Show simple item record

contributor authorTremblay, André
contributor authorCober, Stewart G.
contributor authorGlazer, Anna
contributor authorIsaac, George
contributor authorMailhot, Jocelyn
date accessioned2017-06-09T14:51:32Z
date available2017-06-09T14:51:32Z
date copyright1996/03/01
date issued1996
identifier issn0882-8156
identifier otherams-2834.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4165445
description abstractA technique for the detection of supercooled liquid water (SLW) from Special Sensor Microwave/ (SSM/I) data is discussed. For this study, these SLW retrievals depict areas of icing that are used to compare against different aircraft icing forecast algorithms. It is shown that currently used automated algorithms give incorrect distributions of SLW events with temperature and include systematically glaciated clouds in icing forecasts. This problem is eliminated when an explicit SLW scheme is used. With this scheme the Canadian forecast system can detect roughly 75% of the SLW signal within an accuracy of 100 km when compared to SSM/I retrievals. The scheme also detects 99% of nonicing events within the same accuracy.
publisherAmerican Meteorological Society
titleAn Intercomparison of Mesoscale Forecasts of Aircraft Icing Using SSM/I Retrievals
typeJournal Paper
journal volume11
journal issue1
journal titleWeather and Forecasting
identifier doi10.1175/1520-0434(1996)011<0066:AIOMFO>2.0.CO;2
journal fristpage66
journal lastpage77
treeWeather and Forecasting:;1996:;volume( 011 ):;issue: 001
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record