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Cooperative Institute for Oceanographic Satellite Studies (CIOSS) Executive Board Meeting August 30, 2005 1 Cooperative Institute for Oceanographic Satellite Studies (CIOSS) Executive Board Meeting August 30, 2005 1

Three perspectives – JSOST, IOOS, and NOS Dr. Richard W. Spinrad • Co-Chair - Three perspectives – JSOST, IOOS, and NOS Dr. Richard W. Spinrad • Co-Chair - White House Joint Subcommittee on Ocean Science and Technology • NOAA Executive Committee of Ocean. US • Assistant Administrator, NOAA’s National Ocean Service 2

JSOST Recent Activities • Ocean Research Priorities Framework – April 5, 2005: Submitted and JSOST Recent Activities • Ocean Research Priorities Framework – April 5, 2005: Submitted and approved by the Committee on Ocean Policy – December 2006: Plan and Implementation Strategy due • Input for the FY 2007 OMB/OSTP Research and Development Priorities Memorandum • Oceans and Human Health – Coordinate activities with Joint Subcommittee on Health and the Environment – Oceans and Human Health Act of 2004 • IOOS Governance – Review of IOOS Development Plan – Responding to IOOS legislation • Input on proposed NOPP Legislation 3

Issue: We are limited and poorly coordinated with respect to environmental data supporting fundamental Issue: We are limited and poorly coordinated with respect to environmental data supporting fundamental societal needs 4

Integrated Ocean Observing System 5 Integrated Ocean Observing System 5

All IOOS Societal Goals Are Integral to All NOAA Mission Goals 1) Improve predictions All IOOS Societal Goals Are Integral to All NOAA Mission Goals 1) Improve predictions of climate change and weather and their effects on coastal communities and the nation; 2) Improve the safety and efficiency of marine operations; 3) Mitigate the effects of natural hazards; 4) Improve national and homeland security; 5) Reduce public health risks; NOAA Mission Goals CLIMATE WEATHER AND WATER COMMERCE AND TRANSPORTATION 6) Protect and restore healthy coastal marine ecosystems; and 7) Enable the sustained use of marine resources. ECOSYSTEMS 6

Customers Coastal Management Resource Management Emergency Management – – – Regulatory agencies Pilots Associations Customers Coastal Management Resource Management Emergency Management – – – Regulatory agencies Pilots Associations Ports Emergency responders Wildlife agencies Protected areas Planning councils Fishermen Boaters Research organizations State Sea Grants 7

Priority Management Issues and Technologies 2004 Coastal States Organization 8 Priority Management Issues and Technologies 2004 Coastal States Organization 8

Remote Sensing Capability Preferences for Remote Sensing Data Forms of Data Hardcopy Derived Products Remote Sensing Capability Preferences for Remote Sensing Data Forms of Data Hardcopy Derived Products Geo-rectified Digital imagery Explanatory Documents Raw Digital Data 2002 Coastal Services Center Management Survey Use (%) 92 82 78 68 45 Prefer (%) 30 55 59 27 8 9

Monitoring and Forecasting Harmful Algal Blooms Operational NOAA/NOS system in Gulf of Mexico; Federal/state/academic/commercial Monitoring and Forecasting Harmful Algal Blooms Operational NOAA/NOS system in Gulf of Mexico; Federal/state/academic/commercial collaboration Impact evaluation Mooring Data Products: Bulletins to state & local managers with Condition Report on public website Models Satellite imagery Field sampling (targeted with imagery) 10 Orbimage Sea. Wi. FS

Fisheries Habitat q Define loggerhead and leatherback habitats Adjust fishing regulations for longliners q Fisheries Habitat q Define loggerhead and leatherback habitats Adjust fishing regulations for longliners q SST, phytoplankton, and depth layers in combination may provide insight into sea turtle location q Chris Orphanides and Grayson Wood 11

Seagrass Habitat Change 1986 Satellite reflectance data to model seagrass habitats and determine current/future Seagrass Habitat Change 1986 Satellite reflectance data to model seagrass habitats and determine current/future impacts on Marine Sanctuary seagrass beds 1992 12

Seagrass Habitat Change Sea Grass changes from 1985 to 2003 13 Seagrass Habitat Change Sea Grass changes from 1985 to 2003 13

Coastal Erosion Dynamic Ht Trends vs Tide Gauge Sea Level Trends (San Francisco, San Coastal Erosion Dynamic Ht Trends vs Tide Gauge Sea Level Trends (San Francisco, San High Frequency RADAR - Surface Currents and Sediment Transport Diego, Honolulu, Balboa) 20 th Century Sea Level Rise Tide Gauges: 2. 1 mm/yr Hydrographic Observations: 0. 5 mm/yr Raw ocean surface current velocities averaged over three hours. 14

Coastal Erosion • Height Modernization Elevation control Provides true sea level rise by colocating Coastal Erosion • Height Modernization Elevation control Provides true sea level rise by colocating GPS and tide gauges 15

Coastal Erosion VDatum and Creation of Digital Elevation Models The tidal model is combined Coastal Erosion VDatum and Creation of Digital Elevation Models The tidal model is combined with geoid and ellipsoid models to create VDatum Bathymetry and topography may then be seamlessly blended into a consistent DEM Geoid Model Tidal Model Ellipsoid Model Bathy/Topo Digital Elevation Model Topography Bathymetry VDatum 16

User Challenges End users want: • Regional data for local interpretation • All information User Challenges End users want: • Regional data for local interpretation • All information in one place • Validation of information • Expert analysis • Fast and Accurate 17

