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U.S. IOOS & the Ocean.US Modeling Initiative Background & the Mission of Ocean.US IOOS Conceptual Design Status of Implementation Ocean.US Modeling Initiative NOAA Navy NSF EPA NASA USACE USGS USCG MMS DOE
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GOOS IOOS IEOS GEOSS 2 Welcome to the Acronym Jungle
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1998 Congress Called for Integrated Ocean Observing System (IOOS) Routinely Provide Data/Info Required for More Rapid Detection & Timely Prediction of State Changes Improve the safety & efficiency of marine operations Improve national/homeland security Improve forecasts of natural hazards and mitigate their effects more effectively Improve predictions of climate change & their effects Minimize public health risks Protect & restore healthy coastal marine & estuarine ecosystems more effectively Sustain living marine resources 1 System, 7 Societal Goals 3
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2004 U.S. Commission on Ocean Policy Implement an Integrated Ocean Observing System (IOOS) Make more effective use of existing resources Enhance operational capabilities over time to address 7 societal goals Ecosystem – Based Management Strengthen Regional Approach As a means of implementing ecosystem–based management 4
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Ocean.US The National Office for Integrated & Sustained Ocean Observations Established in 2000 by NOPP to Prepare & maintain IOOS Development Plans based on data requirements of user groups, Coordinate integration of IOOS elements, including harmonizing regional & national development of the system, & Function as the focal point for national & international development of ocean observing systems. Ocean.US Leadership Current Director: Mary Altalo (1 January, 2006) Past Directors: David Martin, Eric Lindstrom, Tom Malone www.ocean.us 5
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“Airlie House” Workshop March 2002 IOOS Design Principles Priority Products & Services for each of the 7 Societal Goals IOOS Conceptual Design Began Process of Specifying observing system requirements DMAC the Highest Priority Estimated New Funding for Implementation $138 M Yr 1 $500 M Yr 5 6
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IOOS Design Principles Provide data & information needed to address all 7 societal goals by implementing & sustaining an IOOS that is Responsive to the needs of decision makers, End – to – End Multi–scale, Multidisciplinary & Multipurpose Serve data & information at rates & in forms required by decision makers in each of the 7 societal benefit areas. Make more effective use of existing assets to Efficiently link observations & modeling through Integrated data management & communications Build on, improve & enhance existing capabilities over time Enable users from both private & public sectors to contribute to & benefit from IOOS data & information Adopt & implement national standards & protocols for Measurements & data telemetry, Data management & communications, & Modeling & analysis Implement performance measures for all of the above 7
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Satellites Aircraft Fixed Platforms Ships Drifters & Floats AUVs Metadata standards Data discovery Data transport Online browse Data archival Climate Natural Hazards Security Public Health Ecosystem Health Resources Decision Support Tools Currents & Waves Water level Coastal inundation Waterborne pathogens Population Dynamics Ecosystem Dynamics IOOS is an “End–to–End” System Efficiently Link 3 Subsystems Observing – Data Telemetry Integrated DMAC Modeling Analysis 8 Marine Services
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Observing & Data Telemetry Subsystem Multi–Scale System Resolution Low High C Cal Caribb MAB GLs NE SE Go Mex S Cal Pac NW Ak Coastal Ocean Component National Backbone Regional Observing Systems 9 Global Ocean Component
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Coastal Component of the IOOS Operated by NOPP Agencies RAs EEZ & Great Lakes Core variables Required by regions Networks Sentinel stations Reference stations Standards/Protocols QAQC, DMAC Products Based on data & info requirements of users Regional Associations Design & Manage Resolution Variables Estuaries, Great Lakes, EEZ Incorporate Subregional systems Elements thereof Regional COOS’s National Backbone
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11 www.ocean.us First Development Plan Completed by Ocean.US December 2004 Approved at Cabinet level by the Interagency Committee on Ocean Science & Resource Management (ICOSRMI) January 2006
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DMAC Plan Completed & Approved in 2005 Provides a Road Map for Implementing Interoperable Mechanisms that Enable Rapid access to diverse data From many sources With the completion of the DMAC plan, Ocean.US is turning its attention to The Modeling & Analysis Subsystem 12
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The 1 st IOOS Development Plan calls for a modeling effort that will Improve, develop, test & validate operational models for all seven societal goals; Produce more accurate & comprehensive estimates of current states of the marine environment, ecosystems & living resources; Improve, develop & apply data assimilation techniques to initialize & update models for more accurate forecasts of state changes; & Optimize the observing subsystem to achieve these objectives The broad objective is to tune the delivery of model-derived products to the time-space scales on which decisions need to be made to achieve the societal goals. 13
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Next steps Promote synergy between research & operational modeling activities Promote improvements in existing operational models Enable development of operational modeling capabilities in goal areas where none now exist Engage Federal Agencies, RAs & other stakeholders in the design & implementation of the modeling & analysis subsystem of IOOS Establish a Modeling & Analysis Steering Team (MAST) to Address these Objecives 14
