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Mid-Atlantic Blue Ocean Economy 2030

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Presentation on theme: "Mid-Atlantic Blue Ocean Economy 2030"— Presentation transcript:

1 Mid-Atlantic Blue Ocean Economy 2030
Ocean Observations Scott Glenn Rutgers University NJ-BPU, MARACOOS, IOOS, OOI, GOOS, IOC Conclusions Up Front: Mid-Atlantic is home to the most advanced observing systems in the world Much can be leveraged to support the Blue Ocean Economy Well defined process to fill gaps Greatest need is not for new technologies – it is nurturing the will to use what already exists

2 Mid-Atlantic Drivers 1/4 of U.S. Population 1/4 of U.S. GDP World’s Largest Navy Port Commercial Ports Fishing Fleets Energy - Offshore Wind ….. Mid-Atlantic Stressors Water quality Hurricanes & Winter Storms Flooding – Extreme and Nuisance Hypoxia Intense multi-use waterways Urbanized coasts ….

3 Mid-Atlantic Bight is Physically Complex

4 Summer heating produces a highly stratified Mid Atlantic -
Summer – Winter Sea Surface Temperature Difference Summer heating produces a highly stratified Mid Atlantic - A warm surface layer + An unseen cold bottom layer Mid Atlantic Winter (1-layer) Cold Pool Mid Atlantic Summer (2-layers) Mid-Atlantic’s Cold Pool

5 10 States - 78 Million People
RI Middle Atlantic Regional Association Coastal Ocean Observing System U.. 10 States - 78 Million People 1000 km Cape to Cape CT Cape Cod MA NY PA NJ MARACOOS: An Integrated, Sustained & Certified Real-time Observation and Forecast System DE MD VA NC Cape Hatteras 5

6 MARACOOS Integration Matrix
Integration Matrix: Capabilities Support Multiple Themes Regional Priority Themes Regional Observation & Modeling Capabilities Weather Mesonet HF Radar Network Statistical STPS Satellite Imagery Glider Surveys Dynamical Ocean Forecasts Theme 1. Maritime Commerce & Safety Operational Input to USCG SAROPS Operational input to USCG SAROPS SST for survivability planning Assimilation dataset for forecast models Surface currents for SAROPS Theme 2. Fisheries Weather forecast ensemble validation Circulation and divergence maps for habitat SST & Color for habitat Subsurface T & S for habitat 3-D fields of T, S, circulation for habitat Theme 3. Public Health & Water Quality Winds for transport, river plumes, & upwelling Surface currents for floatables, bacteria, spill response Ocean color for river plumes Nearshore dissolved oxygen surveys Theme 4. Coastal Flooding SSTs assimilation into forecast models Nested forecast ensembles Theme 5. Offshore Energy Historical analysis & wind model validation Historical current analysis & wind model validation Historical analysis surface fronts & plumes for siting Historical analysis of subsurface fronts & plumes Coupled ocean-atmosphere models for resource estimates

7 MARACOOS Integration Matrix
Integration Matrix: Capabilities Support Multiple Themes Regional Priority Themes Regional Observation & Modeling Capabilities Weather Mesonet HF Radar Network Statistical STPS Satellite Imagery Glider Surveys Dynamical Ocean Forecasts Theme 1. Maritime Commerce & Safety Operational Input to USCG SAROPS Operational input to USCG SAROPS SST for survivability planning Assimilation dataset for forecast models Surface currents for SAROPS Theme 2. Fisheries Weather forecast ensemble validation Circulation and divergence maps for habitat SST & Color for habitat Subsurface T & S for habitat 3-D fields of T, S, circulation for habitat Theme 3. Public Health & Water Quality Winds for transport, river plumes, & upwelling Surface currents for floatables, bacteria, spill response Ocean color for river plumes Nearshore dissolved oxygen surveys Theme 4. Coastal Flooding SSTs assimilation into forecast models Nested forecast ensembles Theme 5. Offshore Energy Historical analysis & wind model validation Historical current analysis & wind model validation Historical analysis surface fronts & plumes for siting Historical analysis of subsurface fronts & plumes Coupled ocean-atmosphere models for resource estimates

8 MARACOOS Integration Matrix
Integration Matrix: Capabilities Support Multiple Themes Regional Priority Themes Regional Observation & Modeling Capabilities Weather Mesonet HF Radar Network Statistical STPS Satellite Imagery Glider Surveys Dynamical Ocean Forecasts Theme 1. Maritime Commerce & Safety Operational Input to USCG SAROPS Operational input to USCG SAROPS SST for survivability planning Assimilation dataset for forecast models Surface currents for SAROPS Theme 2. Fisheries Weather forecast ensemble validation Circulation and divergence maps for habitat SST & Color for habitat Subsurface T & S for habitat 3-D fields of T, S, circulation for habitat Theme 3. Public Health & Water Quality Winds for transport, river plumes, & upwelling Surface currents for floatables, bacteria, spill response Ocean color for river plumes Nearshore dissolved oxygen surveys Theme 4. Coastal Flooding SSTs assimilation into forecast models Nested forecast ensembles Theme 5. Offshore Energy Historical analysis & wind model validation Historical current analysis & wind model validation Historical analysis surface fronts & plumes for siting Historical analysis of subsurface fronts & plumes Coupled ocean-atmosphere models for resource estimates

