1. Dissemination and Exploitation of GRids in Earth sciencE
Earth Science Requirements for Grid
Wim Som de Cerff, KNMI

2. DEGREE DEGREE is a Specific Support Action (SSA) project, aiming to:
Promote GRID technology throughout the Earth Science community
Bridge the ES and GRID communities
10 partners - 7 countries
IISAS
Institute of Informatics, Slovak Academy of Sciences, Slovakia
CNRS
Centre National de la Recherche Scientifique, France
KNMI
Royal Netherlands Meteorological Institute, The Netherlands
UNINE
Université de Neuchâtel, Switzerland
CRS4
Center for Advanced Studies, Research and Development in Sardinia, Italy
SCAI
Fraunhofer Institute, Germany
GCRAS
Geophysical Center Russian Academic Science, Russia
ESA-ESRIN
European Space Agency, Italy
CGG
Compagnie Générale de Géophysique, France
Dutch Space
Dutch Space, The Netherlands

3. DEGREE

4. Earth Science Community
Objective
Disseminate and promote uptake of Grid in wider ES community, integrate newcomers
Eliminate the gap between ES Users and Grid Technology
Convince ES users of Grid benefits and capability to tackle complex problems
Investigate the feasibility of a community wide Earth Science Knowledge Infrastructure
Earth Science Community
Requirements
Technologies
Feedback
Applications
Dissemination
DEGREE
EGEE & various GRIDS

5. Earth Science What is different in Earth Science?
ES deals with geospatial data
in combination with time components (4D)
in various scales and resolutions,
consists of many different domains,
scattered among all countries
in numerous institutes,
using complex applications

6. Earth Science Global, regional, local applications
Alternative use of the data at different time and spatial resolution
Large historical distributed archives
Long term data archives to be exploited
Near real-time access to data
For processing, value adding and dissemination
For now-casting and alert
Models to provide long term trends and forecast
Processing-intensive, data-intensive and complex applications
Data fusion, data assimilation, data mining, modelling …
Integrate different data sources
Link data to technical information and scientific results
Atmosphere
Ocean
Biosphere
Cryosphere
First guess
Optimal
Trajectory
Coupled interdisciplinary processes
Complex data analysis
Noisy
observations
Sub-surface complex modelling
Complex web of sensor

7. ES applications examples
ESA, UTV, KNMI, IPSL- Production (3 algorithms) and validation of 7 years of GOME Ozone profiles
(IPGP) Rapid Earthquake analysis (mechanism and epicenter) CPUs
CGG- Geosciences: Geocluster for Academy and industry
CRS4, UNINE- Modeling seawater intrusion in costal aquifer (SWIMED)
IISAS-Flood of the Danube river-Cascade of models (meteorology, hydrology)
Specfem3D: seismic wave propagation model Benchmark for MPI (2 to 2000CPUs)
DKRZ- climate impacts on agriculture

8. Challenges for DEGREE Degree is preparing the ES Grid future !
Requirements from complex ES applications
Requirements of different ES domains
Applications may use non-standardized protocols/tools
Disseminate ES requirements to Grid Community
EGEE
Other Grid developers
Open Grid Forum (OGF)
Provide test suite
Evaluate Grid middleware, tools and standards
Data management: OGSA-DAI, metadata catalogs, …
Job management: workflow, near real-time job execution, fault tolerance, …
Portal: JSR-168 and WSRF technologies, Gridsphere, OGCE, Sakai, …
Asses Grid capabilities to fulfill ES application needs
Need tight cooperation with developers to follow the evolution
Developers can benefit from the feedbacks
Degree is preparing the ES Grid future !

9. Strategy Collect applications and scenarios
Analyze them for requirements
Create list of ES requirements
Analyse what Grid M/W and tools are available for:
Data management
Job management
Portals
Communicate requirements to developers
Provide application scenarios (test suites)
Provide and explain application needs
Join workshops
Communicate to ES community
Show application results
Join and organize workshops
White paper
Current state of the art
Essential ES needs
Critical success factors

10. Work done User requirements document
Defined ES Families of applications for improvement of:
communication with M/W developers
integration of new applications requirements
tracking requirements
Families defined:
Simple* applications
Complex applications
Complex workflow applications
(* regarding Grid requirements)
Families and their requirements
Complex workflow
Complex
Simple
Simple
Complex
Workflow
Families are disjunctive

11. Work done Surveys of existing Grid M/W created for:
Data management
Workflow management
Portal software
Dissemination: newsletters, conferences, workshops, papers, etc.
Currently composing test suites
Will cover all families and main ES requirements
Consist of ES applications for testing specific M/W components
Freely available
All documents available on:

12. Concluding remarks
ES is a large user community for which Grid / e-Science is an essential improvement
Requirements are stated
Surveys for existing M/W done for:
Data management
Workflow management
Portal software
Application examples are available, test suites are being developed
We can provide support to M/W developers for trying to understand our requirements

13. Questions? All information on: www.eu-degree.eu
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See other DEGREE papers, presentations and posters:
Today's Status of Data Management in Earth Science Yesterday 15:20, Data management session, M. Petitdidier
Job management and control in Earth Science Poster, V. Tran
Workshop on data management and web portals in Sardinia June 14-15, see