P 2 . 12 Clustering of Cold Cloud Microphysical Properties (original) (raw)

Despite the deicing capabilities of modern aircraft, crashes still occur in icing because engineers cannot test for all possible conditions. Also, forecasts are still not sufficiently accurate to allow aircraft to always avoid icing. As a result, a government team is developing radar and microwave radiometer technologies for remotely mapping hazardous icing conditions ahead of aircraft (Ryerson et al., 2001). Establishing the capabilities of such systems requires consideration of the spatial properties of the cloud microphysical environment they must measure. Also, spatial fluctuation of cold, supercooled cloud microphysics affects the type and location of ice formation on airfoils, thereby strongly affecting aircraft performance. This paper describes methods we use to characterize spatial patterns of cloud liquid water content (LWC) in supercooled clouds. Analyses were performed on data collected by the NASA Glenn Research Center.

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