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U.S. IOOS Coastal Ocean Modeling Testbed. IOOS COASTAL OCEAN MODELING TESTBED (COMT). Rick Luettich, University of North Carolina at Chapel Hill Don Wright, Liz Smith, Southeast Univ. Research Association (SURA) Becky Baltes, NOAA Integrated Ocean Observing System Office - PowerPoint PPT Presentation
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22 July 2013
U.S. IOOS Coastal Ocean Modeling Testbed
IOOS COASTAL OCEAN MODELING TESTBED (COMT)
Rick Luettich, University of North Carolina at Chapel Hill
Don Wright, Liz Smith, Southeast Univ. Research Association (SURA)Becky Baltes, NOAA Integrated Ocean Observing System Office
Rich Signell, US Geological Survey
COMT BeginningCOMT Beginning
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“Certain ocean prediction system development and evaluation activities involve federal, academic and private sector participants,…….Examples include: …..; design and operation of model testbeds (“model evaluation environments”);…”
Ocean.US. 2008. The Integrated Ocean Observing System (IOOS) Modeling and Analysis Workshop Report, Ocean.US Publication No. 18, 21 pp.
COMT MissionCOMT Mission
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Targeted R&D to accelerate the transfer of scientific and technical advancements to improved operational products and services
COMT MissionCOMT Mission
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Targeted R&D to accelerate the transfer of scientific and technical advancements to improved operational products and services
•Research to Operations
COMT MissionCOMT Mission
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Targeted R&D to accelerate the transfer of scientific and technical advancements to improved operational products and services
•Research to Operations•Operations to Research
COMT CharacteristicsCOMT Characteristics
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• Operational broadly interpreted = predictive?• Quantitative data on the behavior and implementation
requirements of models• Organized archive of observations, model inputs and model
results• Tools that leverage or define community standards - efficient
access, visualization, skill assessment and other evaluation of models
• Research environment where researchers and operational agencies can work together
COMT V1.0COMT V1.0
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Led by Southeast Universities Research Association (SURA)
5 teams, 64 scientists/analysts
Multi-sector engagement (federal agency, academia, industry)
started 6/1/2010
21 manuscripts submitted for JGR Special Issue 2/2013
10 accepted 7/2013
http://testbed.sura.org
Coastal Inundation
Rick Luettich, UNC-CH
Gulf & Atlantic Coast
Shelf Hypoxia
John Harding, USMKatja Fennel, UD
Gulf of Mexico
Cyber Infrastructure Eoin Howlett, ASASara Graves, UAH
Testbed Advisory
Rich Signell, USGS
Evaluation Group
Estuarine HypoxiaChesapeake Bay
Carl Friedrichs, VIMSMarjy Friedrichs, VIMS
Estuarine Hypoxia – Chesapeake BayEstuarine Hypoxia – Chesapeake BayProject Lead: Carl Friedrichs -> Marjy Friedrichs, VIMSEvaluate coupled hydrodynamic and water quality models in use or in consideration for use for operations (incl. regulation)
• 5 Hydrodynamic models• 5 Biogeochemical / DO models• Improvements in model skill for
predicting time & location of hypoxia• Ensemble mean better skill
predicting “dead zone”• Transition of simple DO
model to NOAA CSDL CBOFS model
Shelf Hypoxia – Northern Gulf of MexicoShelf Hypoxia – Northern Gulf of Mexico
Project Lead: John Harding, NGI -> Katja Fennel, DalhousieEvaluate and advance a coupled hydrodynamic and biogeochemical model for nowcast / forecasts of shelf physical and ecosystem processes.
• Improved skill in hydrologic conditions, not in dissolved oxygen
• Hypoxia sensitive to stratification and biogeochemical submodel
• Considerable sensitivity to uncertainty in physical model forcings
TAMU ROMS NOAA NGOM
NRL IASNFS NCOM NRL/FSU HYCOM
• Initiation / evolution of hypoxic events on synoptic timescales
Storm Surge / InundationStorm Surge / InundationProject Lead: Rick Luettich, UNCEvaluate the behavior and implementation requirements of coastal models of tides, surge, waves, inundation
• Models FVCOM/SWAVE SELFE/WWM ADCIRC/SWAN WWIII
• Wave-current interaction major impact on coastal circulation
Nested
• Gulf of Maine – extratropical storms in 2005, 2007, 2010• Nested unstructured grids
1.67 km
• 2D is fine, horizontal resolution is critical
Storm Surge / InundationStorm Surge / Inundation
• Models (2D & 3D) FVCOM/SWAVE SELFE/WWM ADCIRC/SWAN SLOSH/SWAN
• Significance of “Surge Forerunner” - Hurricane Ike
• Unstructured models comparable results, ADCIRC fastest & most features
• SLOSH overall fastest, least accurate
• Gulf of Mexico – hurricanes Rita (2005), Ike (2008)
Cyber-InfrastructureCyber-InfrastructureProject Lead: Eoin Howlett, ASA & Sarah Graves, UAHDevelop data standards, particularly for unstructured gridsDevelop a testbed data archive and tools
• access to observed data, forcing, model input• deliver results for model
analysis, comparison, visualization, and evaluation – NCTOOLBOX, IMEDS
• capabilities to manipulate model output on unstructured grids
• project web portal & front end for data archive
COMT 2.0 – StatusCOMT 2.0 – StatusSpring / Summer 2012
• COMT Terms of Reference – NOAA IOOS• Identification of Priorities – NOAA IOOS
December 2012• FFO by NOAA IOOS – with priorities• SURA solicited Letters of Interest, ~30 received
January 2013• SURA encouraged 16 project proposals• 14 proposals received, independently reviewed by SRAC
February 2013• 5 - 2yr projects selected for SURA’s proposal ($3.7M / 2 yrs)
May 2013• SURA responded to comments from NOAA IOOS review
June 2013• COMT approved for 2 years, probable start date 9/1/2013,
funding unspecified.
COMT 2.0 – Proposed ProjectsCOMT 2.0 – Proposed Projects
Chesapeake Bay Ecological Forecasting PI - Marjy Friedrichs (VIMS/W&M)
Integration of US West Coast Operational Coastal and Ocean Models PI - Alex Kuropov (Oregon State University).
Puerto Rico/U.S. Virgin Islands Surge and Wave Inundation Predictions PI - Andre Van der Westhuysen (NOAA/NCEP)
Northern Gulf of Mexico Ecological Forecasting PI - Katja Fennel (Dalhousie University).
“Cyberinfrastructure” PI - Eoin Howlette (ASA).