1. Super-Regional Modeling Testbed to Improve Forecasts of Environmental Processes for the U.S. Atlantic and Gulf of Mexico Coasts Wright, L.D.; Signell, R.; Friedrichs, C.; Harding, J.; Howlett, E.; Levin, D.; Luettich, R.; and Smith, E. Super-Regional Modeling Testbed to Improve Forecasts of Environmental Processes for the U.S. Atlantic and Gulf of Mexico Coasts Wright, L.D.; Signell, R.; Friedrichs, C.; Harding, J.; Howlett, E.; Levin, D.; Luettich, R.; and Smith, E. 15 February 2011 ASLO 2011 Aquatic Sciences Meeting S41 Ecological Forecasting: Progress, Challenges and Prospects

2. Southeastern Universities Research Assn (SURA) Motivation for the Testbed: Improving prediction of environmental processes Design of this Testbed Year 1 Products Future work Outline

3. SURA’s Mission: To advance nuclear physics, information technology, and facilitate better understanding of coastal and environmental phenomena that impact our lives.

4. Southeastern Universities Research Assn (SURA) Motivation for the testbed: Improving prediction of environmental processes Design of this testbed Year 1 products Future work Outline

5. Improving Forecasts of Coastal Environmental Processes Factors: – open boundary conditions, – surface and river forcing conditions, – enhanced physics, – adjustable parameters, – data assimilation, numerics, amount of data assimilated, – skill of modelers(!), – vertical and horizontal resolution, – coupling to wave and met models. “Which model is better?” is not the right question. – What factors in the simulation resulted in a better solution? – How much better? – At what cost?

6. Defining Improvement To measure improvement for environmental processes, we need to define skill metrics for specific environmental processes and often for specific region: Inundation ✔ Hypoxia ✔ Search and rescue Deep oil spills Navigation Harmful algal blooms Diver operations Alternative energy citing Beach erosion Regional impact of climate change -- ALL REQUIRE DIFFERENT SKILL METRICS! Operational centers will directly benefit from the community’s help in this process – too broad for NOAA and NAVY!

7. The ocean community needs a common cyberinfrastructure to access, analyze and display data from the different models: each model community currently has their own standards and toolsets. A Common Cyberinfrastructure for Model Data Structured Grids Unstructured Grid 5x5 6x3 10 nodes Variety of Stretched Vertical Coordinates

8. Southeastern Universities Research Assn (SURA) Motivation for the testbed: improving prediction of environmental processes Design of this testbed Year 1 products Future work Outline

9. A Testbed Framework for Coastal Ocean Models Build a common infrastructure to enable access, analysis and visualization of all coastal ocean model data produced by NOAA, NAVY and IOOS Develop skill metrics and assess models in three different regions and dynamical regimes, to ensure a robust and powerful infrastructure Identify factors that could be transitioned to operations Build stronger relationships between academia and operational centers through collaboration

10. Testbed “Management” 25 members Testbed Management Don Wright, Project PI Liz Smith, SURA Doug Levin, Program Mgr Testbed Advisory/Evaluation Group Rich Signell, USGS 7 members Testbed Teams Estuarine Hypoxia Chesapeake Bay Carl Friedrichs, VIMS 21 members Shelf Hypoxia Gulf of Mexico John Harding, MSU Shelf Hypoxia Gulf of Mexico Shelf Hypoxia Gulf of Mexico Coastal Inundation Gulf and East Coast Rick Luettich, UNC-CH Cyber Infrastructure Eoin Howlett, ASA 20 members24 members

11. Cyberinfrastructure All Regions – All Teams  Extending CI from OGC, Unidata and others (NOAA DMIT, USGS CDI) to support unstructured grids, and add functionality  Web Access via OpenDAP w/CF  Unidata Common Data Model/NetCDF Java Library API  Distributed search capability  Browser based map viewer (WMS)  Toolbox for scientific desktop analysis  All components standards-based  All components standards-based! Search services Mapping services and browse application Analyze in scientific desktop application

12. Shelf Hypoxia Gulf of Mexico Hydrodynamic & biogeochemical hindcast comparisons of hypoxia models (stand alone) coupled to 3 different Gulf of Mexico hydrodynamics models Evaluation of two shelf hypoxia formulations (NOAA & EPA) Shelf Hypoxia Gulf of Mexico Hydrodynamic & biogeochemical hindcast comparisons of hypoxia models (stand alone) coupled to 3 different Gulf of Mexico hydrodynamics models Evaluation of two shelf hypoxia formulations (NOAA & EPA) ROMS Surface and bottom water oxygen mmol O 2 m -3 By R. Hetland, K. Fennel and C. Harris

13. Estuarine Hypoxia Chesapeake Bay 1. Estuary: – 5 Hydrodynamic models – 3 Biological (DO) models – 2004 data from 28 CBP stations – Comparing T, S, max (dS/dz), DO via target diagrams 2. Shelf: OBCs 5 hydrodynamic models Estuarine Hypoxia Chesapeake Bay 1. Estuary: – 5 Hydrodynamic models – 3 Biological (DO) models – 2004 data from 28 CBP stations – Comparing T, S, max (dS/dz), DO via target diagrams 2. Shelf: OBCs 5 hydrodynamic models Models doing better on oxygen than stratification! (by M. Friedrichs) Stratification (dS/Dz) Dissolved Oxygen

14.  Inundation Extra-tropical – Gulf of Maine Tropical – Gulf of Mexico  4 models: 3 unstructured grid +1 structured grid;  Coupled wave-storm surge-inundation (total water level)  Consistent forcing, validation and skill assessment using existing IMEDS tool,  Extensive observational data sets for historical storms Ike, Rita and Gustav in standard formats,  SURA has provided supercomputer resources.  Inundation Extra-tropical – Gulf of Maine Tropical – Gulf of Mexico  4 models: 3 unstructured grid +1 structured grid;  Coupled wave-storm surge-inundation (total water level)  Consistent forcing, validation and skill assessment using existing IMEDS tool,  Extensive observational data sets for historical storms Ike, Rita and Gustav in standard formats,  SURA has provided supercomputer resources. Extratropical Grid for Scituate, MA Tropical Grids for Galveston Bay

15. Inundation Extra-tropical – Gulf of Maine Tropical – Gulf of Mexico - 4 models: 3 unstructured grid +1 structured grid - Coupled wave-storm surge-inundation (TWL) - Consistent forcing, validation and skill assessment using existing IMEDS tool -Extensive observational data sets for historical storms Ike, Rita and Gustav in standard formats -SURA has provided supercomputer resources Inundation Extra-tropical – Gulf of Maine Tropical – Gulf of Mexico - 4 models: 3 unstructured grid +1 structured grid - Coupled wave-storm surge-inundation (TWL) - Consistent forcing, validation and skill assessment using existing IMEDS tool -Extensive observational data sets for historical storms Ike, Rita and Gustav in standard formats -SURA has provided supercomputer resources Tropical Grids for Galveston Bay Interactive Modeling Evaluation and Diagnostic Systems

16. http://testbed.sura.org

17. Foundation of a cyberinfrastructure framework for search, access and display of all NOAA, NAVY and IOOS model data, via browser and scientific desktop application Skill metrics and identification of key performance factors and cost for three important dynamical regimes and environmental issues Concept of Operations for transition from research to operations Improved communication between research and operations Testbed Year 1 Products

18. Expand to more regions and problems Examine more factors (e.g. data assimilation) Build out the cyberinfrastructure Conduct training in the community Sustaining future development Future Work for the Testbed