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Session 1551


2nd Emerging Computational Techniques
and Technologies in GeoComputation




           Topological Modelling
           of Atmospheric
           Surfaces- A Concept
           Sanjay Rana
Session 1551


2nd Emerging Computational Techniques
and Technologies in GeoComputation



    Contents
    • Visualisation and Modelling of
      Atmospheric Surfaces
    • Topological Modelling of Atmospheric
      Surfaces
    • Progress so far
    • Future Work
Session 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and Technologies in GeoComputation



    Topological Modelling of Atmospheric
     Surfaces > What’s the topology?
    • Morphological Features




        Peak                Pit         Saddle     Monkey
                                                   Saddle




        Channel                            Ridge
Session 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and Technologies in GeoComputation



    Topological Modelling of Atmospheric
     Surfaces > Morphological Features in
        Atmospheric Surfaces
                                                    Pits




                                        Channels   Saddle

                                                              Ridge


                                                            Peak
Session 1551


2nd Emerging Computational Techniques
and Technologies in GeoComputation



    Progress so far #1>Visualisation of an
        animated sequence of Atmospheric Surfaces
Session 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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 1551


2nd Emerging Computational Techniques
and 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

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

  • 1. Session 1551 2nd Emerging Computational Techniques and Technologies in GeoComputation Topological Modelling of Atmospheric Surfaces- A Concept Sanjay Rana
  • 2. Session 1551 2nd Emerging Computational Techniques and Technologies in GeoComputation Contents • Visualisation and Modelling of Atmospheric Surfaces • Topological Modelling of Atmospheric Surfaces • Progress so far • Future Work
  • 3. Session 1551 2nd Emerging Computational Techniques and 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!
  • 4. Session 1551 2nd Emerging Computational Techniques and 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)
  • 5. Session 1551 2nd Emerging Computational Techniques and 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)
  • 6. Session 1551 2nd Emerging Computational Techniques and 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)
  • 7. Session 1551 2nd Emerging Computational Techniques and 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)
  • 8. Session 1551 2nd Emerging Computational Techniques and 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)
  • 9. Session 1551 2nd Emerging Computational Techniques and 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)
  • 10. Session 1551 2nd Emerging Computational Techniques and 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.
  • 11. Session 1551 2nd Emerging Computational Techniques and 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.
  • 12. Session 1551 2nd Emerging Computational Techniques and Technologies in GeoComputation Topological Modelling of Atmospheric Surfaces > What’s the topology? • Morphological Features Peak Pit Saddle Monkey Saddle Channel Ridge
  • 13. Session 1551 2nd Emerging Computational Techniques and 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.
  • 14. Session 1551 2nd Emerging Computational Techniques and Technologies in GeoComputation Topological Modelling of Atmospheric Surfaces > Morphological Features in Atmospheric Surfaces Pits Channels Saddle Ridge Peak
  • 15. Session 1551 2nd Emerging Computational Techniques and Technologies in GeoComputation Progress so far #1>Visualisation of an animated sequence of Atmospheric Surfaces
  • 16. Session 1551 2nd Emerging Computational Techniques and 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
  • 17. Session 1551 2nd Emerging Computational Techniques and 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
  • 18. Session 1551 2nd Emerging Computational Techniques and 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
  • 19. Session 1551 2nd Emerging Computational Techniques and 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
  • 20. Session 1551 2nd Emerging Computational Techniques and 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