Regional Priorities: 1) Safety at Sea Search and Rescue 2) - PowerPoint PPT Presentation

Regional Priorities: 1) Safety at Sea – Search and Rescue 2) Ecosystem Decision Support Fisheries 3) Water Quality 4) Coastal Inundation 5) Offshore Energy

MARCOOS The Mid-Atlantic Regional Coastal Ocean Observing System 30 Co-PIs, 20 Institutions, 10 States Investigator Affiliation Investigator Affiliation A. Allen U.S. Coast Guard L. Atkinson Old Dominion University A. F. Blumberg Stevens Institute of W. Boicourt University of Maryland Technology W. Brown University of M. Bruno Stevens Institute of Massachusetts Technology D. Chapman University of Delaware A. Cope NOAA Mount Holly WFO A.Gangopadhy University of T. Herrington Stevens Institute of ay Massachusetts Technology D. Holloway OPeNDAP E. Howlett Applied Science Associates D. King University of Maryland J. Kohut Rutgers University B. Lipphardt University of Delaware A.MacDonald Monmouth University J. McDonnell Rutgers University J. Moisan NASA Wallops NWS WFOs J. O’Donnell University of M. Oliver Rutgers University Connecticut Std Radar Sites O. Schofield Rutgers University H. Seim University of North Mesonet Stations Carolina LR HF Radar Sites J. Titlow WeatherFlow Inc. D. Ullman University of Rhode Island Glider AUV Tracks J. Wilkin Rutgers University R. Wilson SUNY, Stony Brook USCG SLDMB Tracks NDBC Offshore Platforms W. Wittman Public Service Electric M. Yarosh CIT & Gas CODAR Daily Average A. Voros NY/NJ COAST S. Glenn Rutgers University Currents

Observations (2008 – Present)

Ocean Models STPS HOPS U. Connecticut U. Massachusetts, Dartmouth NYHOPS ROMS Stevens Institute of Technology Rutgers University

MARCOOS Regional Theme 1: Maritime Safety, Search And Rescue Aggregate View

What can we measure without going to sea that fish “care” about? + Our Approach: Develop statistical models based on bottom trawl survey and OOS data to predict species distribution based on observed or forecasted OOS fields.

Benthic Depth (log-transformed) Slope (residuals vs. depth) Sediment grain size CTD Stratification Bottom temp Surface salinity (residuals vs. depth) Remote SST 443 nm reflectance 551 nm reflectance (residuals vs. depth) Proximity to fronts Cross-shore velocity Variance in cross-shore velocity Divergence trend

Percent of Explained Community Variation Partial CCA

Important Environmental Variables on Axis 1: As Axis 1 Scores increase… ↓ Temperature ↓ Depth ↑ Grain Size ↑ 551 nm Reflectance Residuals ↓ Slope Residuals ↓ 443 nm Reflectance

Important Environmental Variables on Axis 3: As Axis 3 Scores increase… ↑ Stratification ↑ SST ↑ 443 nm Reflectance ↑ Variance in cross-shore velocity ↓ Surface Salinity Residuals ↓ Cross-shore velocity

Prey abundance Intercorrelated IOOS remote Pelagic in situ Benthic Pelagic Demersal

Adult habitat GAM-Autumn offshore migration & spawning = bottom temperature + bottom rugosity + current divergence + Chlorphyll-a* 30 d - October 8 d - October *Autumn

MARCOOS Regional Theme 1: Maritime Safety, Search And Rescue Coast Guard SAROPS Before HF Radar 154 km 232 km HF Radar Surface Current Maps STPS Statistical Forecasts After HF Radar 100 Weatherflow Wind Stations 100 km Are now Operational inputs to the U.S. After HF Radar Coast Guard’s Search And Rescue 123 km Optimal Planning System (SAROPS)

High Frequency Radar Hourly Surface Current Maps

MARCOOS Regional Theme 1: Maritime Safety, Search And Rescue Forecast Individual Data Product Decision Tool Product Aggregator Aggregator Site Data Generation STPS, (UConn) MARCOOS HF Radar ROMS EDS SAROPS Totals Radials (Rutgers) Year 1 & 2 NOAA National HOPS Network (SMAST) Year 3 Distribution: OPeNDAP/ THREDDS NYHOPS Data Format: NetCDF (Stevens)

MARCOOS Regional Theme 1: Maritime Safety, Search And Rescue Validation of Optimal Interpolation Totals Feb 24- April 4, 2007 39 days

MARCOOS Regional Theme 1: Maritime Safety, Search And Rescue Drifter OI UWLS

MARCOOS Regional Theme 1: Maritime Safety, Search And Rescue HF Radar National Network National HF Radar Product in SAROPS in 2010 – 2011 Coast Guard Drifter Deployments January 2006 - December 2007

CIPS: End-to-end System User Requirements : Begun at MACOORA inundation users workshop (Baltimore, 2006) with input from regional emergency managers and other inundation forecast users; has continued with economist-led meetings and surveys.

