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Worth Nowlin - Gulf of Mexico Coastal Ocean Observing System ...

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Global <strong>Ocean</strong> <strong>Observing</strong> <strong>System</strong>:An Overview <strong>Worth</strong> D. <strong>Nowlin</strong>. Jr. Texas A&M University Texas, USA


Sustained observations <strong>of</strong> the oceanare required for:• Understanding global change• Predicting climate variability• Protecting and managing marine ecosystems• Complying with international agreements• Protecting life and property on the coast and at sea• Providing forecasts <strong>of</strong> its future states for a variety<strong>of</strong> uses and users.


RequirementsMaritime safety and transportv Large proportion <strong>of</strong>global commercev Critically sensitive tomarine weather and climate


RequirementsNatural disaster preventionv Tropical cyclones,waves and storm surgesv Maximum impact incoastal areasv Operational forecasts andwarnings, meteorology,oceanography, hydrology


Global <strong>Ocean</strong> <strong>Observing</strong> <strong>System</strong>Established 1990byIntergovernmental <strong>Ocean</strong>ographic CommissionWorld Meteorological OrganizationInternational Council <strong>of</strong> Scientific UnionsUnited Nations Environment Programme


Organized in two modules• Global Module dealing with climate andmarine services• <strong>Coastal</strong> Module dealing with neededproducts from the coastal oceanConsiderable overlap in observations and inareas <strong>of</strong> interest


Milestonesn 1995 Strategic Design for Climate Modulen 1998 Initial Action Plan for ClimateModulen 1999 Formation <strong>of</strong> Capacity Building Paneln 2003 Strategic Design for <strong>Coastal</strong> Modulen 2005 Initial Implementation Plan for<strong>Coastal</strong> Module


IN SITU OPEN OCEANMEASUREMENTS FORWEATHER AND CLIMATE


LONG-TERM GOAL: A COMPREHENSIVEOPERATIONAL SYSTEM FOR OBSERVING THEGLOBAL OCEANS.


Joint Technical Commission for<strong>Ocean</strong>ography and MarineMeteorology (JCOMM)Established in 2001 jointly by the WorldMeteorological Organization and theIntergovernmental <strong>Ocean</strong>ographic Commission


WMO/IOC Joint Technical Commission for<strong>Ocean</strong>ography and Marine Meteorology• Intergovernmental coordination <strong>of</strong> the implementation <strong>of</strong> operational marinemeteorology and oceanography• Equivalent for the oceans <strong>of</strong> existing bodies for operational meteorology• Integrated operational ocean observing system and data management• New products and services, close user interaction• Involvement <strong>of</strong> all maritime countries• An implementation mechanism for global GOOS• Needs strong regional interactions and support


Present JCOMM Activities• Ship-based observations 6000 VOS observing meteorology and surfaceoceanography 120 SOOP for subsurface T&S 20+ ASAP for upper air Liaison with ocean CO 2 community• 1400 drifters observing meteorology and surfaceoceanography• 100s <strong>of</strong> ocean buoys for met & ocean• 300 sea level stations in GLOSS• Liaison with pr<strong>of</strong>iling float program, Argo• Sea ice monitoring• Coordination with ocean satellites


JCOMMOPS DBCP, SOT, ArgoJCOMM Support Facilities A coordination, metadata and information facility for in situplatform deployers and users http://www.jcommopsjcommops.org JCOMM Electronic Products Bulletin Operational ocean products and data fields, updatedmonthly http://iriiri.ldeo.columbia.edu/climate/monitoring//climate/monitoring/ipb/ JCOMM web site Information exchange on JCOMM documents, meetings, operationsand people To become http://jcommjcomm.net


