Sixth Conference on Artificial Intelligence Applications to Environmental Science
13th Conference on Aviation, Range and Aerospace Meteorology

J1.1

Update on WIND-3: an analog forecasting system for ceiling and visibility

Bjarne Hansen, Environment Canada, Dorval, QC, Canada; and I. Gultepe and A. Ling

WIND-3 is an analog forecasting system based on fuzzy logic that produces probabilistic predictions of cloud ceiling height and horizontal visibility at 198 airports in Canada. For data, it uses historical observations (climatology), current observations (METARs), and model-based guidance (GEM). It has run continuously for the past two years and produces useful guidance for aviation forecasters. It is described in detail by Hansen (2007). The present article provides an update on three areas of subsequent research: 1) verification of probabilistic forecasts using ROC diagrams, including comparison with the benchmark technique of conditional persistence climatology (CPC); 2) experiments with alternate scenarios, for example, predicted ceiling and visibility with rain versus without rain; and 3) applicability of analog forecasting and CPC to prediction of fog.

Supplementary webpage: http://collaboration.cmc.ec.gc.ca/science/arma/aram

wrf recording  Recorded presentation

Joint Session 1, The use of Artificial Intelligence in the field of Aviation, Range, and Aerospace Meteorology
Wednesday, 23 January 2008, 1:15 PM-2:30 PM, 205

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