Grid for Ocean Diagnostics, Interactive Visualisation and Analysis GODIVA - PowerPoint PPT Presentation

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Grid for Ocean Diagnostics, Interactive Visualisation and Analysis GODIVA

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Grid for Ocean Diagnostics, Interactive Visualisation and Analysis GODIVA – PowerPoint PPT presentation

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Title: Grid for Ocean Diagnostics, Interactive Visualisation and Analysis GODIVA


1
Grid for Ocean Diagnostics, Interactive
Visualisation and Analysis (GODIVA)
2
Basic capabilities
3
Web Services
  • Powerful way to implement distributed computing
    modular, loosely-coupled
  • Platform neutral
  • Message passing in machine-independent form
  • Existing code can be easily converted to WS form
  • Client can be desktop, handheld PC, mobile phone,
    another Web Service, etc
  • Future Grid Services
  • Extend WS to add features to help Grid computing

4
Web and Grid servicesfor large model data sets
  • (Data discovery) NERC DataGrid
  • Distributed Data Management Layer (GADS)
  • Data Delivery Service (http, ftp, gridftp,
    security)
  • Visualisation Services (Server side, distributed,
    client side)
  • Data Transformation services (interpolation,
    re-mapping)
  • Diagnostics and intercomparison services (Grid
    Services)

5
Grid Access Data Service (GADS)
dataQuery()
Data (GRIB, NetCDF, HDF)
6
Data sets currently served
  • Met Office real time ocean forecasts at 1, 1/9
    resolution
  • ECMWF surface Met conditions (10 day forecasts)
  • High Resolution ocean model data (1/12 OCCAM)
  • Some satellite data e.g. TRMM (provided by SOC)

7
Bringing Web Services together
a.k.a. Orchestration
Perform diagnostics
Compare datasets
Visualise results
Convert format
8
GODIVA Data Portal
(movie)
9
The Future
  • Reading e-Science Centre (ReSC)
  • Promote Web and Grid Service technology across
    environmental science community Open Source
  • Academic community (Data Assimilation Research
    Centre)
  • Met Office, Environment Agency
  • ECMWF and EU Framework e.g. MERSEA
  • Commercial sector (SEEDA project, BMT and
    Maritime Coastguard Agency for Oil spill, Search
    and Rescue)
  • Further collaborations and inter-operability with
    other environmental science Grids

10
Conclusions
  • Developing techniques and tools for working with
    very large data sets
  • Of general use, not just for oceanographers
  • Web Services are very important
  • Enables collaboration across institutions and
    national borders
  • Applications to both public and commercial sectors
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