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Sulis: Community Models & Informatics Services. CI Strategies 2 & 3: River/Watershed Flood Modeling Northern Gulf Coastal Hazards Collaboratory. John Cartwright & William H. McAnally Mississippi State University – 25 October 2012. Atmospheric Tools. Data Weather Radar
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Sulis:Community Models & Informatics Services CI Strategies 2 & 3: River/Watershed Flood Modeling Northern Gulf Coastal Hazards Collaboratory John Cartwright & William H. McAnally Mississippi State University – 25 October 2012
Atmospheric Tools • Data • Weather Radar • Topo/Bathymetry • Land Use/Cover • River Discharge • NEON DB • NDDC/BASINS • Resource Mgmt Hydrologic Models Landscape Tools Surge Models Stream & Estuary Models Ecosystem Models
River/Watershed Flood Modeling Goals: • Shared, distributed, reference models, data & tools for coastal hazards (CI2) • Data network - catchment to the coast flooding hazards. (CI2) • Regional-scale collaboratory with access to common tools and services (CI3 & 4) • Support E&O (CI5) Approach: • Existing Sulis Models Catalog (CI2) • Sulis Informatics Services (CI3)
Sulis Components CI Strategy 2 CI Strategy 3
Sulis Informatics Services Metadata: • Metadata Creator (Beta) • Sulis Data Portal • Registered Users • Register a Network Resource • MERMAiD (NOAA) • All provide XML format • Uploaded to Sulis Portal or NGCHC Portal
Block diagram of Mobile Bay use case ADCIRC data sets LSU Data storage Inference 2D GIS 3D vis Sulis Informatics Flood Modeling E&O DISL & JSU MSU Rainfall & ET data sets UAT/NEON Rainfall/runoff (HSPF) Model Connectivity Flooding (EFDC) Surge (ADCIRC)
Sulis Informatics Services Inference Engine: Connecting & Filling Model Gaps • Methods • Support Vector Regression • Multivariate Spline Regression • Linear Regression • Tested On: • EFDC model data from Mobile Bay. • ADCIRC model data from eastern U.S. coast. • EFDC model data from Fish River, Mobile Bay
Sulis Informatics Services – Weeks Bay Flood Flood Tide Tide
Sulis Informatics Services Data Discovery: • ESRI Geoportal • OpenSource • Customized for complex model data sets • NetCDF • Quickly search and review data details • Visualize static and dynamic data layers • EnVis