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Probabilistic Nowcasting of Low-Visibility Procedure States at Vienna International Airport During Cold Season

Philipp Kneringer (), Sebastian J. Dietz (), Georg J. Mayr () and Achim Zeileis ()

Working Papers from Faculty of Economics and Statistics, University of Innsbruck

Abstract: Airport operations are sensitive to visibility conditions. Low-visibility events may lead to capacity reduction, delays and economic losses. Different levels of low-visibility procedures (lvp) are enacted to ensure aviation safety. A nowcast of the probabilities for each of the lvp categories helps decision makers to optimally schedule their operations. An ordered logistic regression (OLR) model is used to forecast these probabilities directly. It is applied to cold season forecasts at Vienna International Airport for lead times of 30-min out to two hours. Model inputs are standard meteorological measurements. The skill of the forecasts is accessed by the ranked probability score. OLR outperforms persistence, which is a strong contender at the shortest lead times. The ranked probability score of the OLR is even better than the one of nowcasts from human forecasters. The OLR-based nowcasting system is computationally fast and can be updated instantaneously when new data become available.

Keywords: aviation meteorology; low visibility; probabilistic nowcasting; statistical forecasts; ordered logistic regression (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-for and nep-tre
Date: 2017-08
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