Reading e-Science Centre Technical Director Jon Blower ESSC Director Rachel Harrison CS Director Keith Haines ESSC Associated Personnel External Collaborations e-Science for a digitised environment Environmental Science Applications Analysis, modelling and assimilation of climate and real-time data Reading University’s Environmental Systems Science Centre ESSC Meteorology Dept. Centre Global Atm. Modelling Data Assimilation Res. Centre Met Office Units Plant Sciences Dept.

Existing projects GODIVA (NERC pilot project) –Grid for oceanographers to enable distributed analysis and visualisation of ocean data

GODIVA Web Portal ( Allows users to interactively select data for download using a GUI Users can create movies on the fly cf. Live Access Server Useful as browse tool

Existing projects GODIVA (NERC pilot project) –Grid for oceanographers to enable distributed analysis and visualisation of ocean data GADS (Grid Access Data Service) –Web Service for providing access to data (~1 TB at ESSC alone) –Will be part of workflows (e.g. for use in GODIVA) Workflows are groups of Web Services which work together to form a distributed application

Example workflow First Web Service (GADS) extracts data from a server Second Web Service finds the depth of an isotherm in the dataset (from myGrid project) INPUTS OUTPUT

Existing projects GODIVA (NERC pilot project) –Grid for oceanographers to enable distributed analysis and visualisation of ocean data GADS (Grid Access Data Service) –Web Service for providing access to data –Will be part of workflows (for use in GODIVA) Provision of live Met Office data to community –Thousands of users, hundreds of institutions, tens of countries –Esp. for MERSEA (EU model intercomparison project) –Also in future to BMT for oil spill / search and rescue systems

Real-time data access Met Office FOAM data Can easily create subsets of data

Intercomparison of model data Compare results of different ocean models e.g. EU MERSEA project

Existing projects (contd.) TRACK software for identifying weather systems –Computationally intensive but parallel, best run on a distributed system –Would like to do this on many different data sets (e.g. ECMWF)

Future projects Create more Web Services for benefit of community –Collate Web Services written by other people (create UDDI registry) Use satellite / in situ data in addition to model data SEEDA –Provision of Met Office data to BMT

SEEDA project Create prototype of system in which real-time Met Office data are used to predict path of oil spills This is the OSIS software, which currently uses tidal data only: would be improved with real-time Met Office forecasts of ocean currents

Future projects Create more Web Services for benefit of community –Collate Web Services written by other people Use satellite / in situ data in addition to model data SEEDA –Provision of Met Office data to BMT EurOPA –European portal for real-time data for marine hazard analysis (EU) POPPIE –Environment Agency / Met Office pollution tracking software –Re-engineer software to improve architecture: use Web Services Bristol University: simulations of fragmentation in volcanic rocks –Monte Carlo simulations of “virtual” rocks

Technical expertise Strong focus on Web Services –Data access –Data analysis/processing –Data visualisation Creating distributed applications using workflow engines to orchestrate Web Services –Also web portals (cf. Live Access Server) – ESP community Future migration to Grid Services: would like help with OGSA! Question: How to transfer large data sets between Web Services? Use of Condor pool at ESSC

Summary ReSC is engaging with environmental scientists in many disciplines and sectors –Focus on atmosphere/ocean science –Working with universities, govt agencies and commercial sector –Would like to draw on experience of other e-scientists ReSC complements, but is distinct from, NIEeS