Cb-Tcu classification based on radar and satellite observations

J.P.J.M.M. de Valk and R.M. van Westrhenen, Ministry of Infrastructure and the Environment, Royal Netherlands Meteorological Institute (KNMI)
De Bilt : KNMI

Cumulonimbus and towering cumulus clouds form a threat for save aviation conditions. Their detection in the vicinity of airports is an ICAO requirement. The detection is still predominantl done by human observers. At KNMI an automated Cb detection algorithm is developed based o radar and satellite observations. It became operational in 2011 at three airports in the Netherlands. This report describes the derivation and performance of the Cb-classification software as used atthe KNMI. It details the 2014 version of the software. The 2014 version substitutes the 2010 version, De Valk and van Westhrenen, 2010. This manual should be read in conjunction with the 2010 report and the operational manual, De Valk and van Westrhenen 2011. The report and especially its appendices should enable the reader to develop an automatic Cbclassification from scratch based upon radar and satellite observations at any location within the viewing geometry of the SEVIRI instrument on board of METEOSAT. It requires the coverage of the area of interest by both radar and satellite observations and a supervised Cb classification over the same area. They serve as input for predictor and their coefficients determination which is based upon an algorithm that determines the predictor values over the areas of interest. The algorithm should produce contours, averages, minimum and maximum values of the observed values.

90 p.
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(Scientific report = Wetenschappelijk rapport ; WR 2015-01)
With ref.