Tide Gauges Surface Drifting Buoys Tropical Moored Buoys Ships <strong>of</strong> Opportunity Argo Floats Reference Stations <strong>Coastal</strong> Moorings <strong>Ocean</strong> Carbon Network Dedicated Ship Time <strong>System</strong> Evaluation The Ten-Year Plan for In-situ Observations2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 4040772425045792625045807 671 779 810 7723200 310 544 792610002505583291 2 6 7 10 801050 1250 125087322000 300024 430 140 0 0 0 15 4014 16 18 20250 0 1 1 1326703 486 90363000168036700686125094 41 3000291203876078612509941300029150 40820986125099413000291504082010861250994130002915040820 10Operational GPS/DORISStationsNumber <strong>of</strong> buoysNumber <strong>of</strong> mooringsHigh resolution and frequentlyrepeated lines occupiedNumber <strong>of</strong> floatsNumber <strong>of</strong> flux mooringsMoorings with climate sensorsNumber <strong>of</strong> flux sites/lines,One inventory per 10 yearsDays at sea (NOAA contribution)Product evaluation andfeedback loops implementedTotal <strong>System</strong>30 34 40 4448 77 88 94 99 100 1002000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 <strong>System</strong> % Complete


OBSERVING THE OCEANSFROM SPACE


OCEAN PARAMETERS ESTIMATEDFROM SPACE BY 2010CurrentsFresh WaterIce Surface TemperatureImageryLittoral Sediment TransportNet Heat FluxNet Short Wave Radiance<strong>Ocean</strong> Color/ChlorophyllTurbidity<strong>Ocean</strong> Wave CharacteristicsSalinitySea Ice Age and Edge MotionSea Surface Height/TopographySea Surface TemperatureSea Surface WindsSurface Wind StressSuspended Matter


Satellite Altimeter Data forWave ForecastsMarch-May 20010 rms diff (m) 1.6NOAA 24-hour wave forecast accuracy,estimated from ERS2 altimeter observations


Along-Track Scanning RadiometerSpecifically designed toretrieve high-precisionsea surfacetemperatures for climatemonitoring:– Highly accurateon-board calibration(


Topex/PoseidonJason AltimeterGeostrophicCurrentEstablishing an OperationalData <strong>System</strong> for SurfaceCurrents from SatelliteAltimeters and ScatterometersTotal Surface Current VelocityQuikScatScatterometerWind-DrivenCurrent


<strong>Coastal</strong> Wind Images from SAR


Alaska SAR DemonstrationHIGH RESOLUTION INFORMATIONFOR IMPROVED ICE EDGEFORECASTSICE INFORMATION ANDVESSEL POSTIONS FORFISHERIES MANAGEMENTSEA ICE EDGE AND SNOW CRAB FISHERY FLEET


Arabian Sea - December 2000TERRA-MODIS Chlorophyll a


Harmful Algal Bloom


Global Coverage <strong>of</strong> <strong>Ocean</strong> Winds & Detailed Structure <strong>of</strong> Hurricane Floyd


TOPEX/POSEIDON ALTIMETRYFOR EL NIÑO


NEW ELEMENTS: ARGO ANDGODAE


6,316BATHY & TESACreports collectedin real timeduringDecember, 2000.We have limited ability to observebeneath the surface <strong>of</strong> the ocean.


Argo will cover the global oceanswith 3,000 pr<strong>of</strong>iling floats.


GODAEGLOBAL OCEAN DATA ASSIMILATION EXPERIMENTObjective: practical demonstration <strong>of</strong> real-time, global ocean dataassimilation for operational oceanographyTo apply state-<strong>of</strong>-the-art ocean models & assimilation methods for:-- short-range open-ocean forecasts-- boundary conditions for coastal forecasts-- initial conditions for climate forecast modelsTo provide global ocean analyses and re-analyses to improve our:-- understanding <strong>of</strong> the oceans-- assessments <strong>of</strong> the predictability <strong>of</strong> ocean systems-- the design & effectiveness <strong>of</strong> the global ocean observing system