9 MARACOOS Integration Matrix
Integration Matrix: Capabilities Support Multiple Themes Regional Priority Themes Regional Observation & Modeling Capabilities Weather Mesonet HF Radar Network Statistical STPS Satellite Imagery Glider Surveys Dynamical Ocean Forecasts Theme 1. Maritime Commerce & Safety Operational Input to USCG SAROPS Operational input to USCG SAROPS SST for survivability planning Assimilation dataset for forecast models Surface currents for SAROPS Theme 2. Fisheries Weather forecast ensemble validation Circulation and divergence maps for habitat SST & Color for habitat Subsurface T & S for habitat 3-D fields of T, S, circulation for habitat Theme 3. Public Health & Water Quality Winds for transport, river plumes, & upwelling Surface currents for floatables, bacteria, spill response Ocean color for river plumes Nearshore dissolved oxygen surveys Theme 4. Coastal Flooding SSTs assimilation into forecast models Nested forecast ensembles Theme 5. Offshore Energy Historical analysis & wind model validation Historical current analysis & wind model validation Historical analysis surface fronts & plumes for siting Historical analysis of subsurface fronts & plumes Coupled ocean-atmosphere models for resource estimates

10 Real-Time Satellite Ground Stations in the Northeast U.S.
Satellites: NOAA Polar Orbiters, NPP, Terra, Aqua, Metop & GOES U. Maine City College of N.Y. Rutgers Industry Partner U. Delaware Johns Hopkins

11 Mid-Atlantic Bight HF Radar Network
1000 km Cape to Cape Mid-Atlantic HF Radar Network 16 Long-Range CODARs 8 Medium-Range CODARs 17 Short-Range CODARs 41 Total Triple Nested, Multi-static, Multi-use Industry Partner: CODAR Ocean Sensors

12 Mid-Atlantic Bight Glider Network
RU01 RU15 RU29 G1 G1-Ruggedized G2 Satellite Ocean Color Satellite SST Subsurface Glider Data Industry Partner: Teledyne Webb Research

13 Gliders are configurable with a wide variety of sensors
Acoustic Modem ADCP/DVL Altimeter Bathyphotometer (bioluminescence) Beam Attenuation Meter Echo Sounder Optical Backscatter Optical Attenuation Oxygen Conductivity, Temperature, Depth Fish Tracking Fluorometer Hydrocarbon Hydrophones Nitrates PAR sensor Radiometer Scattering Attenuation Meter Spectrophotometer (red tide) Turbulence Wave Accelerometer Internal Payload Bay Internal External Payload Area External Mounted

14 Rutgers University - Coastal Ocean Observation Lab
Observatory Operations, Data Fusion & Training Center 14

15 Operational Use of HF Radar Surface Currents for Search And Rescue
Data Product Generation & Management Data Acquisition Search And Rescue Optimal Planning System (SAROPS)

16 Generate Surface Current Maps Every Hour for a Decade
5 MHz- 17 Stations 13 MHz- 7 Stations 25 MHz- 16 Stations Outside- 6 Stations TOTAL – 46 Stations Winter Storm Jonas 2016/01/23 20:00 UTC Decadal Mean Currents for Spatial Planning Hourly Maps for Search And Rescue

17 Operations to Research (O2R) Demonstrated
Integrated Ocean Observatory identifies processes responsible for rapid ahead-of-eye cooling. Atmospheric model sensitivities identify ahead-of-eye cooling as the missing process for rapid de-intensification NOAA OAR

18 R2O - Hurricane Hermine Response - Glider Fleet Launched, 9/2016
HYCOM RTOFS

19 R2O - Navy Global HYCOM: Temperature Below Summer Thermocline
Operational GOFS 3.0 OpTest of GOFS 3.1 No Cold Pool Well Defined Cold Pool Isopycnal Layers on Shelf Sigma/Z-levels on Shelf

20 Conclusions: Mid-Atlantic is home to the most advanced observing systems in the world - e.g. IOOS MARACOOS & NSF OOI Much can already be leveraged to support the Mid-Atlantic Blue Ocean Economy Well defined process to fill gaps, e.g.: GOOS – Framework for Ocean Observing MARACOOS – Integration Matrix Greatest need is not for new technologies – it is nuturing the will to use what already exists

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