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U.S. Integrated Ocean Observing System (IOOS ® )

A tool that enables the Nation to track, predict, manage and adapt to changes in our marine environment and delivers critical information to decision makers to…. U.S. Integrated Ocean Observing System (IOOS ® ). Improve safety. Enhance our economy. Protect our environment. Zdenka Willis

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U.S. Integrated Ocean Observing System (IOOS ® )

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  1. A tool that enables the Nation to track, predict, manage and adapt to changes in our marine environment and delivers critical information to decision makers to… U.S. Integrated Ocean Observing System (IOOS®) Improve safety Enhance our economy Protect our environment Zdenka Willis Director, US IOOS Program Office GEO User Engagement Session – 15 Nov 2011

  2. U.S. IOOS: Program Overview Global Component Coastal Component (EEZ to the head of tide) 12 • 7 Goals, 1 System • Improve predictions of climate changeand weather • Improve the safety and efficiency of maritime operations • Improve forecasts of natural hazards • Improve homeland security • Minimize public health risks • Protect and restore healthy coastal ecosystems • Sustain living marine resources Enhances science and improves decision making

  3. Global Component: Global Ocean Observing System for Climate Total in situ networks 61% 87% 100% 59% 81% 100% 62% 73% 48% 34%

  4. Coastal Component • Comprised of federal agencies (National level) and non-federal (Regional level) • Geographic extent: EEZ to the head of the tide • Based on 26 variables • Data Management and Communications (DMAC) is a major focus that is intended to be enterprise wide from National to Regional scales

  5. Examples of National Observing Networks • Stakeholders • > 30 institutions operate HF Radars; • Used by >40 government/private entities • Industry Partner: US-based CODAR Ocean Sensor • Who Depends on it • Coast Guard : Search &Rescue: Oil spill • Water quality; Criminal forensics • Commercial marine navigation • Offshore energy; Harmful algal blooms • Marine fisheries • Emerging – Tsunami Decreases search area by 66% in 96 hours

  6. Examples of National Observing Networks

  7. OOI – Research and Development Component

  8. Data Integration - Community NANOOS is a community of people that provides data through one place for quicker decision-making. The value of NANOOS 1 • Washington Dept of Ecology • Oceanic Remote Chemical-optical Analyzer (ORCA) • USGS • University of Washington – Applied Physics Lab • NOAA National Data Buoy Center • King County • NOAA National Ocean Service • IntelliCheckMobilisa • Hood Canal Dissolved Oxygen Program 2 3 2 4 8 9 5 6 7 1 6 2 6 6 2 6 7 3 3 4 7 1 3

  9. Data Integration – Regional to National U.S. National Data Buoy Center

  10. U.S. IOOS®: Modeling Testbed • 5 teams, 64 scientists/analysts • SURA is overall lead for execution • Began in June 2010; now in the second year • Multi-sector engagement (federal agency, academia, industry) • Goals: • Less about model than process • Focus is on stable infrastructure (testing environment, tools, standard obs) and transition to operations • Enable Modeling and Analysis subsystem Coastal Inundation Gulf & Atlantic Coast Rick Leuttich, UNC-CH Shelf Hypoxia Gulf of Mexico John Harding, USM Estuarine Hypoxia Chesapeake Bay Carl Friedrichs, VIMS Cyber Infrastructure Eoin Howlett, ASA Testbed Advisory Evaluation Group Rich Signell, USGS

  11. Surge, Waves and Inundation Team Results • Development of common Testbed infrastructure • Data Archiving • Model development/ Enhancement • Additional Computer Run time • Skill Analysis Gulf of Maine / Scituate Harbor - Extratropical Domain

  12. Shelf Hypoxia Team Results • Improving Collaboration • Improving Data • Model Development  • Supporting Operations

  13. Estuarine Hypoxia Results • Transitioning information to federal agencies • Model Comparison • Conducting sensitivity experiments • New, single term hypoxia model Five Hydrodynamic Models Configured for the Chesapeake Bay CH3D Cerco & Wang USACE EFDC Shen VIMS UMCES-ROMS Li & Li UMCES ChesROMS Long & Hood UMCES CBOFS (ROMS) Lanerolle & Xu NOAA

  14. Cyber Infrastructure Team Results • Interactive Web Site: browse model results, view model grid data, side by side comparisons, and MUCH MORE • Unstructured Grid Support: Time series extraction completed for FVCOM, SELFE, ELCIRC, ADCIRC. • Matlab Toolbox: standardized data transformations, new methods for comparing data (including unit conversion). Coordination with OOI-CI • Matlab as a Web Service: Matlab processes - no desktop license required. • Skill Assessment Tools: Measure the degree of correlation between model prediction and observations • Collaborative Web Site: public/private access to portal, content organization with internal/external tools.

  15. International buoy program Tsunami wave at DART Station 21418 located 470n mi northeast of Tokyo. Largest peak 1.8M Responding to Crisis: Japan Tsunami Warning Graphic courtesy NOAA / PMEL / Center for Tsunami Research

  16. Responding to Crisis: Japan Tsunami Response • CeNCOOS: • Recorded the tsunami passage with U.S. IOOS sensors • Five-fold increase in web traffic • NANOOS: • Featured “Tsunami Evacuation Zones for the Oregon Coast” application • NANOOS Visualization System provided easy access to current and water height data • Four-fold increase in web traffic • PacIOOS: • Provided the only real-time water level and turbidity measurements for Waikiki • Ten-fold increase in web traffic

  17. Using Social Media to reach out in new ways Types of Information: Initial info including link to tsunami portal; graphs of water level for various locations; synthesis information Facebook: = Posts = Tsunami event www.facebook.com/NANOOS.PNW

  18. Beach Water Quality Predictive Modeling Beach Water Quality Predictive Modeling

  19. Beach Water Quality Predictive Modeling US IOOS Project

  20. Beach Water Quality Predictive Modeling Data Assimilation Integration of Data from multiple sources Fieldprograms Observing systems Remote sensing / Models • Salinity • Air/water temperature • Rainfall • Currents • Wave activity • Bacteria density • Salinity • Air/water temperature • Tide • Weather • Rainfall • Currents • Salinity • Wind

  21. Results • "This model has reduced the sampling burden for our Regional staff; but the major benefit has been the Department's quicker response time for posting beach advisories and subsequent enhancement of our agency's primary mission of protecting the public health.“ • David E. Tilson, PE, Chief, Bureau of Water, South Carolina Department of Health and Environmental Control (SCDHEC)

  22. U.S. IOOS®: Education and Outreach

  23. U.S. IOOS® : A National Endeavor but in a Global Context • Comprehensive system • Data Integration critical • Sustaining the enterprise requires engagement by all

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