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MARCOORA – Events of Opportunity

MARCOORA – Events of Opportunity. Justify the Need: MARCOORA – Events of Opportunity End-users with needs during Three day Nor-Easter NWS: NHC, LWX , MHX, AKQ , OKX , Taunton Commercial maritime: Pilot Tower, Fisher Island Ferry, Ferry DRBA Crowley

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MARCOORA – Events of Opportunity

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  1. MARCOORA – Events of Opportunity

  2. Justify the Need: MARCOORA – Events of Opportunity End-users with needs during Three day Nor-Easter NWS: NHC, LWX , MHX, AKQ , OKX, Taunton Commercial maritime: Pilot Tower, Fisher Island Ferry, Ferry DRBA Crowley Military: NLMOC , Dahlgren, NAVAUDSVC Road Transportation: Monitor Merrimac Bridge Tunnel , Chesapeake Bay Bridge Tunnel USCG: Little Creek,Sarops, Sector Hampton Roads , Jones Beach, Sector New York ,Station Annapolis ,Station Fire Island, District Sector Boston, Station Wanchese, Yorktown Training Center Municipalities: New Smyrna Beach FL , Oak Island NC, Tybee Island GA Universities: Rutgers, North Carolina Coastal Studies Institute, Univ. of Rhode Island, Northeastern Emergency Management: Monmouth NJ, Ocean City MD, Brick NJ, Dare County NC Utilities: Dominion Power, Florida Power and Light National Park Service: Gateway NY, Hatteras NC Wind Energy: Iberdrola

  3. MARCOOS Domain Atmospheric Modeling Assets WeatherFlow 4 km RAMS NWS 3 km WRF (Mt. Holly NJ) Other contributors:NWS WRF (Wakefield VA) NWS WRF (Upton NY ) Others ??? WeatherFlow 2 km RAMS NWS 4 km WRF (Sterling VA)

  4. MARCOOS Atmospheric Modeling Next Steps Which model is right? How certain are we of the forecast? Why is the forecast off? How can we improve the forecast next time?

  5. Step 1: Create an “All-Sector” Entity known as the source for expertizeand capability. For the private sector, making the transition from “Please join, we want you and we need you” to “How can I become a member”. …for both private sector contributors and users!

  6. Step 2: Entity that matches needs with assets • Academia – Bring together the “best of the best” oceanographic minds into a single organization. • Private sector – Attract corporate partners that are profitable with MACOORA-like business models. • Integrate all government agency assets that can contribute to and benefit from ocean information.

  7. Step 3:Optimize Data and Information Exchange Facilitate common data formats. Define and require data quality. Promote and educate observation systems. Synthesize funding opportunities. Market new observation technologies. Create a shared-cost, shared-asset entity.

  8. For the Private Sector, MACOORA is: • The data and expertise-driven engine that: • 1) Spawns ocean information businesses. • 2) Provides valuable source of information needed by numerous government agencies to improve their missions(data and expertise). • 3) Provides data to research institutions, provides a training environment and facilitates ocean-based research to improve observation systems. • 4) Allows end-user businesses to improve their bottom line. Macoora is not a web page, and cannot be all things to all people!

  9. Private Sector Data Provider Made better by…

  10. Private Sector End User WeatherFlow Hurricane NetworkAtlantic and Gulf Coasts • 100 Stations, hurricane-hardened towithstand 140 mph winds • Stand alone for power and comms • Sited near population centers butaway from projectile risk • Partnership with insurance andre-insurance industries • Highly successful duringHurricane Ike (Sept 2008) Currently provided to NWS/NHC via MOA

  11. NRC Report: A Network of Networks Significant deficiencies exist over the coastal waters despite the fact that oceanic regions tend toward greater uniformity over larger regions. The 700 coastal ocean sites, which include Alaska and Hawaii, clearly do not resolve either the atmospheric or oceanic mesoscale (Figures 4.4 and 4.5). To counter this large difference in the density of surface observations between land and sea, satellite scatterometer winds and sea-surface temperature estimates provide high-quality information at high resolution over the oceans. However, some of these measurements become problematic very close to the coasts, owing to strong gradients and land-contaminated satellite footprints. The low density of measurements immediately offshore is a matter of considerable concern, given that 50 percent of the U.S. population lives within 50 miles of the coast and the increased complexity and importance associated with coastal airflow near large cities.

  12. http://coaps.fsu.edu/scatterometry/statement/

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