1 / 18

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

barryd
Download Presentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related