Towards an integrated GIS-based coastal forecast workflow

  • Authors:

  • Gabrielle Allen;Philip Bogden;Gerry Creager;Chirag Dekate;Carola Jesch;Hartmut Kaiser;Jon McLaren;Will Perrie;Gregory W. Stone;Xiongping Zhang

  • Affiliations:

  • Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A. and Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.;Southeastern Universities Research Association, 1201 New York Avenue, Washington, DC 20005, U.S.A. and GoMOOS, 350 Commercial Street, Portland, ME 04101, U.S.A.;Academy for Advanced Telecommunications, 3139 TAMU, Texas A&M University, College Station, TX 77843-3139, U.S.A.;Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A. and Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.;Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A. and Wetland Biogeochemistry Institute, Department of Oceanography and Coastal Science, Louisiana Stat ...;Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.;Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.;Fisheries and Oceans, Canada, Bedford Institute of Oceanography, Dartmouth, NS, Canada;Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803, U.S.A.;Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803, U.S.A.

  • Venue:
  • Concurrency and Computation: Practice & Experience - Grids and Geospatial Information Systems
  • Year:
  • 2008

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Abstract

The SURA Coastal Ocean Observing and Prediction (SCOOP) program is using geographical information system (GIS) technologies to visualize and integrate distributed data sources from across the United States and Canada. Hydrodynamic models are run at different sites on a developing multi-institutional computational Grid. Some of these predictive simulations of storm surge and wind waves are triggered by tropical and subtropical cyclones in the Atlantic and the Gulf of Mexico. Model predictions and observational data need to be merged and visualized in a geospatial context for a variety of analyses and applications. A data archive at LSU aggregates the model outputs from multiple sources, and a data-driven workflow triggers remotely performed conversion of a subset of model predictions to georeferenced data sets, which are then delivered to a Web Map Service located at Texas A&M University. Other nodes in the distributed system aggregate the observational data. This paper describes the use of GIS within the SCOOP program for the 2005 hurricane season, along with details of the data-driven distributed dataflow and workflow, which results in geospatial products. We also focus on future plans related to the complimentary use of GIS and Grid technologies in the SCOOP program, through which we hope to provide a wider range of tools that can enhance the tools and capabilities of earth science research and hazard planning. Copyright © 2008 John Wiley & Sons, Ltd.