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U.S. Integrated Ocean Observing System

Jul 21, 2015

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U.S. Integrated Ocean Observing SystemIOOS RelationshipsInternational Component

Regional Component

National Component Global Ocean Observing SystemVessels SatelliteSatellite Ships/ Vessels REMUS Modeling Leadership CODA R Glider Data Vis. Securit y Education

11 Regional Associations

17 U.S. Federal Agencies

http://ioos.gov

Development of the United States National HF Radar NetworkU.S. IOOS: Zdenka Willis, NOAA IOOS HF Radar Steering Team: HFR Program Coordinator: Jack Harlan, NOAA IOOS Federal Partners: Bill Birkemeier, USACE Pat Burke, NOAA CO-OPS Bill Burnett, NOAA-NDBC Ming Ji, NOAA NWS OPC Rich Patchen, NOAA CSDL Elected by Regional Associations: Larry Atkinson, Old Dominion Pierre Flament, U Hawaii Scott Glenn, Rutgers Jeff Paduan, Naval Postgrad Nick Shay, U Miami Eric Terrill, Scripps Technical Experts: Don Barrick, CODAR Ocean Sensors Mike Kosro, Oregon State

http://hfradar.ndbc.noaa.gov/

Development of the Mid-Atlantic Regional HF Radar Network:Applications to Search And Rescue, Fisheries Management, Hurricane Forecasting & Oil Spill ResponseMARACOOS Co-PIs: Scott Glenn, Josh Kohut, Hugh Roarty. Oscar Schofield, Larry Atkinson, Bill Boicourt, Wendell Brown, Eoin Howlett, Carolyn Thoroughgood

Hurricane Irene August 26, 2011 http://maracoos.org

Mid-Atlantic Bight HF Radar Network1000 km Alongshore Length Scale

Mid-Atlantic HF Radar Network 14 Long-Range CODARs 7 Medium-Range CODARs 15 Short-Range CODARs 36 Total Triple Nested & Multistatic

4

Regional Seas surrounding South Korea

1000 km Alongshore Length Scale

Global Drivers

Coastal Population Centers

International Commerce

Ocean Seasonality

Tropical Cyclones

MID-ATLANTIC REGIONAL DRIVERS

Tropical Storms Climate Change Ocean Circulation Critical Habitat

NortheastersPopulation Ports

MARACOOS REGIONAL THEMES & SUCCESS STORIES1) Maritime Operations Safety at Sea 3) Water Quality a) Floatables, b) Hypoxia, c) Nutrients

2) Ecosystem Decision Support - Fisheries 4) Coastal Inundation - Flooding

5) Energy Offshore WindAreas under Consideration for Wind Energy Areas760'W 7530'W 750'W 7430'W 740'W 7330'W

Pennsylvania

Wilmington

New Jersey3930'N 3930'N

Atlantic City Dover

390'N

Delaware

3830'N

Maryland

Ocean City

380'N

CHESAPEAKE BAY3730'N

Vi rg i

ni a

New Jersey Delaware Maryland370'N

VirginiaVirginia BeachNautical Miles

Virginia760'W 7530'W 750'W 7430'W

0

5

10

15

20

25

30

740'W

7330'W

370'N

3730'N

380'N

3830'N

390'N

DELAWARE BAY

Satellite TestbedsCorporate Partner: SeaSpace Since 1992SST SST & OC

SST/Weat her

SST & OC

Rutgers

U. Delaware

HF Radar TestbedsCorporate Partner: CODAR Ocean Sensors Since 1997Short Range 25 MHz

36 Sites

Long Range 5 MHz

Multi-Static Triple Nested

Medium Range 13 MHz

MARACOOS - Autonomous Underwater Gliders Since 1998Satellite Ocean Color

Satellite SST

Subsurface Glider Data

Corporate Partner: Teledyne Webb Research

< Regional Glider Fleet With Global Reach > >270 Missions

Improved Predictive Modeling and Data Assimilation

1) STPSU. Connecticut

2) NYHOPSStevens Institute of Technology

3) ROMSRutgers University

4) HOPSU. Massachusetts, Dartmouth

Rutgers University - Coastal Ocean Observation LabOperations, Research & Education Center

Vessels SatelliteSatellite Ships/ Vessels CODAR Glider

REMUS Modeling Leadership

Data Vis. Security Education

Satellite Data Acquisition Stations

CODAR Network

Glider Fleet

3-D Forecasts

ONR Shallow Water 2006 Joint Experiment48 Senior PIs & PMs 7 Ships

HiSeasNet

>12 Satellites

3 Groundstations

10 Gliders

1 Aircraft 62 Moorings

Leveraging Data & Products for Societal GoalsRegional Priority ThemesTheme 1. Maritime Safety Theme 2. Ecological Decision Support