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MAST Members Chairman: Chris Mooers Co – Chairs: C.J. Beegle – Krause & Frank Aikman Climate & Marine Meteorology Michele Reinecker (NASA) Steve Payne (Navy) Fred Toepfer (NOAA) Coastal Circulation, Inundation & Waves Frank Bub (Navy) Dale Crockett (TX WDB) Eoin Howlett (ASA) Richard Luettich (UNC) John Harding (Navy) Watershed Hydrology Richard Alexander (USGS) Biogeochemistry Jorge Sarmiento (Princeton) Ecosystem Dynamics Fisheries & Water Quality Carl Cerco (USACE) John Wilkin (Rutgers) Eileen Hofmann (ODU) Anne Hollowed (NOAA) 15
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Mission of MAST Enhance collaboration between operational & research modeling groups Establish & maintain an inventory of operational & research modeling capabilities relevant to addressing the 7 societal benefits Assess performance & skill of existing & emerging operational capabilities in terms of user needs & recommend improvement Develop community consensus for a research agenda that will help improve operational modeling capabilities Facilitate transitions of models & model improvements from research to operational use Assess & recommend improvements to the observing & DMAC subsystems through the use of test beds & OSSEs/OSEs Explore the use & efficacy of Community Modeling Networks as a mechanism for achieving these objectives Work with the NOPP, Federal Agencies & other groups as appropriate to attract the required funding Prepare a 5 – Year Strategic Plan with a Prioritized Action Plan & Budget to Achieve The Following Objectives: 16
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IOOS Community Modeling Workshop 28 – 29 November 2006 Objectives Review present status of operational global & coastal models Identify R&D needed to advance operational modeling for all 7 societal goals Provide guidance for preparing the MAST Strategic Plan Provide guidance for the MAST CY 07 Action Plan Deliverables Annotated outline of the MAST Strategic Plan Recommend short– & long–term priorities for MAST activities Workshop Proceedings 17
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RCOOS/ORION Science and Technology Workshop 2007 Organizing Committee Physical Oceanography, Chris Mooers/RSMAS (SEACOOS/MAST) Marine Biogeochemistry, Rick Jahnke/SKIO (SEACOOS/ORION) Marine Ecology, Mark Moline/CalPoly (CENCOOS & SCCOOS/ALPS) Issues Developing the network of sustained observations needed to meet data requirements of models for all 7 societal goals Building scientifically sound operational IOOS capabilities Participants 3 experts from each RA Coastal physical oceanographer or meteorologist, biogeochemist, & marine ecologis Representatives from DMAC, MAST & ORION Tentative Objectives: Consensus on The scientific questions that need to be answered to enable credible & periodic estimates of the State of the Coastal Ocean regionally? The critical missing observational & modeling capabilities & priorities for filling them? How RAs/RCOOSs & ORION/OOI can best collaborate to enable synergy between IOOS & major ocean research programs 18
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THANK YOU
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Societal Goals & Example Products Used to Determine Observing System Requirements Climate Prediction Annual estimates of regional–global sea level changes w/ error bars Annual quantitative assessments of the impact of global warming on the frequency & magnitude of tropical & extra–tropical stomrs Maritime Operations & National/Homeland Security Hourly mesoscale nowcasts & 72 hr forecasts of water levels & 3–D current, temperature & salinity fields Hourly mesoscale nowcasts & 72 hr forecasts of sea surface vector wind & wave fields & surf conditions Natural Hazards Hourly 72 hr forecasts of the time–space extent of coastal flooding caused by tsunamis, tropical storms & extratropical storms Annual assessments of changes in resilience of coastal populations & infrastructure to coastal flooding Public Health Hourly nowcasts & 72 hr forecasts of plumes from large permitted dischargers Hourly 72 hr forecasts of impacts of HABs on coastal habitats, living marine resources & human health Ecosystem Health Annual quantitative assessments of the condition of coastal ecosystems in terms of (i) habitat & species diversity; (ii) water quality; & (iii) near shore bathymetry–topography Annual assessments of the effects of global warming on the condition of coastal ecosystems as quantified above Living Marine Resources Annual estimates of recruitment rates for exploitable fish stocks w/ error bars Annual assessments of the efficacy of Marine Protected Areas in terms of the extent & condition of habitats & the abundance & distribution of living resources 20
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Existing Operational Capabilities Marine Weather Marine Ops Hurricanes Ecosystem – Based Management Investments in R & D Operational Capabilities Operational Status High Operational Status Low Public Health Water Quality 21
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Informed Decisions Design of an End– to– End System 7 IOOS Societal Goals Analysis & Modeling DMAC Observations & Data Telemetry Research & Development Improve Operational Capabilities Enable Science Coordinated Development of an Integrated System Research Priorities Users Requirements Ocean.US & RAa Plan & Coordinate Federal Agencies & RAs Implement Data & Information IOOS 22
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Committee on Ocean Policy Chair CEQ (Cabinet Level) Interagency Committee on Ocean Science & Resource Management Integration (ICOSRMI) Co-Chairs: OSTP & CEQ JSOSTSIMOR ORRAP NSC PCC Global Environment Ocean.USNFRA IWGOO 23 President’s Ocean Action Plan
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Observing Requirements: Remote Sensing Sustain & Improve Satellite Time-Series Surface winds, temperature, waves, currents Sea surface height Ocean color
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~ 50 % Implemented Global Coastal
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