REINAS: Real-time Environmental Information Network and Analysis System --Annual Report 1997
CALIFORNIA UNIV SANTA CRUZ SCHOOL OF ENGINEERING
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LONG TERM GOALS The ultimate goal of this research is to achieve faster and more accurate weather prediction. The ocean and atmospheric processes of both operational and research interest at a regional scale occur on time and space scales that require nearly continuous measurement, as opposed to discrete time interval measurements as used in the past. Measurements and calculations must be made of both mean and fluctuating values in order to understand both mean transports and properties and turbulent fluxes. Observations are often sparse and irregular and must be assimilated into a consistent representation of the phenomena being observed. Techniques are needed to properly collect these data, assimilate them into analysis andor forecast models, and display both the data and model output using creative visualization software. The quantity of potential data and diversity of possible models require development of sophisticated processing methods for researchers to intelligently sort out the different scales of processes that are active in the environment. The focus of this initiative is to develop the capability for real-time collection, assimilation, and display of insitu andor remotely sensed environmental data via research in methodologies for data collection, compaction and storage as well as appropriate physical analysis and modeling. Integration of database systems and visualization with direct manipulation interfaces, and development of novel means for visualizing and melding large data sets comprised of diverse data types are major goals.