2004
DOI: 10.1175/1520-0469(2004)061<1132:acsotd>2.0.co;2
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A Case Study of the Development of Contrail Clusters over the Great Lakes

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Cited by 51 publications
(75 citation statements)
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References 34 publications
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“…Our result show larger widths not only because the pixel size is larger (SEVIRI vs. MODIS), but also because more contrail cirrus clouds are considered. Assuming an initial width of 60 m and a spreading rate of 50 m min −1 , our average width is reached slightly after 2.5 h. The spreading rate observed by Duda et al (2004) in the case study over the Great Lakes, 2.7 km h −1 , applied to our case would mean that the 7.8 km average width is reached after 2.8 h. Please note that the findings described in this paper apply to this subset of contrails.…”
Section: Length and Widthmentioning
confidence: 74%
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“…Our result show larger widths not only because the pixel size is larger (SEVIRI vs. MODIS), but also because more contrail cirrus clouds are considered. Assuming an initial width of 60 m and a spreading rate of 50 m min −1 , our average width is reached slightly after 2.5 h. The spreading rate observed by Duda et al (2004) in the case study over the Great Lakes, 2.7 km h −1 , applied to our case would mean that the 7.8 km average width is reached after 2.8 h. Please note that the findings described in this paper apply to this subset of contrails.…”
Section: Length and Widthmentioning
confidence: 74%
“…The vertical resolution provided by COCS is insufficient to resolve fall speeds. The top altitude retrieval of the COCS algorithm presents a standard deviation of 750 m whereas the observations of contrail fall rates lie in the 0.045 m s −1 range (Duda et al, 2004).…”
Section: Optical Thickness and Cloud Heightmentioning
confidence: 95%
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“…Also the later values are consistent with observations (Pisso et al, 2009). The thickness and width values, D and B, are of the right order of magnitude compared to ground-based lidar and satellite observations (Detwiler and Pratt, 1984;Freudenthaler et al, 1995;Duda et al, 2004;Atlas et al, 2006;Immler et al, 2008;Iwabuchi et al, 2012). More detailed comparisons have still to be made.…”
Section: The Turbulence Modelmentioning
confidence: 88%
“…Weather and flight track data have been used to identify contrail forming flight tracks and follow their advection (Duda et al, 2004;Atlas et al, 2006;Duda et al, 2009). From comparisons with satellite data at computed contrail-positions, optical and sedimentation properties were successfully deduced (Duda et al, 2004). Contrail persistence analysis was compared with satellite-derived contrail cover showing high sensitivity to ice supersaturation and vertical wind input (Duda et al, 2009).…”
Section: U Schumann: Contrail Cirrus Modelmentioning
confidence: 99%