Visualising 4D Weather Data

Chris Little (Met Office) with Christine Perey (PEREY Research & Consulting), Mike Reynolds (Augmented Technologies Ltd)

11:30 on Friday 20th September (in Session 34, starting at 11:30 a.m., Sir Clive Granger Building: A39)

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Description: WindAR demonstrates 4D gridded wind information, both actual and forecast, overlaid on a live video view on a mobile Android table.
Abstract:

WindAR is a proof-of-concept project that combines Augmented Reality, Open Mapping, Cloud technology, standard weather feeds and mobile hardware to demonstrate visualisation of local weather information. Wherever possible, accepted interoperability standards and packages have been used. Currently, the system displays 4D gridded wind information, both actual and forecast, overlaid on a live video view on a mobile Android tablet, and the demo service has been running for a few months. Areas for simple extensions to the service and further development will be outlined. The current implementation uses OGC WFS and GML v2.0, Google's tile mapping API, WMO (World Meteorological Organisation) GRIB (binary gridded) data format, open source Iris and Cartopy python libraries, Augmented Technologies AWILA package, an Amazon EC2 server and various Android clients.