Cross-Scale, Multi-Scale, and Multi-Source Data Visualization and Analysis Issues and Opportunities - Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization - page 336

Fig. 28.1 Multi-scale examples, a microscale, b cloud scale, c storm scale, and d global scale. ©
IEEE reprinted, with permission, from IEEE transactions on visualization and computer graphics
12(5)

scalar and vector fields that vary over time. Current tools for atmospheric visualiza-
tion and analysis are incapable of the following crucial functions:
￿ Integrating these various data sources and providing effective interfaces for fusion,

analysis, experimentation, exploration, hypothesis testing, and discovery.

￿ Communicating the complex three-dimensional, time-varying information neces-

sary to accurately predict atmospheric events, conditions, and consequences (e.g.,
aircraft icing) and extend the understanding of atmospheric phenomena.

￿ Integration of visual representations into the scientific analysis and discovery

process.

28.1.2 Transformational Cross-Scale Science

Facilitating breakthrough scientific discoveries will require the development of trans-
formational science that produces revolutionary new tools for mastering the multi-
and cross-scale challenges of our world. Science discovery possibilities are presented
here as a broad spectrum of disciplines, including the following. 1

1 This is summarized from the NSF Science and Engineering CommunityWorkshop report by Ebert
D., Gaither K., and Gilpin C.