Monitoring water phase dynamics in winter clouds

This work presents observations of water phase dynamics that demonstrate the theoretical Wegener–Bergeron–Findeisen concepts in mixed-phase winter storms. The work analyzes vertical profiles of air vapor pressure, and equilibrium vapor pressure over liquid water and ice. Based only on the magnitude...

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Veröffentlicht in:Atmospheric research 2014-10, Vol.147-148 (C), p.86-100
Hauptverfasser: Campos, Edwin F., Ware, Randolph, Joe, Paul, Hudak, David
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Sprache:eng
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Zusammenfassung:This work presents observations of water phase dynamics that demonstrate the theoretical Wegener–Bergeron–Findeisen concepts in mixed-phase winter storms. The work analyzes vertical profiles of air vapor pressure, and equilibrium vapor pressure over liquid water and ice. Based only on the magnitude ranking of these vapor pressures, we identified conditions where liquid droplets and ice particles grow or deplete simultaneously, as well as the conditions where droplets evaporate and ice particles grow by vapor diffusion. The method is applied to ground-based remote-sensing observations during two snowstorms, using two distinct microwave profiling radiometers operating in different climatic regions (North American Central High Plains and Great Lakes). The results are compared with independent microwave radiometer retrievals of vertically integrated liquid water, cloud-base estimates from a co-located ceilometer, reflectivity factor and Doppler velocity observations by nearby vertically pointing radars, and radiometer estimates of liquid water layers aloft. This work thus makes a positive contribution toward monitoring and nowcasting the evolution of supercooled droplets in winter clouds. •We present a method for identifying atmospheric heights favorable for development of supercooled cloud droplets.•Implementation is done for 2 snowstorms, using 2 distinct microwave profiling radiometers operating in different climates.•The results are tested for physical consistency with co-located, independent remote-sensing estimates.
ISSN:0169-8095
1873-2895
DOI:10.1016/j.atmosres.2014.03.008