MERCATOR Bulletin for June 19,2002 : how is the ocean next week ?Sea Sea Surface SurfaceHeight HeightSea Sea Surface SurfaceTemperatureTemperatureSalinity Salinity at at 1000 1000 mdepth depthGODAE, Biarritz – 13 June, 2002


EL NIÑO AND OTHER LONGPERIOD OSCILLATIONS


THE EL NIÑO/SOUTHERN OSCILLATION


ZIMBABWE MAIZE YIELD AND EL NIÑO


EL NIÑO AND HEALTH RISKS: MALARIA


NORTH ATLANTIC OSCILLATION (NAO)


NORTH ATLANTIC OSCILLATION AFFECTSZOOPLANKTON (CALANUS)


THE PACIFIC DECADAL OSCILLATION1947-19761977-1997Courtesy <strong>of</strong> the National Geographic Magazine


Change has pr<strong>of</strong>oundconsequences for all naturalresources, stakeholders andmanagersGOA - Early ’70sSource: Francis and Hare 1994GOA Late ’70sCentral Alaska Sockeye catchesGOA 1980s-’90s


GOOS IN COASTAL SEAS ANDEEZs


Integrated, Ecosystem BasedAdaptive ManagementResource Management, Environmental Protection,<strong>Coastal</strong> Area Management, <strong>Coastal</strong> EngineeringRequires ability toØØRoutinely & Rapidlydetect changesProvide timelypredictions <strong>of</strong> changesWE DO NOT HAVE THISCAPABILITYTODAY


<strong>Coastal</strong> Phenomena <strong>of</strong> InterestDrivers <strong>of</strong> Change Ecosystem DynamicsnnnMarine Operations & Public SafetyØØØSea state, Currents, Sea iceSea level, SST<strong>Coastal</strong> flooding & erosionPublic HealthØØSeafood contaminationAmbient levels <strong>of</strong> pathogensEcosystem Health & LMRsØØØØØØDeclines in living resourcesAquacultureLoss <strong>of</strong> habitat & biodiversityHABs, Invasive speciesMass mortalitiesChemical contamination


Global <strong>Coastal</strong> NetworkProvisional Common VariablesPHYSICALSea level, Temperature, Salinity, Surface currents,Surface wave spectra, Bathymetry, Shoreline positionCHEMICALSediment grain size/organic content,Dissolved inorganic N-P-Si, Dissolved O 2BIOLOGICALChlorophyll a, Attenuation <strong>of</strong> solar radiation,Benthic biomass, Fecal indicators


<strong>Observing</strong> Subsystem:Key elements <strong>of</strong> infrastructure• In situ sensing• <strong>Coastal</strong> <strong>Observing</strong> Network for the Near Shore• GLOSS• Fixed platforms, moorings, drifters, AUVs• SOOP, VOOS (e.g., Instrumented Ferries)• Remote sensing• Satellites & aircraft• Land-based – HF Radar


New Jersey Shelf <strong>Observing</strong> <strong>System</strong>RemoteSensingHFRadarGliders4-D Visualization300km x 300kmREMOTE SENSING,RADAR, GLIDERS


GOOS NATIONAL PROGRAMSAND REGIONAL ALLIANCES


Global Distribution <strong>of</strong> National GOOS Committeesor Contact PointsRegional GOOS BodiesNational GOOS Committees/Contact Pointshttp://ioc.unesco.org/goos


GOOS REGIONSEuroGOOSBS-GOOSMedGOOSGOOS-AFRICAIO-GOOSNEAR- IOCARIBE-GOOS GOOSSEA-GOOSPI-GOOSGRASPEuAF


What nextn Develop new Regional efforts: S.E. Pacific GOOSn Implement <strong>Coastal</strong> GOOS inc. water quality monitoring& living resources.n Build remote sensing capacityn Build numerical modeling capacity for data processingand analysisn Encourage pooling <strong>of</strong> resources in Regional Processingcentersn Improving data exchange and managementn Find out what your users want


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