Retrospectives
Historical forecasts of major storm impacts

The cyber infrastructure for OpenIOOS includes tools for previewing and downloading archived resources. The archives include historical forecasts of major storms dating back to 2004.

Water-Level and Inundation Forecasts

Archives include forecasts of water level and coastal inundation. One model (ADCIRC) has been running since 2004 at low-resolution for the entire Atlantic and Gulf of Mexico. Several regional models have been run at high-resolution in various domains. These include CH3D in Tampa Bay, Charlotte Harbor, the Northern Gulf of Mexico and the East Coast of Florida and ELCIRC in the Chesapeake Bay.

Wave Forecasts

The archives include large-scale, low resolution wave forecasts for the North Atlantic and Gulf of Mexico. Wave observations and forecast products are available for over 20 storms from 2006 - 2008.

Prototype Decision Tool for Coastal Flooding and Erosion

GoMOOS has worked with meteorologists at the National Weather Service in Gray, Maine to prototype a decision-support tool that predicts coastal storm damage. The tool uses forecasts of water level and waves to predict coastal damage near Saco, Maine. As of summer 2008, it is being adapted to other areas in Maine and Massachusetts. A Patriots Day retrospective from 2007 shows the tool in action.

Search and download archived results

In addition to the historical forecasts, the archives include other resources that can be used to improve coastal predictions. These include collections of high-water marks for New Orleans during Katrina, and observations that can be used for model-verification studies. The archives may be accessed and searched by storm, by year, by geographic area, or by data type. Products include model animations, storm data, interactive graphical storm plots, a text listing of the storm track, and a Google Earth KML file. Every catalog entry includes relevant metadata.


Hurricane
OpenIOOS.org maintains an archive of forecasts produced by the SCOOP system during historical storms. Maintaining an archive of storm history allows scientists to download forecast data to analyze performance, view visualizations of how the forecasts evolved over time, and allows comparisions to actual observations taken during the storm.