Post on 14-Jan-2016
description
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
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
Data IntegrationData Integration
Essential types of integrationEssential types of integration
Ground truth Ground truth Improves satellite productsImproves satellite products
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