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References in periodicals archive ?
de Laat, A., and Coauthors, 2017: Analysis of geostationary satellite-derived cloud parameters associated with environments with high ice water content. Atmos.
Brown, 2007: Evaluation of ice water content retrievals from cloud radar reflectivity and temperature using a large airborne in-situ microphysical database.
Potts, 2017: High ice water content conditions around Darwin: Frequency of occurrence and duration as estimated by a nowcasting model.
W., and Coauthors, 2016: The High Ice Water Content (HIWC) study of deep convective clouds: Report on science and technical plan.
Recent flight tests of the Optical Ice Detector have demonstrated its ability to differentiate cloud phase and estimate the fraction of ice water content within a cloud.
HALO with comprehensive cabin instrumentation (novel instruments marked in blue), including a lidar system for the remote sensing of clouds and water vapor and an extensive in situ payload to measure ice water content, ice residuals, aerosol, trace gases, and radiation.
The ice water content along the flight track derived from WARAN/SHARC hygrometers is color coded.
F., and Coauthors, 2012a: On the observation of unusual high concentration of small chain-like aggregate ice crystals and large ice water contents near the top of a deep convective cloud during the CIRCLE-2 experiment.
The change in liquid water content, [DELTA]LWC, and ice water content, [DELTA]IWC, represent the change in values between the test section and the injection point.
Ice fog can be parameterized assuming that visibility is a function of ice water content and ice crystal number concentration (~1000 [L.sup.-1]) at sizes usually less than 200 [micro]m.
Visibility is strongly related to particle shape, density, ice crystal number concentration, and ice water content. Therefore, the extinction coefficient ([[beta].sub.ext]) can be obtained as a function of ice crystal number concentration ([N.sub.i]) and cross-sectional surface area ([A.sub.c]) of ice crystals.
If both ice water content and ice crystal number concentration can be known from a forecasting model at each time step, then ice fog visibility can be predicted.