Observations Real time meteorological (wind, pressure, temperature), water level, waves, currents, rainfall, stream gauge/flow at least hourly or better Modeling and Analysis System requires access to partner- run high-resolution (2-4 km) hourly, 36 hr. meteorological forecasts. These in turn drive multiple hydrodynamic / coastal inundation models with very high resolution coastal grids. Inundation outputs are converted to visualization layers for integration with maps or aerial/satellite photos for delivery to end users. Data Management and Communications System has been developed by Applied Science Associates, supported by NOAA Chesapeake Bay Office and MACOORA.

Application CIPS s Hydro HPL ROMS VIMS ELCIRC Results Forcing THREDDS Precip MODELS NOAA RFC ncWMS Model Validation NWS Regional Weatherflow WRF Automated Pull Java Collection Scripts Winds Time SOS Downloadable as Downloadable on series GRIB and NetCDF East Coast FTP graphing site as NetCDF Interactive NWS GIS OBSERVATIONS Mapping 37 MD stations 67 VA stations + 20-30 from Station PA/DE/WV RSS VIMS Pull (XML Download) Feeds 4 stations MDDN Data Portal R (NetCDF Download) USGS CBOS 11 real-time stations Public API NDBC 25 near-time stations 21 MD stations for Data SOS 35 VA stations (Web page scraping) Access + 6-10 from PA/DE/WV 7-10 stations Automated (REST Web service) Collection (ASCII Download) PORTS Scripts PostgreSQL 25 Northern Bay stations CBL CBIBS 17 Southern Bay 6 stations stations Chesapeake Bay Labs 10 DE stations 2 stations (XML-RPC Web (ASCII) Service) (SOAP Web service)

Simpler… please…

Even simpler… please… CIPS Partners Data Management IOOS Standards Products

Wind bard support in NcWMS

Vector support in NcWMS

WMS for unstructured grids (FVCOM)

WMS for unstructured grids (ELCIRC)

What should we work towards? • Tools to compare models with observation data • Forcing hydrodynamic models with different CIPS met models interchangeably using open standards • Integrate hydrology information into system • On-the fly visualization of model-predicted inundation • Web site for immediate access to all data - must be fast and that generates warnings (twitter, mobile devices etc.) • Google Earth for 3d “on the fly” visualization • Operational system

Implementation Timeframe Funded as IOOS project in FY 2008 with a three-year grant, ending in September 2010. Hope to be demonstrate end-to-end funtionality by end of project, with further hope of continued funding to move towards a geographically limited ‘pre- operational’ capability that can be expanded in the future. Ultimately hope to see CIPS developments incorporated into a larger scale operational inundation forecast system. F uture Updates Primary limiting factors are: Lack of computational resources to run real-time high- resolution hydrodynamic forecast model; lack of high resolution bathy/topo data; mapping of high res bathy/topo daa to model grid; efficiency and speed of visualization process. Improvements on all these fronts would lead to better system performance.

The Chesapeake Bay Interpretive Buoy System Doug Wilson NOAA Chesapeake Bay Office

CBIBS: Objectives The Chesapeake Bay Interpretive Buoy System (CBIBS) is a system to collect, transmit and interpret real-time environmental data from the Chesapeake Bay to a wide variety of constituents – including scientists, on-the-water users, educators, and natural resource decision-makers – and to fill critical observational gaps in the Chesapeake Bay. • Buoys are markers for the National Park Education & Service’s Captain John Smith Chesapeake Outreach National Historic Trail; they convey local and historic references. Buoys are versatile coastal observing • Chesapeake Bay John Smith Observing platforms collecting a broad suite of Water Trail System (IOOS) measurements • Buoys are Education cornerstones – buoy information is used in classrooms • System is built around an Integrated information network - connects buoys, data, web, education, information resources – embracing IOOS concepts and standards.

CBIBS: Target audience Groups engaged in marine activities , with a special mission to support the National Park Service’s Captain John Smith Chesapeake National Historic Trail. Present buoys are located at historically significant locations along the Trail, and the System supports educational and informational tools to interpret the Captain John Smith Chesapeake National Historic Trail.