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        Cirrus clouds

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        amsmonographs_d_16_0010_2E1.pdf (PDF, 1Mb)
        Author
        Heymsfield, Andrew J.
        Kraemer, Martina
        Brown, Philip
        Cziczo, Dan
        Franklin, Charmaine
        Lawson, Paul
        Lohmann, Ulrike
        Luebke, Anna
        McFarquhar, Greg
        Ulanowski, Zbigniew
        Van Tricht, Kristof
        Attention
        2299/18008
        Abstract
        The goal of this article is to synthesize information about what is now known about one of the three main types of clouds, cirrus, and to identify areas where more knowledge is needed. Cirrus clouds, composed of ice particles, form primarily in the upper troposphere, where temperatures are generally below -30°C. Satellite observations show that the maximum-occurrence frequency of cirrus is near the tropics, with a large latitudinal movement seasonally. In-situ measurements obtained over a wide range of cloud types, formation mechanisms, temperatures, and geographical locations indicate that the ice water content and particle size generally decrease with decreasing temperature, whereas the ice particle concentration is nearly constant or increase slightly with decreasing temperature. High ice concentrations, sometimes observed in strong updrafts , results from homogeneous nucleation. The satellite-based and in-situ measurements indicate that cirrus ice crystals typically depart from the simple, idealized geometry for smooth hexagonal shapes, indicating complexity and/or surface roughness. Their shapes significantly impact cirrus radiative properties and feedbacks to climate. Cirrus clouds, one of the most uncertain components of general circulation models (GCM), pose one of the greatest challenges in predicting the rate and geographical pattern of climate change. Improved measurements of the properties and size distributions and surface structure of small ice crystals — about 20 μm, and identifying the dominant ice nucleation process — heterogeneous versus homogeneous ice nucleation, under different cloud dynamical forcings, will lead to a better representation of their properties in GCM and in modeling their current and future effects on climate.
        Publication date
        2017
        Published in
        Meteorological Monographs
        Published version
        https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0010.1
        Other links
        http://hdl.handle.net/2299/18008
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