GOES Applications:GOES Applications: Research and ManagementResearch and Management of of

Living Marine Resources in the Living Marine Resources in the Central and Western PacificCentral and Western Pacific

David G. FoleyDavid G. FoleyJoint Institute for Marine and Atmospheric Joint Institute for Marine and Atmospheric

Research - University of HawaiiResearch - University of Hawaii

R. Michael LaursR. Michael LaursHonolulu LaboratoryHonolulu Laboratory

NOAA FisheriesNOAA Fisheries

GOES-R User Workshop IIGOES-R User Workshop II1-3 October 20021-3 October 2002

Boulder, COBoulder, CO

OverviewOverview

Support of NOAA Fisheries missionsSupport of NOAA Fisheries missions Relevant oceanic scalesRelevant oceanic scales Specific ApplicationsSpecific Applications Integration with other data setsIntegration with other data sets Data ManagementData Management Prospects/requests for the future GOES Prospects/requests for the future GOES

seriesseries

NOAA Fisheries MissionsNOAA Fisheries Missions

Basic MissionsBasic MissionsBuild and maintain sustainable Build and maintain sustainable

fisheriesfisheriesProtect and recover endangered Protect and recover endangered

speciesspecies Identify and maintain essential fish Identify and maintain essential fish

habitathabitat Support of TreatiesSupport of Treaties

MHLCMHLC

Locating Oceanic ConvergenceLocating Oceanic Convergence

Marine debris ($2 M / year)Marine debris ($2 M / year)

Long-line fisheries ($100 M / anum)Long-line fisheries ($100 M / anum)

Interaction of LL fishery and turtles ($100 M / Interaction of LL fishery and turtles ($100 M / year)year)

Expanded coverage of GOES SSTExpanded coverage of GOES SST

Mesoscale carbon fluxMesoscale carbon flux

Guided sampling of research shipsGuided sampling of research ships

Specific ApplicationsSpecific Applications

Ocean Features ImportantOcean Features Important In Fisheries In Fisheries

Ocean ‘fronts’, boundaries, ‘edges’Ocean ‘fronts’, boundaries, ‘edges’ Mesoscale circulation patterns, e.g., Mesoscale circulation patterns, e.g.,

eddies, meanders, ‘loops’eddies, meanders, ‘loops’ Convergence zonesConvergence zones Vertical thermal topographyVertical thermal topography Ocean surface windsOcean surface winds Wave heightsWave heights

Hawaii Longline ClosuresHawaii Longline Closures

Monk Seal Entangled in Monk Seal Entangled in Marine DebrisMarine Debris

North Pacific Subtropical North Pacific Subtropical ConvergenceConvergence

Wind Stress Curl ERS2 Wind Stress Curl ERS2 January - March 1998January - March 1998

ERS2 Curl and AVHRR ERS2 Curl and AVHRR SST 18 C IsothermSST 18 C Isotherm

ERS2 Curl, AVHRR 18 C SST ERS2 Curl, AVHRR 18 C SST and and SeaWiFSSeaWiFS 0.2 Chl 0.2 Chl aa

Curl, 18 C, 0.2 Chl Curl, 18 C, 0.2 Chl aa and Swordfish CPUEand Swordfish CPUE

Curl, SST, Chl a, Swordfish Curl, SST, Chl a, Swordfish CPUE and Turtle TracksCPUE and Turtle Tracks

Spatial and Temporal Dynamics Spatial and Temporal Dynamics of Subtropical Convergenceof Subtropical Convergence

Possible Approach to DefinePossible Approach to Define Time and Area Closures Time and Area Closures

Identify habitats using satellite sensors, e.g.Identify habitats using satellite sensors, e.g. Areas of convergence - Wind Stress Curl Areas of convergence - Wind Stress Curl

(QuikSCAT and ADEOS-II)(QuikSCAT and ADEOS-II)

Swordfish habitat - 18 C Isotherm (GOES, AVHRR Swordfish habitat - 18 C Isotherm (GOES, AVHRR GAC and MODIS)GAC and MODIS)

