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Part 2: Regional/Coastal Ocean Observing Systems

Part 2: Regional/Coastal Ocean Observing Systems. Presenter: Edward Kearns, UMiami/RSMAS Key Elements of these Programs: Instrumentation Deployment Realtime Data Telemetry and Distribution Ocean Modeling and Prediction Ties to Management and Policy Making.

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Part 2: Regional/Coastal Ocean Observing Systems

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  1. Part 2: Regional/Coastal Ocean Observing Systems • Presenter: Edward Kearns, UMiami/RSMAS • Key Elements of these Programs: • Instrumentation Deployment • Realtime Data Telemetry and Distribution • Ocean Modeling and Prediction • Ties to Management and Policy Making

  2. The Coral Reef Early Warning System (CREWS)Jim Hendee, Ph.D.Ocean Chemistry DivisionAOML/NOAA

  3. Coral Reef Early Warning System (CREWS) NetworkCoral Reef Watch collaboration with NESDIS, NOS and NMFSA CREWS station is a suite of meteorological and oceanographic monitoring instruments, plus the expert system software for data screening and interpretation, which provides hourly in situ data and information synthesis products.

  4. The CREWS software deployed: • Florida Keys (SEAKEYS Network), • Great Barrier Reef (AIMS Weather Station Network), • Lee Stocking Island, Bahamas, and • Salt River Bay National Historical Park and • Ecological Preserve, St. Croix; US Virgin Islands * A new station is now being installed in John Brewers Bay, St. Thomas; USVI* Next station after that will be near La Parguera, Puerto Rico

  5. Jerry Ault, RSMAS Reef Ecosystem Expedition for Fisheries (REEF) 2002

  6. Integrate into Sensor Network for Near Real-Time Detection of Planktonic Species • Remote station provides data storage, power systems, telecommunications • Data telemetry by GOES satellite to mainland • Online expert system examines data streams

  7. Goals: • Ocean Observations • Transports • RS Validation • Air-Sea Flux • Met Observations • Wind Profiles • Aerosol Sampling • Data Distribution • Outreach • Sustained, High Quality Time Series RSMAS-ONR PIs: Dr. Ed Kearns Dr. Otis Brown Dr. Peter Minnett Dr. Bruce Albrecht Dr. Hans Graber Other Investigators: Dr. Hal Maring Dr. Peter Ortner Dr. Rik Wanninkhof Mr. Doug Wilson Dr. Bill Johns Dr. Molly Baringer Royal Caribbean International University of Miami ONR NSF NOAA NASA

  8. Explorer Data Flow Weekly Archived Full Set Real time Subset Currently, only a very small subset of data are delivered in real time to science users via the NWSTG: FM-13, FM-62 (FM-36X, FM-64) TOO LIMITED! Need to develop new distribution model with new web site, DODS & SEA-COOS.

  9. Explorer of the Seas is the South-East extension of the continental SEA-COOS network …so what is SEA-COOS?

  10. SouthEast Atlantic Coastal Ocean Observing System (SEA-COOS) UNC-CH Skidaway UNC USC UMiami/RSMAS USF NCSC SCDNR SeaGrants: UF, SC, NCState Collaborators : AOML, NDBC, NOS, NCEP, NCDDC Realtime coastal ocean (EEZ) observing and data assimilation/modeling system, with ties to both science and management activities Funded by ONR for 2003

  11. HF Radar Test Bedfor SEA-COOS Nick Shay (RSMAS) • Wellen Radar (red dots) • CODAR (gray area) • RCCL Explorer Ship Tracks (solid blue) • NCORE ocean moorings (black dots) • WERA: FMCW system, 100km range, ~750 m resolution.

  12. Time Evolution of a Coherent Surface Current Vortex over a 4-hr period from OSCR in June 1999. Black Line Depicts Time-Latitude Section to Determine Translation Speed (lower panel).

  13. Chris Mooers, Inkweon Bang (RSMAS)SEA-COOS Modeling & Products SNFS SEA-COOS Nowcast/Forecast System SSRA SEA-COOS Storm Response Analysis • To systematically understand the variety of scales and processes affecting the different SEACOOS regions • SEACOOS region-wide coastal ocean response to the passage of significant winter-time extra-tropical storms in March 2001 • SSRA experience will provide initial verification information for the SNFS • Implementation of operational NFS for each domain at NCSC • Daily 24-hour nowcast/72-hour forecast • Surface fluxes from NCEP operational Eta (12 km resolution) • In the future - Data assimilation - Coupling with regional atmospheric model - Coupling with a larger domain model - Ecosystem/biogeochemical model

  14. SEA-COOS – NFS Model Domains

  15. International SeaKeepers Society Autonomous VOS fleet Rod Zika (RSMAS) Tom Houston (SK) Edward Kearns (RSMAS) Christine Caruso (NCEP) Geoffrey Morrison (GO/SK)

  16. Autonomous Measurement types • Wind speed and direction • Air temperature • Barometric pressure • Sea surface temperature • Sea surface salinity • Oxygen and redox levels • pCO2 • pH • eH • CDOM • turbidity • fluorescence Since June 2001, FM-13 and FM-62 delivered in realtime to NWS/NCEP/NWSTG and then to the GTS

  17. SK Observations, June 2001 - December 2002 • Data are: • High Volume • High Quality • % SK of total “good” VOS obs KSXXX Wind Dir 9% Wind Speed 62% SST 35%

  18. Satellite Oceanography and New AOML Products on the Web Joaquin A. Trinanes Gustavo J. Goni CIMAS/University of Miami NOAA/AOML • Primary Variables • Sea Surface Temperature • Winds • Sea Height Anomaly • 4. Color • In-Situ Data • XBT, CTD, Drifter, ... • Cable Data

  19. IOCARIBE-GOOS is • THE Intergovernmental GOOS Regional GOOS Alliance for the Caribbean Sea and Gulf of Mexico Region. • Doug Wilson, USA/NOAA and Guillermo Garcia, Cuba • IOCARIBE-GOOS was initiated in 1999 • Strategic Plan was completed in 2002 (GOOS Report No 115, UNESCO, 2002) • support sustainable economic development, welfare, and safety • conduct systematic observations and associated research • past/present/future state of the marine and coastal environment • marine ecosystems and biodiversity • weather and climate variability • A tool for the integrated management of the coastal zone • Implementation of the Strategic Plan to begin in 2003

  20. CONCLUSION: This Partnership of Government and Academia has resulted in: • the scientific understanding for developing sustained ocean observing systems, both global and regional • the ability todevelop and test instrumentation, measurement techniques, data telemetry/ storage systems, and data assimilation/modeling capabilities • the maintenance of these systems • cooperative projects with academia, government laboratories, international organizations, and private industry • the continued scientific vigilance for improving existing networks and adaptation of new technologies for the scientific understanding of the ocean and climate system

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