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Weather-Observing-Camera-Network WeBoKaN = We tter- B e o bachtungs- Ka mera- N etzwerk

Weather-Observing-Camera-Network WeBoKaN = We tter- B e o bachtungs- Ka mera- N etzwerk. Theodor Mammen, Uwe Wienert (Rainer Bauer, Hardy Pinz, Eckhard Lanzinger et al). Topics: Technology Products Local-Remote Comparison Outlook. TECHNOLOGY. Integration of Standard Components

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Weather-Observing-Camera-Network WeBoKaN = We tter- B e o bachtungs- Ka mera- N etzwerk

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  1. Weather-Observing-Camera-Network WeBoKaN = Wetter-Beobachtungs-Kamera-Netzwerk Theodor Mammen, Uwe Wienert (Rainer Bauer, Hardy Pinz, Eckhard Lanzinger et al)

  2. Topics: • Technology • Products • Local-Remote Comparison • Outlook

  3. TECHNOLOGY

  4. Integration of Standard Components to a flexible and specialized System

  5. Outdoor: • Movable Camera • Fixed Camera • Sensors (Temp., Precip. Y/N) • Fountain solution for wiper Indoor: • PC • Terminalserver • Network • BITE and UPS

  6. PRODUCTS

  7. Panorama: wide angle allows full 360 degrees with 8 shots Movable Camera • Zoomed target for estimate of visibility

  8. Picture: • JPG-Header includes meta data Movie: • Full PAL- or 1/4 PAL-resolution

  9. INTER-COMPARISON LOCAL REMOTE

  10. Timeperiod: • September,1st 2003 to August,31 2004 Parameter (data availability): • Total Cloud Coverage (>90%) • Horizontal Visibility (>90%) • Present Weather (60%) • State of Ground (10%)

  11. Summary of Inter-Comparison: • Cloud Coverage and Visibilty can be well optained • Intensity of precipitation hard to get • Snow Voverage OK, other States of Ground not • Results from different Stations are similar Summary of Questionnaire: • Forecasters use DWD- and other Internetcameras • Cloud Coverage and Visibilty (60-80%) • Present Weather from Movies (55%)

  12. OUTLOOK

  13. Noise reduction: Original Averaged over 8 pictures

  14. Scanning will we optimized • Extend operation to „Low Brightness Condition“ • Host based „Exposure“ and Picture Manipulation • Complete „outdoor“ Installation will be tested • Requests for more Systems (WKN-II) • We apply for Ressources • Integration into NINJO (DWD Data Display System)

  15. Sahara-Dust over Bavaria

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