u.s. integrated ocean observing system data access services coastal geotools: advances in federal...
DESCRIPTION
What is DMAC? DMAC is the collection of people, process, and technology that enable the dissemination of diverse and distributed data sets using the WWW as the platform. IOOS is deploying, and in some cases building, infrastructure to enable this dissemination.TRANSCRIPT
U.S. INTEGRATED OCEAN OBSERVING SYSTEM DATA ACCESS SERVICES
Coastal Geotools: Advances in Federal Data Access ServicesHassan Moustahfid, Chris Duncombe Rae, Derrick Snowden, Becky Baltes, and Robert Ragsdale, NOAA/US
April 1, 2015
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U.S. IOOS®: Program Overview
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• Codified in law (P.L. No 111-11, March 2009)
• Partnership effort that leverages dispersed national investments to deliver ocean, coastal and Great Lakes data relevant to decision-makers
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Coastal Component– 17 Federal agencies– 13 regional partners– Academia & Industry
Global Component– US contribution to GOOS– 64% of the Global Climate
Ocean Observing System completed
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What is DMAC?
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DMAC is the collection of people, process, and technology that enable the dissemination of diverse and distributed data sets using the WWW as the platform.
IOOS is deploying, and in some cases building, infrastructure to enable this dissemination.
Technical Solutions 4
A layered view of the primary roles within IOOS/DMAC
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Raw data
Knowledge
Exposing Data!
52014-04-15Implementation across the enterprise
Functional DACs complement the regional footprint
Anatomy of an RA DAC
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Operational Use of HF Radar Surface Currents for Search And Rescue
Surface Currents
Search And Rescue Optimal Planning
System (SAROPS)
Data Acquisition
Data Product Generation & Management
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Technical solutions 8
HFR SAROPS as an example of the layered architecture in practice.
Application or Service Provider
Brokering Systems
Interoperability Services for Data Distribution on the Web
Data, Models, Metadata, Raw information
Service, Data, Asset Catalogs
Intermediate Product Developers
THREDDS Servers
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IOOS Model Data Interoperability Design
ClientsNetCDF-Java
NetCDF4-Python ERDDAP
ROMS
ADCIRC
HYCOM
SELFENCOM
FVCOM
Observed data (buoy, gauge, ADCP, glider)
Matlab PanoplyIDV ArcGIS Python Godiva2
Com
mon
D
ata
Mod
el
Apply Standardization
Distribute viaWeb Services
OPeNDAP+CF WCS
NetCDF Subset WMS
ncISO
SOS
GridUgridTimeSeriesProfileTrajectoryTimeSeriesProfile
Application or Service Provider
Brokering Systems
Interoperability Services for Data Distribution on the Web
Data, Models, Metadata, Raw information
2015-04-01Advances in a Distributed Approach for Ocean Model Data Interoperability; http://www.mdpi.com/2077-1312/2/1/194
Technical solutions 11
Use Case: Model Data comparison using web services
33 Tb 4D model output on a triangular mesh grid
CO-OPS offers 1019 data sets via their SOS containing water level and met parameters
Plot the time series of observed water level and model simulation sampled at the observation locations, via web services.
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http://tidesandcurrents.noaa.gov/map/
http://nbviewer.ipython.org/urls/raw.githubusercontent.com/rsignell-usgs/notebook/fef9438303b49a923024892db1ef3115e34d8271/CSW/IOOS_inundation.ipynb
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Model Data comparison con’t
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Modify in your browser; Runs in the cloud; No need to download data;
Multi-sensor Improved Sea-Surface Temperature for IOOS
68 GHRSST Product Lines Now Archived - http://data.nodc.noaa.gov/geoportal/rest/find/document?searchText=title%3AGHRSST&start=1&max=100&contentOption=intersecting&f=searchPage&expandResults=True
Multi-scale Ultra-high Resolution (MUR) SST analysis, Global, 0.011 Degree, Daily
http://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST.largePng?analysed_sst[(2015-03-30T09:00:00Z)][(0.00549316):(55.0031)][(-134.995):(-39.9957)]&.draw=surface&.vars=longitude|latitude|analysed_sst&.colorBar=|||||
Access MethodsTHREDDSHyraxLive Access ServerWMSWCSERDDAP
Available FormatsnetCDFImagesEsri ASCIIJsonMatlabOPeNDAP
Comparison of 1km Data Sets
MODIS SST (4 micron)
Courtesy NASA GSFC OBPG
JPL G1SST
Courtesy Yi Chao, UCLA
A network of underwater profiling gliders
catalog.ioos.us/gliders
Multi-disciplinary and multi-mission capabilities
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Climate/Ecosystem/Fisheries Management/Water Quality
Hurricane Forecasting Response to Oil Spill
The SoCal Niño IndexCalCOFI Fish Tracking
HAB
Deep Water Horizon Alaska
Hypoxia
Exercising the Network
Glider DAC Update
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• National standards to ease exchange of data from regional glider operators
• Real-time distribution to non-federal and federal partners
• Share your data• Let us make it easier• Archiving
Biological and Physical Data IntegrationBeta version of marine mammal health mapping tool
oceanview.pfeg.noaa.gov/ATN