IOOS Challenges Requirements • Diverse requirements and goals • Diverse customer needs • Data IOOS Challenges Requirements • Diverse requirements and goals • Diverse customer needs • Data management and Communications • Gaps in the observations data coverage Integration • Integrating diverse, single purpose capabilities and capacities • Creating smart Interoperability • Creating decision support tools Research • Integrating sensors and data • Linking observations to applications efficiently • Data fusion and assimilation 18

Challenge of Data Assimilation Quik. SCAT SST Salinity (Lynch et al. 2000) 19 Challenge of Data Assimilation Quik. SCAT SST Salinity (Lynch et al. 2000) 19

Interoperability - Open. IOOS. org 1 2 Hurricane Katrina 1 – next slide 2 Interoperability - Open. IOOS. org 1 2 Hurricane Katrina 1 – next slide 2 – following slide 8/26/05 – 2: 00 PM UTC 20

Interoperability - Open. IOOS. org 21 1 – next slide = Wave Height during Interoperability - Open. IOOS. org 21 1 – next slide = Wave Height during Hurricane Katrina

Interoperability - Open. IOOS. org 22 2 – following slide = Water Level Observation Interoperability - Open. IOOS. org 22 2 – following slide = Water Level Observation v. Prediction during Hurricane Katrina

Interoperability - Open. IOOS. org Real Time Winds Hurricane Katrina 23 Interoperability - Open. IOOS. org Real Time Winds Hurricane Katrina 23

Take Home Messages • Wide diversity of user needs • Abundant research opportunities • Take Home Messages • Wide diversity of user needs • Abundant research opportunities • Remote sensing fills critical niche in IOOS 24

Questions? 25 Questions? 25

Back Up Slides 26 Back Up Slides 26

JSOST Backups 27 JSOST Backups 27

Joint Subcommittee on Ocean Science and Technology • President’s Ocean Action Plan revised name Joint Subcommittee on Ocean Science and Technology • President’s Ocean Action Plan revised name and membership – December 17, 2004 • Provide advice to the Committee on Science and the Committee on Environment and Natural Resources on national ocean S&T issues • Forum for discussion and coordination among Federal agencies involved with ocean S&T • Co-chairs: Ø Margaret Leinen, NSF Ø Richard Spinrad, NOAA Ø David Halpern, OSTP 28

Approved Ocean Action Plan Ocean (OAP) Governance 29 Approved Ocean Action Plan Ocean (OAP) Governance 29

JSOST Ocean Observations IWG [Chair: NOAA] Ocean Infrastructure IWG Chair: Navy Ocean Education IWG JSOST Ocean Observations IWG [Chair: NOAA] Ocean Infrastructure IWG Chair: Navy Ocean Education IWG Chair: NSF Harmful Algal Blooms, Hypoxia and Human Health IWG [Chair: NOAA] Ocean and Coastal Mapping IWG [Chair: USGS] Partnership Funding IWG [Chair: Navy] 30

Views letter slides 31 Views letter slides 31

Administration and Department of Commerce views on S. 361 April 18, 2005 The administration, Administration and Department of Commerce views on S. 361 April 18, 2005 The administration, through the Joint Subcommittee on Ocean Science and Technology … is currently working to address this issue. However, for the purposes of implementation and operation of IOOS, the Department and the Administration recognize the importance of having a clear point of accountability. As such, the Department and the Administration believe that the National Oceanic and Atmospheric Administration should be the lead federal agency for the administration and implementation of IOOS. 32

Administration and Department of Commerce views on S. 361 April 18, 2005 Consistent with Administration and Department of Commerce views on S. 361 April 18, 2005 Consistent with the Ocean Action Plan, interagency coordination is essential for all ocean science and technology priorities and policy and in particular for planning and implementation for an Integrated Ocean Observing System (IOOS). As such an interagency body should provide high level oversight for the IOOS and an interagency program office should develop plans and requirements for that interagency body’s ultimate approval. 33

Administration and Department of Commerce views on S. 361 April 18, 2005 The Department Administration and Department of Commerce views on S. 361 April 18, 2005 The Department opposes directing any specific percentage or amount of appropriations for the IOOS to regional associations… 34

Altimetry Jason-1 + Scatterometry = SURFACE CURRENTS Quik. SCAT Surface Current Anomalies Nov 26, Altimetry Jason-1 + Scatterometry = SURFACE CURRENTS Quik. SCAT Surface Current Anomalies Nov 26, 2002 Dec 26, 2002 Jan 26, 2003 35

Sea. Wi. FS-derived Global Shallow Water Database - NOS depth estimation algorithm Florida - Sea. Wi. FS-derived Global Shallow Water Database - NOS depth estimation algorithm Florida - Implemented globally by NASA Goddard Identifies problems and fills gaps in global coral reef database maintained by U. N. Environmental Program/ World Conservation Center (UNEP/WCMC) 36

Ecosystem Health and Recovery Sea. Wi. FS chlorophyll image Sep 23, 1999 Use satellite, Ecosystem Health and Recovery Sea. Wi. FS chlorophyll image Sep 23, 1999 Use satellite, aircraft and shipboard data to improve algorithms in coastal areas Shipboard data stations (circles) Aircraft lidar tracks 37

Ocean Surface Winds Passive Polarimetry Synthetic Aperture Radar (SAR) Coastal/Topographic Wind Effects observed with Ocean Surface Winds Passive Polarimetry Synthetic Aperture Radar (SAR) Coastal/Topographic Wind Effects observed with Quik. SCAT and SAR 1999 Dec 22 0611 UTC 2000 Feb 18 0318 UTC Barrier Jets 1999 Dec 22 0441 UTC 38

Challenge of Nesting Models Open ocean models as forcing for shelf domains http: //hycom. Challenge of Nesting Models Open ocean models as forcing for shelf domains http: //hycom. rsmas. miami. edu/ 39