
28,
Issue
9
May
2007
, pages 2049
- 2069
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Abstract
For the first time the contrail cover for a region covering Thailand and surrounding regions as well as for the region of Japan and its surroundings are determined by remote sensing observations. Locally received NOAA/AVHRR satellite data are analysed by a fully automated contrail detection algorithm. For both regions approx. 400 NOAA-14 satellite scenes from four months of the year 1998 were analysed. Both regions show sufficient air traffic to produce an observable amount of contrails. Thus we are able to measure for the first time contrail frequencies in the tropics and compare it to a nearby mid latitudinal region. The annual average of the daily mean contrail cloud coverage is 0.13% for the Thailand region and about 0.25% for the Japan region. For both regions the contrail cover is largest during spring. The daily cycle shows surprisingly high contrail coverage during night in spite of lower air traffic densities during night time. The satellite observed contrail cover is compared with simulations of contrails by use of the general circulation model ECHAM4 related to air traffic emissions of 1992. While the derived patterns of the regional contrail distributions agree well, the contrail coverage derived from satellite data is larger than the simulated coverage. This discrepancy appears to be mainly due to an increase in air traffic in the time period between the model study and the observations.
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