Regional Observation & Modeling CapabilitiesWeather MesonetOperational Input to USCG SAROPS

HF Radar NetworkOperational input to USCG SAROPS

Statistical STPSOperational input to USCG SAROPS

Satellite ImagerySST for survivability planning

Glider SurveysAssimilation dataset for forecast models

Dynamical Ocean ForecastsSurface currents for SAROPS

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. Water Quality

Winds for transport, river plumes, & upwelling Weather forecast ensemble validation

Surface currents for flotables, bacteria, spill response

Surface currents for flotables, bacteria, spill response

Ocean color for river plumes

Nearshore dissolved oxygen surveys

Surface currents for floatables, bacteria, spill response

Theme 4. Coastal Inundation

Current forecast model validation

SSTs assimilation into forecast models

Assimilation dataset for 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 oceanatmosphere models for resource estimates

Success Stories Making a Difference Optimizing HF Radar for SAR using USCG Surface Drifters

Art Allen U.S. Coast Guard Scott Glenn Rutgers University Mid-Atlantic Regional Association Coastal Ocean Observing System

Transition Objective Operational Use of HF Radar Surface Currents for Search And Rescue Surface Currents

Data Acquisitio n

Data Product Generation & Management

Search And Rescue Optimal Planning System (SAROPS)

17

5000 Virtual Drifters 24 Hours Into Search

HYCOM Low Confidence

CODAR High Confidence

5000 Virtual Drifters 48 Hours Into Search

HYCOM Low Confidence

CODAR High Confidence

5000 Virtual Drifters 72 Hours Into Search

HYCOM Low Confidence

CODAR High Confidence

5000 Virtual Drifters 96 Hours Into Search

HYCOM Low Confidence

CODAR High Confidence

5000 Virtual Drifters Search Area After 96 Hours

154 km

100 km 232 km

123 km

HYCOM 36,000 km2

CODAR 12,000 km2

May 4, 2009: After a year of testing, NOAA Announces on U.S. Department of Commerce Website that MARACOOS CODAR is Operational in SAROPSPresent Activity:

Bring all sustained regional-scale HFR networks up to operational status in USCG SAROPS3 West Coast Regions for California & Oregon are ready.

Hurricane IreneAug 20-29Total inches of rainfall

0

32

First tropical storm to threaten New York City since Hurricane Gloria in 1985 Flooding records broken in 26 rivers Caused at least 56 deaths Damage nearly $8 billion

Hurricane Irene

39.5N 73W Surface Current Time Series Total Current Near-Inertial Current

Wave & Wind Direction Time Series

Eye Passes over NJ mid-day on Aug 28

Hurricane Irene

39.5N 73W Surface Current Time Series Total Current Near-Inertial Current

Wave & Wind Direction Time Series

Eye Passes over NJ mid-day on Aug 28

Hurricane Irene Surface Current Wavelet AnalysisDirect Wind Forcing Inertial Response

Aug 27 Frontside

Aug 28 Eye

Aug 29 Backside

Aug 30 Inertial

Aug 31 Inertial

Sep 01 Inertial

RU-WRF Atmospheric Forecast Model85 80 75 70 65 60 55 50 45 40 35

Maximum Sustained Wind Speed (10m)Wind Speed (kts)

NHC Best Track NHC Forecast

Date

Temperature

Two Gliders Deployed by MARACOOS in Hurricane IreneRU23 Deployed for MARACOOS. Map subsurface T/S structure for fisheries. Damaged early - drifter Recovered by fisherman Provided data on inertial currents during storm.

RU16 Deployed for EPA. Map bottom dissolved oxygen. Provided data on mixing during storm.

WRF Model Run: SST Update27/120028/0600 28/060029/0600

Run ComparisonWARM (RTG only) COLD Update (AVHRR)

Hurricane Irene Forecast Sensitivity to SSTMaximum Wind Speed Error (knots)Date/Time (UTC) Original NHC Forecast WRF Warm SST (RTG only) WRF Warm SST (RTG only + OML Model) -17.23 4.2 -2.14 -1.04 4.79 3.51 1.93 9.84 452 7.09 WRF Cold SST (AVHRR)

27/1200 27/1800 28/0000 28/0600 28/1200 28/1800 29/0000 29/0600Sum of Squares RMSE

5 10 10 5 15 15 15 10800 9.43

-17.22 4.1 1.39 -1.2 2.39 4.97 3.62 10.48457 7.13

-6.17 5.88 3.96 -1.21 0.5 -2.67 -0.89 4.52118 3.61

Cold SST Produces the best intensity forecast!

