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Application of Morphological Representation to Enhance the Visualization of Dynamic Weather Maps
 

Application of Morphological Representation to Enhance the Visualization of Dynamic Weather Maps

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"Application of Morphological Representation to Enhance the Visualization of Dynamic Weather Maps" - Presentation at the 2007 American Association of Geographers Conference.

"Application of Morphological Representation to Enhance the Visualization of Dynamic Weather Maps" - Presentation at the 2007 American Association of Geographers Conference.

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    Application of Morphological Representation to Enhance the Visualization of Dynamic Weather Maps Application of Morphological Representation to Enhance the Visualization of Dynamic Weather Maps Presentation Transcript

    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Topological Modelling of Atmospheric Surfaces- A Concept Sanjay Rana
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Contents • Visualisation and Modelling of Atmospheric Surfaces • Topological Modelling of Atmospheric Surfaces • Progress so far • Future Work
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Visualisation and Modelling of Atmospheric Surfaces Two main implementations of Atmospheric Surfaces: • In visualisations for general public and meteorologist for making Weather Charts etc. • In Forecasting Models using fairly sophisticated numerical models involving several atmospheric measures and supercomputers!
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Visualisation and Modelling of Atmospheric Surfaces > Visualisation #1 Common visualisation of weather maps produced by experts based on an amalgamation of temperature, pressure and wind velocity surfaces. www.bom.gov.au/nmoc/MSL/ WeatherMap.shtml (9/Apr/07)
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Visualisation and Modelling of Atmospheric Surfaces > Visualisation #2 Sequence of shaded contour maps showing: •Time Slices •Difference Maps to show the overall variations in a period http://weather.unisys.com/surface (9/Apr/07)
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Sequence of shaded contour maps showing temperature over North America at every hour over 12 hours period last week http://weather.unisys.com/surface (9/Apr/07)
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Sequence of shaded contour maps showing change in temperature over North America every hour over past 24 hours last week http://weather.unisys.com/surface (9/Apr/07)
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Visualisation and Modelling of Atmospheric Surfaces > Visualisation #3 Combination of exploratory visualisation techniques (linked views, brushing, interactivity), perspective views and information visualisation. http://www.vrvis.at/simvis/Isabel/ (10/Apr/07)
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Visualisation and Modelling of Atmospheric Surfaces > Modelling Evolution of the global temperature over a month as simulated within the Flexible Modeling Systems (FMS) framework. Requires the use of a CRAY! http://www.gfdl.noaa.gov/~fms (10/Apr/07)
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Visualisation and Modelling of Atmospheric Surfaces > Insights • Visualising the features of the morphological structure (i.e. lows, highs, saddles, weather fronts) of atmospheric surfaces is fundamental for weather interpretations, • Recording the Spatio-Temporal variations in the morphological structure of atmospheric surfaces leads to the development of forecast models, • However, at present there are no representations that create a network of these features i.e. no topological data structures are used to model the surface.
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Topological Modelling of Atmospheric Surfaces > What’s the topology? • All atmospheric surfaces have morphological features such as lows (pits), highs (peaks), ridges, channels as found in terrain and many other surfaces. • Earlier studies in other kinds of surfaces e.g. terrain density, socio-economical, medical imaging, fluid flows etc. have shown that topological representations based on these morphological features provide a global representation of the morphological structure. • This presentation demonstrates some experiments to model the topology of atmospheric surfaces.
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Topological Modelling of Atmospheric Surfaces > What’s the topology? • Morphological Features Peak Pit Saddle Monkey Saddle Channel Ridge
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Topological Modelling of Atmospheric Surfaces > Topological Data Structures • An Example - Surface Network x (1000) 3000 z1 y1 z1(5000) z2(4000) 2000 1000 y1(2000) z2 y2(3000) x 2000 x (1000) 2000 x : Pit y : Pass y2 2000 z : Peak z3(5000) z3 x (1000) (a) (b) (a) A contour representation of an island showing morphological features (elevations given in parentheses), channels (dashed arrows), ridges (solid arrows); (b) corresponding Surface Network Graph. Numbers on the edges of the graph in (b) are the differences in elevation across the edges.
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Topological Modelling of Atmospheric Surfaces > Morphological Features in Atmospheric Surfaces Pits Channels Saddle Ridge Peak
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Progress so far #1>Visualisation of an animated sequence of Atmospheric Surfaces
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Progress so far #2> Modelling the Spatio- Temporal variations in Atmospheric Surfaces #1 time events length, length direction Merging direction length, Scale Space of the surface bifurcation temperature ravine
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Progress so far #3> Simulations of hypothetical weather scenarios #1 • The structure of a Surface Network is a natural representation of the morphology e.g. unlike TIN or Raster • Topologically-consistent manipulation of a Surface Network structure will thus yield theoretically valid alternative states of atmospheric surfaces
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Progress so far #3> Simulations of hypothetical weather scenarios #2 Simplification Extensification y1 zo xo z x xo x zo yo yo y’ xo z z’ xo x x yo x – Pit; y – Pass; z - Pit
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Simplification Extensification Extensification Refinements on longest ridges (indicated by red arrows) of a Surface Network; blue lines- channels, orange lines- ridges, Generating artificial changes by simplification, red discs - peaks, green discs – passes, and black discs - pits. in this case a large valley
    • Session 15512nd Emerging Computational Techniquesand Technologies in GeoComputation Future Work • Extend to Volumetric atmospheric surfaces • Implement Surface Network/Morse-Smale Complex • Further information on Topological Data Structures for Surfaces in Rana (2005). • Seeking collaborations from researchers in • Computer Vision • Meteorology • Weather Data Providers • GeoVisualization