MARCOORA – Events of Opportunity. Justify the Need: MARCOORA – Events of Opportunity End-users with needs during Three day Nor-Easter NWS: NHC, LWX, MHX,

time_stamp 11/11/09 11/11/09 11/11/09 11/11/09 11/12/09 11/12/09 11/12/09 11/12/09 11/13/09 11/13/09 11/13/09 11/13/09 11/13/090

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November Nor'Easter Winds at Poquoson average

lull

gust

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65+ Straight hours over winds speeds > 20 knots

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

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

WeatherFlow 4 km RAMS

WeatherFlow 2 km RAMS

NWS 3 km WRF (Mt. Holly NJ)

NWS 4 km WRF (Sterling VA)

Other contributors:NWS WRF (Wakefield VA)NWS WRF (Upton NY )Others ???

MARCOOS Domain Atmospheric Modeling Assets

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Lower Chesapeake Bay Cumulative Wind Vector Difference Errors using 40 Observation Sites Versus 12 UTC Model Runs

RAMS 2km NAM 12km WRF 3km WRF 4km

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?

Step 1: Create an “All-Sector” Entity known as the source for expertize and 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!

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.

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.

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!

Made better by…

Private Sector Data Provider

WeatherFlow Hurricane NetworkAtlantic and Gulf Coasts

• 100 Stations, hurricane-hardened towithstand 140 mph winds

• Stand alone for power and comms• Sited near population centers but

away from projectile risk• Partnership with insurance and

re-insurance industries• Highly successful during

Hurricane Ike (Sept 2008)

Currently provided to NWS/NHC via MOA

Private Sector End User

NRC Report: A Network of NetworksSignificant 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.

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