P1253814614jBgDK

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Applications within environmental science
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Environmental eScience
From global ...
to molecular
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NERC e-Science projects

• GENIE (Paul Valdes, Bristol)
• GODIVA (Keith Haines, Reading)
• NERC DataGrid (Bryan Lawrence, CCLRC RAL)
• climateprediction.net (Myles Allen, Oxford)
• eMinerals (Martin Dove, Cambridge)
• NIEeS (Martin Dove, Cambridge)
• Reading e-Science Centre (Keith Haines, Rachel
  Harrison)

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GENIE

• Grid-Enabled Integrated Earth System model
• Main aim is to create a distributed,
  component-based model of the earth system for the
  study of long-term climate change and
  palaeoclimate
• Then model will incorporate components
  representing atmosphere, ocean, land surface,
  ice, ocean and land biogeochemistry, ocean
  sediments
• The project involves developing novel computing
  techniques for the model framework, integration,
  data management, and visualization

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GENIE
Response of Atlantic circulation to freshwater
forcing
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GENIE

• New ways of working
• Web Portal for composing executing simulations,
  retrieving results
• Use of flocked Condor pools (London, Southampton)
  and Beowulf clusters
• Data client for post-processing

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GODIVA

• Grid for Ocean Diagnostics, Interactive
  Visualisation and Analysis
• Aims to quantify the thermohaline circulation via
  analysis of model results and observational data
• Developing Web Services for performing common
  tasks on oceanographic data
• Data extraction, processing, analysis,
  visualisation
• These Services will be composed into workflows
  to create flexible, distributed applications
• collaborating with other e-Science projects (e.g.
  myGrid) in this matter

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GODIVA Data Portal

• Web-based, similar to Live Access Server
• Users select area of interest and can download
  data or create movies in matter of seconds or
  minutes
• Uses distributed computing for visualisation

See demonstration
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NERC Data Grid

• Objective is build a grid that makes discovery,
  delivery and use of data much easier than it is
  now
• Standards compliant (ISO 19115, 19118), semantic
  data model for maximum interoperability
• Data can be stored in many different ways (flat
  files, databases)
• The project makes a clear separation between
  discovery and use of data
• Initial focus is on NERCs holdings of
  atmospheric and oceanographic data

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climateprediction.net

• Have created extremely powerful and distributed
  climate modelling facility by running model
  simulation on home computers (cf. SETI_at_home)
• Initial stage is to launch ensemble of coupled
  simulations of 1950-2000 and compare with
  observations.
• This is to be followed by runs up to 2050 under a
  range of natural and anthropogenic forcing
  scenarios.
• Investigates sensitivity of climate system to
  increasing CO2 with range of parameter values

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climateprediction.net

• Already largest climate model ensemble ever (by
  factor of gt200)
• gt45,000 users, gt15,000 complete model runs,
  gt1,000,000 model years in 3 months (this is
  equivalent to 1.5 Earth Simulators)

Large range of sensitivities found
10K
2K
See demonstration
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eMinerals

• Models the atomistic processes involved in
  environmental issues (radioactive waste disposal,
  pollution, weathering)
• Very large-scale molecular dynamics models
• Order-N quantum mechanical models
• Complex fluid-mineral interfaces
• embedded clusters links simulations of various
  sophistication to cover greater ranges of scales
• first use of quantum Monte Carlo techniques in
  mineral sciences

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eMinerals

• Have constructed minigrid across institutions to
  run code
• 30 scientists in 8 institutions
• Users submit jobs using a Web Portal
• This integrates the CCLRC Data Portal with the
  HPC Portal
• Developing tools for collaborative visualisation
  across the virtual organisation
• Collaborating with Peter Murray-Rust (Cambridge)
  to extend the Chemical Markup Language (CML) for
  computational chemistry

See demonstration
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Reading e-Science Centre

• Centre of Excellence in environmental e-Science
• Specialises in atmospheric and ocean science
• Started November 2003
• Collaboration between ESSC and Computer Science
• Activities building Web Services, infrastructure
  (clusters), local community (uni and beyond),
  external outreach into industry and govt.
  agencies, collaboration with NIEeS

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Summary

• Portfolio of NERC escience spans a wide range of
  issues
• Data management
• Creation of computing grids
• Development of portals to give access to
  resources and visualisation

Scope for collaboration for future opportunities
Demonstrations over lunch and tea break, and
information about opportunities this afternoon