2015
DOI: 10.5194/acp-15-8739-2015
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Contrail life cycle and properties from 1 year of MSG/SEVIRI rapid-scan images

Abstract: Abstract. The automatic contrail tracking algorithm (ACTA) -developed to automatically follow contrails as they age, drift and spread -enables the study of a large number of contrails and the evolution of contrail properties with time. In this paper we present a year's worth of tracked contrails,

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Cited by 63 publications
(76 citation statements)
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“…4; the pdf is generated from a 3 % subsample of 1-year simulation data and, hence, misses the few contrails with the upper limit age of 36 h). The lifetimes are within the range of results derived with ACTA from Meteosat contrail observations by Vázquez-Navarro et al (2015).…”
Section: Contrail Propertiessupporting
confidence: 56%
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“…4; the pdf is generated from a 3 % subsample of 1-year simulation data and, hence, misses the few contrails with the upper limit age of 36 h). The lifetimes are within the range of results derived with ACTA from Meteosat contrail observations by Vázquez-Navarro et al (2015).…”
Section: Contrail Propertiessupporting
confidence: 56%
“…As in previous CoCiP studies, the magnitude of the computed SW / LW ratio is quite large (0.56). This SW / LW ratio varies between 0.2 and 0.8 in the literature (Haywood et al, 2009;Myhre et al, 2009;Yi et al, 2012;Minnis et al, 2013;Schumann and Graf, 2013;Vázquez-Navarro et al, 2015). The ratio may become even larger for small ice particles and higher contrail temperatures (Meerkötter et al, 1999;Zhang et al, 1999).…”
Section: Some Global Contrail Propertiesmentioning
confidence: 99%
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“…The instrumentation of HALO consisted of a suite of novel cloud instruments [28], a water vapor/cloud lidar [30] and an advanced aerosol, trace gas and radiation instrumentation. The aircraft observations were extended with observations from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on Meteosat Second Generation (MSG) satellite [31,32] and by numerical simulations with the Contrail and Cirrus Prediction Model (CoCiP) [15,33]. The campaign location in central Europe (Munich, Germany, Figure 2) was chosen, because it guarantees fast access to regions with high air traffic density.…”
Section: Aircraft Experiments Ml-cirrusmentioning
confidence: 99%