Visualizing Hurricane Katrina: large data management, rendering and display challenges

ABSTRACT

The onslaught of Hurricane Katrina has highlighted the need for effective information display. Visualization of geoscientific data faces challenges of size, integration and representation. Rendering methods need to cope with the surge of data due to advancements in acquisition techniques and computing power. Moreover, data stemming from different application communities are not compatible a-priori. Holistic representations are important to communicate the causes and impact of natural catastrophes to the scientists themselves, decision-makers and the general public. To address these issues, we have developed efficient data layout mechanisms to ensure fast and uniform access to diverse data. We apply effective rendering techniques that intuitively and interactively convey the phenomena. Finally, we discuss the use of high-resolution displays connected via high-speed networks to support collaboration. These components establish a framework for application in hurricane research, coastal modeling and beyond.

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.3 COMPUTER GRAPHICS
      I.3.7 Three-Dimensional Graphics and Realism
          Subjects: Animation

Additional Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.1 Multimedia Information Systems
          Subjects: Animations
      H.5.3 Group and Organization Interfaces
          Subjects: Collaborative computing

  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.4 Model Validation and Analysis
      I.6.8 Types of Simulation
          Subjects: Animation

Keywords:
geovisualization, scalable displays, scientific data management, scientific visualization