Abstract
Jet condensation trails have been classified in AVHRR images from a couple of month. It was tried to estimate their impact upon the radiation budget from the observed radiances. This has been performed by direct comparison of contrail image points to neighboring image points, assuming a slowly varying background. The classification method, basing on an artificial neural network for pattern recognition is explained. The details of the estimation of the net impact of contrails upon the radiation budget are shown by one example. (author) 5 refs.
Meinert, D
[1]
- GKSS-Forschungszentrum Geesthacht GmbH (Germany). Inst. fuer Atmosphaerenphysik
Citation Formats
Meinert, D.
Observational evidence for the impact of jet condensation trails upon the earths radiation budget.
France: N. p.,
1997.
Web.
Meinert, D.
Observational evidence for the impact of jet condensation trails upon the earths radiation budget.
France.
Meinert, D.
1997.
"Observational evidence for the impact of jet condensation trails upon the earths radiation budget."
France.
@misc{etde_623640,
title = {Observational evidence for the impact of jet condensation trails upon the earths radiation budget}
author = {Meinert, D}
abstractNote = {Jet condensation trails have been classified in AVHRR images from a couple of month. It was tried to estimate their impact upon the radiation budget from the observed radiances. This has been performed by direct comparison of contrail image points to neighboring image points, assuming a slowly varying background. The classification method, basing on an artificial neural network for pattern recognition is explained. The details of the estimation of the net impact of contrails upon the radiation budget are shown by one example. (author) 5 refs.}
place = {France}
year = {1997}
month = {Dec}
}
title = {Observational evidence for the impact of jet condensation trails upon the earths radiation budget}
author = {Meinert, D}
abstractNote = {Jet condensation trails have been classified in AVHRR images from a couple of month. It was tried to estimate their impact upon the radiation budget from the observed radiances. This has been performed by direct comparison of contrail image points to neighboring image points, assuming a slowly varying background. The classification method, basing on an artificial neural network for pattern recognition is explained. The details of the estimation of the net impact of contrails upon the radiation budget are shown by one example. (author) 5 refs.}
place = {France}
year = {1997}
month = {Dec}
}