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Thermal Maps

by on 11/01/2014

The maps show the probability of finding an usable ascending air current for a paraglider with the help of thermal trigger points. Each of the maps is optimized for a defined time period. No model data was used (only *.igc flights).

The main factor for good thermal maps is the flight density in a given area. It was also discovered that maps are generally better if the topology is the main thermal factor. In some regions, only sparse thermal predictions can be shown, since there is only little information available. For example in the flatlands the prediction quality is generally lower, since there are fewer flights and most of them are performed according to cloud position and not according to static trigger points on the surface. Regions with sparse information were kept transparent in order to reduce clutter. Furthermore, thermals next to popular launch pads are generally overrated (the position, however, is correct). This is caused by the fact, that most pilots only upload a flight if they at least catch the first thermal.
Hotspots are points where it is likely to find a thermal. They are extracted out of the raster based thermal maps. Again they are time dependent. Their main purpose is an upload into a GPS where they come in handy during flights.
Soaring is filtered out wherever possible.

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