super-regional modeling testbed to improve models of environmental processes

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Super-Regional Modeling Testbed to Improve Models of Environmental Processes for the U.S. Atlantic and Gulf of Mexico Coasts Elizabeth Smith Coastal Research Program Manager Southeastern Universities Research Association MACOORA Annual Meeting 2010 Steven’s Institute of Technology October 28-29, 2010 Super-Regional Modeling Testbed

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Super-Regional Modeling Testbed to Improve Models of Environmental Processes for the U.S. Atlantic and Gulf of Mexico Coasts Elizabeth Smith Coastal Research Program Manager Southeastern Universities Research Association MACOORA Annual Meeting 2010 Steven’s Institute of Technology - PowerPoint PPT Presentation

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Page 1: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

Super-Regional Modeling Testbed to Improve Models of Environmental Processes for the U.S. Atlantic and Gulf of Mexico Coasts

Elizabeth Smith

Coastal Research Program Manager

Southeastern Universities Research Association

MACOORA Annual Meeting 2010Steven’s Institute of Technology

October 28-29, 2010

Super-Regional Modeling Testbed

Page 2: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

SURA’s Mission: To advance nuclear physics, information technology, and

facilitate better understanding of coastal and environmental phenomena that impact our lives.

Super-Regional Modeling Testbed

Page 3: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

Recommended by the IOOS Modeling and Analysis Steering Team (Mooers, MAST Chair)

The testbed will allow scientists to share models, observations and tools needed to elucidate, prioritize and ultimately link models so they can be used in an interoperable manner.  

The objectives are to:•Evaluate and improve research models;

•Evaluate/improve models already in operational use;

•Assess system performance of models;

•Develop a blueprint, and facilitate the transition of promising models/tools/metrics to Federal operational centers;

Super-Regional Modeling Testbed

Page 4: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

1. $4 million grant from NOAA, through IOOS, to SURA

2. One-year demonstration project to create a testbed to evaluate models and improve marine predictions of coastal inundation and hypoxia

3. 64 individuals, 20 Universities, Industry and direct involvement by the primary Federal operational Centers

4. Goal: to determine “best practices” for comparing models, identify the metrics, and develop a blueprint for transition to operations

Super-Regional Modeling Testbed

…....at a glance

Page 5: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

Super-Regional Modeling Testbed

Page 6: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

Testbed Advisory and Evaluation Group (TAEG) – led by Rich Signell, USGS

Testbed Teams

• Coastal InundationRick Luettich, University of North Carolina Chapel Hill

• Shelf HypoxiaJohn Harding, Mississippi State University

• Estuarine HypoxiaCarl Friedrichs, Virginia Institute of Marine Science/

College of William&Mary

• CyberinfrastructureEoin Howlett, Applied Science Associates

IOOS & SURA

Sharing “Management”

Page 7: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

Coastal Inundation

in Gulf of Maine &

Gulf of Mexico

Team Lead: Rick Luettich, University of North Carolina-Chapel Hill

Participants: Bedford Inst. Ocean; LSU; NOAA/NCEP, NHC, CSDL; UNC-CH; VIMS/Wm & Mary; Notre Dame; U South Florida; U Florida; U Mass.-Dartmouth; USACE

Super-Regional Modeling Testbed

Models: SLOSH, FVCOM, SELFE, ADCIRC, SWAVE, unSWAN, WWIII

Page 8: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

Model grid for Scituate, Massachusetts

Page 9: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

IT Support for Super Regional Coastal Modeling Test Bed

Queen Bee

SURA has secured High Performance Computing resource allocations on TeraGrid (NSF) and LONI systems (500,000 service units to date) and has assisted researchers with initial access.

Super-Regional Modeling Testbed

Inundation testbed for the Gulf of Mexico

Page 10: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

Estuarine Hypoxia in

Chesapeake Bay

Super-Regional Modeling Testbed

Team Lead: Carl Friedrichs, VIMS

Participants•NOAA/NOS/CSDL,

NOAA/NCBO, EPA, USACE

•MARCOOS

•Ches. Res. Consort.

•Univ. Colorado

•Univ. Maryland

•VIMS/Wm & Mary

•Rutgers Univ.

•Old Dominion Univ

ModelsCBOFS, CH3D, ROMS,

ChesROMS, EFDC, SELFE,FVCOM

Page 11: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

Shelf Hypoxia

Gulf of Mexico

Super-Regional Modeling Testbed

Team Lead: John Harding,

MSU/Northern Gulf Inst.

Models

ROMS,

CSDL-

NGOM,

NCOM,

GoM HyCOM

Participants

Dalhousie University

Naval Research Lab

Mississippi State

NOAA/NOS/CSDL

VIMS/Wm & Mary

Texas A & M

Univ. Delaware

Florida State Univ.

Page 12: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes
Page 13: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

Cyberinfrastructure Support for All Modeling TeamsTeam Lead: Eoin Howlett, Applied Science Associates

Participants

Applied Science Asc

Deltares USA Inc.

Texas A & M

Gulf of Maine R.I.

VIMS/Wm & Mary

U. Alabama-Huntsville

University of Florida

U.S. Army Corps Eng.

UNC-Chapel Hill

GCOOS, SECOORA, NERACOOSModel Testbed Web site with Model Catalog

Page 14: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

The Testbed teams are working together to improve models that forecast inundation and hypoxia for the Atlantic and Gulf coasts –

Super-Regional Modeling Testbed

and will be ready to transfer the “lessons learned” to address new environmental research questions and to expand existing knowledge to new geographic regions.

Page 15: Super-Regional Modeling Testbed to  Improve Models of Environmental Processes

Questions?

Thanks…

Liz Smith

[email protected]

testbed.sura.org

Super-Regional Modeling Testbed

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