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Unidata and Oceanography Through the Ages

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Unidata and Oceanography Through the Ages. Rich Signell USGS Coastal and Marine Science Center Woods Hole, MA & NOAA Integrated Ocean Observing System (IOOS) Program Office Silver Spring, MD Unidata 25 th Anniversary Oct 16, 2009. Typical Ocean Model Grid (curvilinear structured grid). - PowerPoint PPT Presentation
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Unidata and Unidata and Oceanography Oceanography Through the Ages Through the Ages Rich Signell Rich Signell USGS Coastal and Marine Science Center USGS Coastal and Marine Science Center Woods Hole, MA Woods Hole, MA & & NOAA Integrated Ocean Observing System NOAA Integrated Ocean Observing System (IOOS) Program Office (IOOS) Program Office Silver Spring, MD Silver Spring, MD Unidata 25 Unidata 25 th th Anniversary Anniversary Oct 16, 2009 Oct 16, 2009
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Page 1: Unidata  and Oceanography Through the Ages

Unidata and Unidata and Oceanography Oceanography

Through the AgesThrough the AgesRich SignellRich Signell

USGS Coastal and Marine Science USGS Coastal and Marine Science CenterCenter

Woods Hole, MAWoods Hole, MA&&

NOAA Integrated Ocean Observing NOAA Integrated Ocean Observing System (IOOS) Program OfficeSystem (IOOS) Program Office

Silver Spring, MDSilver Spring, MD

Unidata 25Unidata 25thth Anniversary AnniversaryOct 16, 2009Oct 16, 2009

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Typical Ocean Model GridTypical Ocean Model Grid(curvilinear structured grid)(curvilinear structured grid)

Stretched surface and terrain following vertical coordinates

Curvilinear orthogonal horizontal coordinates

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In the beginning (25 years In the beginning (25 years ago)…ago)…

…there was darkness…there was darkness

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US Integrated Ocean Observing System US Integrated Ocean Observing System (IOOS(IOOS®®))

IOOSIOOS®® Plan defines: Plan defines:• Global ComponentGlobal Component• Coastal ComponentCoastal Component

17 Federal Agencies17 Federal Agencies 11 Regional Associations 11 Regional Associations

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Problem: Each institution had a Problem: Each institution had a custom web page display of model custom web page display of model

forecasts. How to compare to data forecasts. How to compare to data and to each other? and to each other?

University of Maine

University of Massachusetts - Boston

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Data Interoperability System Data Interoperability System DesignDesign

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THREDDS/NcWMS Web Mapping THREDDS/NcWMS Web Mapping Service for Quick BrowsingService for Quick Browsing

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IDV for more sophisticated IDV for more sophisticated visualizationvisualization

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NetCDF-Java Toolbox for Matlab NetCDF-Java Toolbox for Matlab for scientific analysisfor scientific analysis

Model 1: UMASS-Model 1: UMASS-ECOMECOM

Model 2: Model 2: UMAINE-POMUMAINE-POM

Data: SST 2008-Sep-08 Data: SST 2008-Sep-08 07:3207:32

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SummarySummary

What did we get through the use of Unidata What did we get through the use of Unidata technology? technology? Standards-based delivery of aggregated model data Standards-based delivery of aggregated model data

with minimal burden on the data provider with minimal burden on the data provider Single point of access for regional model resultsSingle point of access for regional model results Model data interoperability via standard softwareModel data interoperability via standard software Multiple modes of access for usersMultiple modes of access for users More eyes on the model resultsMore eyes on the model results More usage of model resultsMore usage of model results Faster feedback to modelersFaster feedback to modelers Improved models!Improved models!

We now have an IOOS THREDDS Catalog that points to We now have an IOOS THREDDS Catalog that points to 17 THREDDS servers running in all 11 IOOS Regions17 THREDDS servers running in all 11 IOOS Regions

So are we done? Well….So are we done? Well….

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Ocean Model Native Grid Type Ocean Model Native Grid Type #2#2

(triangular unstructured grid)(triangular unstructured grid)

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Unidata and Oceanography in Unidata and Oceanography in the Futurethe Future

Develop support for unstructured grids: Need a new Develop support for unstructured grids: Need a new Scientific Feature type in the CDM, new class and Scientific Feature type in the CDM, new class and methods in NetCDF-Java, delivery via WMS in TDS, methods in NetCDF-Java, delivery via WMS in TDS, and visualization in IDV.and visualization in IDV.

Develop protocols and back end software in the Develop protocols and back end software in the TDS to allow server side functions such as TDS to allow server side functions such as subsetting and averaging functions. subsetting and averaging functions.

Strengthen ties between Unidata, the Integrated Strengthen ties between Unidata, the Integrated Ocean Observing System (IOOS), and the NSF-Ocean Observing System (IOOS), and the NSF-sponsored Ocean Observing Initiative sponsored Ocean Observing Initiative CyberInfrastructure (OOI-CI) project. I hope to CyberInfrastructure (OOI-CI) project. I hope to play a role here…play a role here…

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Thank You Thank You Unidata!Unidata!

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Extra SlidesExtra Slides

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Matthew Arrott speaking at the Ocean Observing Initiative Matthew Arrott speaking at the Ocean Observing Initiative CyberInfrastructure kick-off meeting one month ago. This is a CyberInfrastructure kick-off meeting one month ago. This is a 40 million dollar, 5 year project, and there were approximately 40 million dollar, 5 year project, and there were approximately 100 people in the room):100 people in the room):

"Let me explain why Unidata is here. Everytime I go out in the "Let me explain why Unidata is here. Everytime I go out in the field and look at the tools that scientists are using, they are field and look at the tools that scientists are using, they are using Unidata's tools. It is our view that how you get to the CI using Unidata's tools. It is our view that how you get to the CI will be through Unidata's tools. This is why you see us speak will be through Unidata's tools. This is why you see us speak more about infrastructure than about application. We are not more about infrastructure than about application. We are not developing applications that in conflict with the existing developing applications that in conflict with the existing practices of scientists. We are there to accelerate their practices of scientists. We are there to accelerate their practices, to expand their practices. The best way to do that is practices, to expand their practices. The best way to do that is to deploy into the existing operational context and Unidata to deploy into the existing operational context and Unidata represents one of the strongest institutions in the country in represents one of the strongest institutions in the country in terms of supplying applications to the end users."terms of supplying applications to the end users."

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Temperature at 1 m depthTemperature at 1 m depth

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Vertical transects along pathVertical transects along path


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