U.S. National HF Radar NetworkJune 2004

U.S. IOOS HF Radar Data Flow For US Coast Guard Search And Rescue Since 2007

U.S. National HF Radar Network

Table 4: Full 5-Year Buildout. Estimated acquisition & maintenance costs.

Technician fully encumbered salary is estimated at $130,000; Purchase and deployment for DF HFRs, LPA HFRs are $160,000 and $300,000, respectively. Two technicians for each 7 DF HFRs, 4 LPA HFRs, respectively. September 2009 http://www.ioos.gov/hfradar/

2010 Deepwater Horizon Oil Spill Oil Transport Questions: Will the oil. Come ashore in Louisiana? Spread east to Texas or west to Mississippi, Alabama and Florida pan handle in the wind-driven coastal currents? Enter the Loop Current and be transported downstream? Hit the Florida Shelf and be driven shoreward by winds? Ride the Loop Current south and hit the Florida Keys? Be transported out of the Gulf of Mexico by the Gulf Stream and impact the East Coast?

Gulf of Mexico

National Center for Secure and Resilient Maritime CommerceA U.S. Department of Homeland Security Center of Excellence

Responding to Crisis: Deepwater HorizonU.S. IOOS partnership demonstrated ability to:Quickly deploy technologies: Gliders and HF radar, saving resources/improving safety Models/Imagery ingested into NOAA/Navy models Data assimilation improved spill response decision-making and public understanding June 2USM HFR

USF HFR

Web Portal

HFR data informed NOAA trajectory forecasts

HFR validation of SABGOM Forecast combined with satellite detected oil slicks

Briefing Blog

Deepwater Horizon Oil Spill Response: Near Field Environmental Analyses Oil response to a major wind shift

July 3 June 29

July 4

July 7

Deepwater Horizon Oil Spill Response: Approach to West Florida Shelf

Close Approach to West Florida Shelf

June 3

June 4

Deepwater Horizon Response: East Coast Assessments of Risk

July, 2009

July 6

August, 2009

September, 2009

U.S. National HF Radar NetworkSummer 2011 Coverage 131 Radars

U.S. National HF Radar NetworkStatus this morning: May 16, 2012 95-100 of 163 registered sites reportinghttp://hfradar.ndbc.noaa.gov/

Oil Spill Trajectory ForecastingIngested & distributed by IOOS national HF radar data servers at Scripps & NOAA/NDBC Collected using CODAR SeaSonde HF radar systems (USM, USF)

Chronology2006 2007

20 Apr

30 Apr

2 May

2 May Cap of DWH Well

Projection of Wintertime Tarball Events Predictable events - based on strong, persistent flow from the south Allows staging of response

Jeffrey D. Paduan Naval Postgraduate School

Decision Support for Water Quality Projects Inspection of Hyperion Outfall Pipe ~Billion gallons of sewage to be diverted to an in-shore outfall Concern about extent of impact and public health risks Offshore and surf zone circulation had to monitored Real-time trajectory tool implemented at surfacing outfall

Tracking of Marine Debris Proactive public health actions after a known spill/release

Enhances forensic investigations by indicating source locations Allows tracking of floating material

Support for Harmful Algal Bloom Events

Tracking of HABs Prediction Public health implications Combines with other data sets for decisionmaking

Vera L. Trainer, NOAA Fisheries Barbara M. Hickey, University of Washington

47

Biological Monitoring and Prediction Probability of egg occurrence Use HFR for particle trajectories Larval dispersal and MPAs

Winter

Spring

Similar uses for spawning and migration studies

Autumn

Summer

Gong et al., 2009. JGR

Transformations in Ocean Observing

Regional Coastal Ocean Observing Systems are serving societal needs everyday. Regional successes are being coordinated to share best practices, and leveraged to build National Networks. There is much we can learn from each other as we build the Global Network (See Zdenka Willis talk).

Rutgers University - Coastal Ocean Observation LabVisitors Welcomed!http://rucool/marine.rutgers.edu

Vessels SatelliteSatellite Ships/ Vessels CODAR Glider

REMUS Modeling Leadership

Data Vis. Security Education

Satellite Data Acquisition Stations

CODAR Network

Glider Fleet

3-D Forecasts