Download - U.S. IOOS & the Ocean.US Modeling Initiative
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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
NOAANavyNSFEPA
NASA
USACEUSGSUSCGMMSDOE
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GOOSIOOS
IEOS GEOSS
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Welcome to theAcronym Jungle
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1998 Congress Called forIntegrated 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 Goals3
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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
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Ocean.USThe 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
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“Airlie House” WorkshopMarch 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
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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
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Satellites
Aircraft
Fixed Platforms
Ships
Drifters & Floats
AUVs
Metadata standards
Datadiscovery
Data transport
Online browse
Data archival
ClimateClimate
Natural HazardsNatural Hazards
SecuritySecurity
Public HealthPublic Health
Ecosystem HealthEcosystem Health
ResourcesResources
DecisionSupport
Tools
Currents &Waves
Water level
Coastalinundation
Waterbornepathogens
PopulationDynamics
EcosystemDynamics
IOOS is an “End–to–End” SystemEfficiently Link 3 Subsystems
Observing –Data Telemetry
IntegratedDMAC
ModelingAnalysis
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Marine ServicesMarine Services
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Observing & Data Telemetry SubsystemMulti–Scale System
Resolution
Low
High
CCal Caribb
MAB
GLsNE
SE
GoMexS
Cal
PacNW
Ak
Coastal OceanComponent
NationalBackbone
RegionalObservingSystems
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Global Ocean Component
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Coastal Component ofthe 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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www.ocean.us
First Development Plan
Completed by Ocean.US
December 2004
Approved at Cabinet level by the
Interagency Committee onOcean 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
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The 1st 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.
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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
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MAST MembersChairman: 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)
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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:
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IOOS Community Modeling Workshop28 – 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
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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
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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 WeatherMarine OpsHurricanes
Ecosystem – BasedManagement
Investments in R & D
Op
erat
ion
al
Cap
abil
itie
s
OperationalStatus High
OperationalStatus Low
Public HealthWater Quality
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InformedDecisions
Design of an End– to– End
System
7 IOOSSocietal
Goals
Analysis &Modeling
DMAC
Observations &Data Telemetry
Research&
Development
ImproveOperationalCapabilities
EnableScience
CoordinatedDevelopment of
an IntegratedSystem
ResearchPriorities
UsersRequirements
Ocean.US & RAaPlan & Coordinate
Federal Agencies & RAsImplement
Data &Information
IOOS
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Committee on Ocean PolicyChair CEQ
(Cabinet Level)
Interagency Committee onOcean Science &
Resource ManagementIntegration (ICOSRMI)
Co-Chairs: OSTP & CEQ
JSOST SIMOR
ORRAPNSC PCC
GlobalEnvironment
Ocean.USNFRA
IWGOO
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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