Overview of the Godiva2 environmental data online visualization system.

1. Interactive visualization of four-dimensional environmental data using an enhanced Web Map Service Jon Blower, Reading e-Science Centre, Environmental Systems Science Centre, University of Reading [email_address] http://www. reading.ac.uk/godiva2

3. We need to see into the future All require interdisciplinary science! Flood prediction Search and rescue Climate prediction

9. Open Geospatial Web Services (plus many more!) Web Coverage Service Gridded data (rasters) Web Map Service Map imagery (PNG, JPG, GIF) Web Feature Service Simple features Complex features

14. Selection of depth Select from all the depth levels of the model

15. Selection of time (range) Select from all the timesteps in the model Selection of a time range leads to an animation

16. Finding the data value at a point Click on the data layer, data value and precise position is shown Lon: -64.08 Lat: 36.21 Value: 19.27

17. Timeseries plots If a time range is selected, can create a timeseries plot at a point

18. Vector plots

19. Selection of colour palette

21. Polar projections

22. Choice of background images

24. Architecture of Godiva2 system Java Web Application (Spring, JSP) Data abstraction layer NetCDF files Other files GetCapabilities GetMap GetFeatureInfo Custom metadata Godiva2 website JSON PNG, GIF Generic WMS client XML Remote data OPeNDAP PNG, GIF

25. Visualizing distributed data: the MERSEA project OPeNDAP DATA North Atlantic data centre OPeNDAP DATA OPeNDAP DATA WMS @ Reading Dynamic Quick View website (= rebranded Godiva2) Uses existing OPeNDAP-based architecture Single point of failure http://www.resc.rdg.ac.uk/mersea Baltic data centre Arctic data centre Background imagery (from NASA etc)

26. Removing the bottleneck: Federated visualization OPeNDAP DATA WMS OPeNDAP DATA WMS OPeNDAP DATA WMS Each data centre must install the WMS Less network traffic More robust Third-party WMS Background imagery (from NASA etc)

27. What is the best use for this? Have an idea Discuss/explore Do the work Formally publish Godiva2 Matlab, IDL etc Disseminate Godiva2

30. Interoperability 3rd-party clients can’t use the custom WMS extensions NASA World Wind Cadcorp SIS Google Earth

33. Conclusions…

34. Why is it hard to reconcile scientific data and open GIS standards? Data volumes often too large for XML XML is primary exchange mechanism Weird and wonderful coordinate systems (spatial and temporal) Well-known, stable coordinate systems Fully four-dimensional data Map-oriented, i.e. 2.5D ( although things are changing, slowly ) Geographic location is an attribute of data Everything is an attribute of a geographic location Science GIS