Marine turtle habitat - 0.2 Chlorophyll (MODIS Marine turtle habitat - 0.2 Chlorophyll (MODIS AM/PM)AM/PM)

Model anticipated longline fishery interactionsModel anticipated longline fishery interactions Adjust fishery closures accordinglyAdjust fishery closures accordingly Guide vessels for at-sea Debris RecoveryGuide vessels for at-sea Debris Recovery

Coral Reef MonitoringCoral Reef Monitoring

Data IntegrationData Integration

Essential types of integrationEssential types of integration

Ground truth Ground truth Improves satellite productsImproves satellite products

Comparing Different Comparing Different Spatial Scales Spatial Scales

SST at Maro ReefSST at Maro Reef

Define minimum Define minimum acceptable acceptable performanceperformance

Know when it Know when it worksworks

Know when it Know when it failsfails

Devise regional Devise regional calibrationscalibrations

Data IntegrationData Integration

Essential types of integrationEssential types of integration

Ground truth Ground truth Improves satellite dataImproves satellite data

Sky truth Sky truth Improves in situ collection methodImproves in situ collection method

Winds at French Winds at French Frigate ShoalsFrigate Shoals

Identified Identified discrepancy discrepancy between satellite between satellite and in situand in situ

Tested additional Tested additional in situ platformsin situ platforms

Corrected error Corrected error in mooring datain mooring data

Product DevelopmentProduct Development

Understand Regional CharacteristicsUnderstand Regional CharacteristicsClimatic conditionsClimatic conditionsPhysical dynamicsPhysical dynamicsEcological interestEcological interest

Focus on applicationFocus on applicationChoose appropriate platformChoose appropriate platformWork through exampleWork through exampleDeliver product (and technology)Deliver product (and technology)

High quality digital data from central High quality digital data from central processing processing

NRT from NESDIS|ORA and OSDPDNRT from NESDIS|ORA and OSDPD

NRT from NASA and ESANRT from NASA and ESA Regional products at local nodesRegional products at local nodes

Targeted development through partnerships Targeted development through partnerships with end userswith end users

Flexible distribution schemesFlexible distribution schemes

Data Management Data Management Near Real TimeNear Real Time

Delayed science-quality data setsDelayed science-quality data sets

Basic data from large archivesBasic data from large archives E.g., NASA DAACs, ESA, NOAA|SAAE.g., NASA DAACs, ESA, NOAA|SAA

Extracted time seriesExtracted time series

ClimatologiesClimatologies

Complementary in situ data Complementary in situ data

Data ManagementData ManagementSupporting DataSupporting Data

Desirements - GeneralDesirements - General

Near-Real Time (< 11 hours)Near-Real Time (< 11 hours) Cloud-Cleared SSTCloud-Cleared SST Historical Data SetsHistorical Data Sets Spatial Coverage to include Western Spatial Coverage to include Western

Pacific.Pacific. Hourly Solar IrradianceHourly Solar Irradiance Ocean Color Capacity (e.g., SEI)Ocean Color Capacity (e.g., SEI)

Desirements - SpecificDesirements - Specific

Central PacificCentral Pacific

ResolutionResolution

Time < 3 hrTime < 3 hr

Space < 5 kmSpace < 5 km

Data QualityData Quality

Absolute < 0.5 CAbsolute < 0.5 C

Relative < 0.5 CRelative < 0.5 C

West CONUSWest CONUS

ResolutionResolution

Time < 1 hrTime < 1 hr

Space < 1 kmSpace < 1 km

Data QualityData Quality

Absolute < 1.0 CAbsolute < 1.0 C

Relative < 1.0 CRelative < 1.0 C

East CONUSEast CONUS

And GoMAnd GoM

ResolutionResolution

Time < 1 hrTime < 1 hr

Space < 2 kmSpace < 2 km

Data QualityData Quality

Absolute < 1.0 CAbsolute < 1.0 C

Relative < 1.0 CRelative < 1.0 C