Evaluating Data Models and Related GIS Tools for Marine and Atmospheric Applications

Coastal GeoTools '05
March 7-10, 2005, Myrtle Beach, SC

Poster P22

J Breman

ESRI

Redlands, CA

jbreman@esri.com

DJ Wright

Dept of Geosciences, Oregon State Univ

Corvallis, OR 97331-5506

Data model initiatives have emerged in recent years as a means of organizing data sets relevant to Marine research and development. Both Atmospheric and Marine data models have developed that address the complexity of multi dimensional data that vary in temporal and spatial reference. The dialog between organizations and individuals within the atmospheric and marine science communities regarding data representation issues is reflected in the current status of these models, and their implementation in the form of case studies, and project work has confirmed the utility of this approach.

The management of temporal data, using vector and raster tools for query and analysis are areas of primary focus. Feedback from NOAA, NCAR, UCAR, and other organizations have contributed to the design of new tools for temporal analysis of atmospheric and marine data sets not native to GIS, such as NetCDF and HDF. We are interested in continuing the process of data model design, and discovery of the most effective methods for interoperable data exchange for Marine and Atmospheric data types and formats.

A layer stack representation of the most commonly used Atmospheric and Marine data is an important stage in the design process. The data model template has been revised and is now being used to model atmospheric and marine data. Milestones in the data model process are made available via the internet and publications. Contributing ideas help to target development of new tools for the representation of data that varies temporally in time duration, and series, as well as spatially in the vertical extent both on the coast and in the water column.

Keywords: GIS, Data models, Atmosphere, Oceans, Temporal Analysis

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