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| This page describes some standard and customised CineSat applications: | ||||||||||||||||
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| Automated Production of Graphical Weather Displays | ||||||||||||||||
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You will find a more detailed summary of the graphical facilities
here.
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| Composite of 5 satellite images in Hammer projection; the clouds have been drawn onto a colored background using a single parameter setting for all satellites and all latitudes. Click on the image for a higher resolution display. |
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| Polar-stereographic projection of the European region; IR cloud image together with a land/sea background, geographical net and the major European cities drawn as overlay. Click on the image for a higher resolution display. |
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You can directly connect CineSat to a satellite image receiver and configure it to automatically produce a set of customized image products. The Automatic Product Extraction facility does not require any user interaction for the operational real-time generation of the configured weather products.
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| CineSat in Operational Weather Forecasting | ||||||||||||||||
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| CineSat for Pilot Briefing and Flight Planning | ||||||||||||||||
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| CineSat in TV Weather Animation | ||||||||||||||||
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| Special User Applications | ||||||||||||||||
The following links outline some of the applications that have been realized by users of the CineSat package: |
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| Trajectories of Weather Radar Rain Cells | ||||||||||||||||
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The German weather service (DWD) runs a CB (Cumulonimbus) detection software that performs a joint multi-spectral classification of the weather radar image and the Meteosat IR and VIS image pixels. The identified CB positions are passed on to CineSat as trajectory start points. The trajectory predictions are computed by use of the Meteosat infra-red motion fields.
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| Applications | ||||||||||||||||
| Trajectories of Synoptic Observations | ||||||||||||||||
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Applications |
The central meteorological institute in Austria (ZAMG) applies the trajectory prediction to cloud-related synoptic observations like rain measurements. Overlaying this product on the current infra-red image gives an instant overview where to and at which speed the observed rain patterns are moving.
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| Interpolation of Cloud Related NWP Fields | ||||||||||||||||
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At the German weather service (DWD), selected one-hourly NWP (numerical weather prediction) parameter fields are being converted to artificial images which are fed into CineSat where they are interpolated down to 5 minute intervals. The smooth sequence of NWP fields then forms the basis for special weather animation techniques.
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| Production of High-Quality TV Animation Movies | ||||||||||||||||
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Applications |
Since about 4 years the German weather service (DWD) serves its TV media clients with CineSat´s smooth Meteosat weather animation movies. The CineSat interpolation technique uses cloud motion information and provides animations that are much more realistic and smooth than those produced by other movie techniques. The DWD uses CineSat's interpolated cloud images to convert them to a 3D-animation film.
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| Independent Verification of NWP Model Fields | ||||||||||||||||
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Users report that they come to appreciate CineSat´s image based predictions as an assessment of a situation that is independent from numerical weather prediction models. Knowing once where a NWP model does not exactly match a situation, its parameters can nevertheless often be used by taking into account the observed geographical displacement. |
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| Automatic Classification of Conceptual Models - MISSION Project | ||||||||||||||||
| For Meteosat 2nd generation ZAMG and the CineSat team are currently
developing a Nowcasting Satellite Application Facility - the classification of conceptual models. This is, in principle, a multi-spectral and multi-source classification of objects and structures in satellite imagery and numerical weather prediction (NWP) model data. CineSat's nowcasting products come into this process at several stages, e.g. by using cloud development maps as additional artificial image channel, by deriving image structure features from the motion field (vorticity, divergence), by optionally interpolating half-hourly WV images during daytime, and by interpolating the 6-hourly NWP data to half-hourly time steps. |
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| Automatically classified IR-image: convective clouds in structured fronts | ||||||||||||||||
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high probability of very dry air red: probability for front crossings |
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| MISSION Benefit and Summary | ||||||||||||||||
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The intelligent preprocessing of meteorological data enables
early warnings in dangerous weather situations.
The meteo research team at ZAMG is very satisfied with the results
achieved so far. After 3 years of development it is now possible to classify more than 30 different classes of
weather phenomena in real-time with fairly good accuracy. |
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Applications |
At the moment, there is only a German version of the MISSION project
description available:
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