u.s. integrated ocean observing system (ioos ® ) ioos ® biological observations data project a...
TRANSCRIPT
U.S. Integrated Ocean Observing System (IOOS®)
IOOS® Biological Observations Data Project
A Multi-Agency Effort to Enable Access to Biological Observations data
-A Demo Presentation-
Dr. Hassan Moustahfid Project Lead
U.S. IOOS Program
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• US Integrated Ocean Observing System (IOOS) initiated project focused on data services for “biological data”
• Collaboration between many groups: NOAA. Fisheries, NOAA/NOS/ PMNM, USGS (OBIS-USA); NPS; University of Hawaii
• Pilot Project in Regional Association for Pacific Islands (PacIOOS)
• Provide biological data in common services to support customers (e.g. Fish Population Assessments)
Introduction
IOOS® Core Variables
1. Temperature2. Salinity3. Water level4. Currents5. Surface Waves6. Surface Winds7. Ocean color8. Dissolved oxygen9. pH10.pCO2
11.Heat flux12.Bottom character13.Pathogens
list could be expanded based on identified needs...
14.Bathymetry15. Ice distribution16.Contaminants17.Stream flow18.Dissolved nutrients19.Optical properties20.Total suspended matter21.Colored dissolved organic matter22.Fish species23.Fish abundance24.Zooplankton species25.Phytoplankton species26.Zooplankton abundance
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Establish
a) a community standard for the representation of marine biological observations (e.g. species presence/absence and abundance).
b) a standard approach for exposing these observations via web services both of which would be based on a customer-based set of specific requirements.
Objectives of IOOS BDP
1. Infrastructure Provide scalable data integration technology and
procedures that facilitate participation by many diverse data sources and regions and preserve the meaning and quality of the integrated data.
2. Extensibility Standards for Species Presence/Absence/Abundance
observations must be extensible to other geographic regions and to other marine biological.
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Requirements
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Where we are?IOOS BDP Pilot project
Implementation of IOOS BDP in PacIOOS Region completed Data integration from Three Agencies (NOAA. Fisheries, NOS/PMNM and NPS completed) System was tested/evaluated by the end users “Customers” Feedbacks received from Data providers/Data users Refine/ improve is now a routine process for PacIOOS
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PacIOOS Region
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http://www.ioos.gov/ecosystem_observations/welcome.html
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http://pacioos-mapserver2.ancl.hawaii.edu/erddap/info/index.html
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Access ERDDAP service using Preferred user Applications
(E.g. MatLab, ArcGIS, R, etc)
http://coastwatch.pfeg.noaa.gov/erddap/tabledap/erdCinpKfmFT.mat?longitude,latitude,station,Oxyjulis_californica_Adult
http://coastwatch.pfeg.noaa.gov/erddap/griddap/erdPPbfp1mday.mat?productivity[(2007-12-16T12:00:00Z):1:(2007-12-16T12:00:00Z)][(0.0):1:(0.0)][(31.8):1:(35.05)][(238.6):1:(242.6)]
Matlab - The two URLS below were used to read the Fish species (Oxyjulis) data and productivity data from satellites directly into Matlab
Courtesy :Roy Mendelssohn
Google Earth - Same URL with one change reads Oxyjulis data into Google Earth
http://coastwatch.pfeg.noaa.gov/erddap/tabledap/erdCinpKfmFT.kml?longitude,latitude,station,Oxyjulis_californica_Adult
Google Earth - With both transect and satellite data
R - Erik Franklin from (University of Hawaii) used the same URLs to read both datasets directly into R and then into ArcGIS
R - Erik Franklin used the same technique to read some of the Hawaii transect data directly into R and then into ArcGIS.
Courtesy Erik Franklin (UH/HIMB)
Eoin Howlett, Kelly Knee
ASA
Roy Mendelssohn, Cara Wilson
NOAA/NMFS
http://www.pfeg.noaa.gov/products/EDC/orhttp://www.asascience.com/software/arcgistools/edc.shtml
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EDC
THREDDS
ERDDAP
SOS Java AppNetCDF
XML
ArcGIS Extension
Rasters
Features
Time-varying – non-uniform time steps also
Environmental Data Access
Courtesy: Kelly Knee and Roy Mendelssohn
IOOS Biological Data ProjectWhat Did We Solve? and How Did We Solve It?
IOOS Biological Data
Quantification
Towed-Diver Survey
General,Abstract
More specific but still general (!?)
Very specific
What did we solve?1.Biogeography2.Web Service Access3.Taxonomic Resolution4.Spatial-temporal resolution5.Data Documentation, Quality & Richness6.Interoperability
How did we solve it?1.Technical Web Service Standards2.Global Standards for Data and Metadata3.Scientists’ Requirements4.IOOS-Specific Requirements
What did we solve?1.Serve TDS Sampling Details
How did we solve it?•(same as above)
What did we solve?1.Serve TDS Sampling Details
How did we solve it?•(same as above)
Credit to Philip Goldstein (OBIS-USA)
IOOS Biological Data ProjectWhat Did We Solve? (Agency View)
Implemented Biological Standards
Showed originators how to expose data
Made data use easier and more reliable
Sources
Apps
Credit to Philip Goldstein (OBIS)
What’s next?
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• Refine/improve data services at
http://pacioos.org• National Implementation of IOOS DMAC for
Biological data services through the U.S. IOOS Regional Associations with collaboration with OBIS
• FY12
- Potential CalCOFI Data in CenCOOS and SCCOOS-
priority region for IEA
