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DEGREE

DEGREE. Partner: Institute Informatics, SAS (IISAS, coordinator) CNRS (F), CGG (F), KNMI (NL), Dutch SPACE (NL),ESA (IT) FHG/SCAI (DE), GSRAS (RUS), University de Neuchatel (CH). Atmosphere. Cryosphere. Biosphere. Ocean. The Earth Science world. Coupled and inter-disciplinary processes.

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DEGREE

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  1. DEGREE Partner: Institute Informatics, SAS (IISAS, coordinator) CNRS (F), CGG (F), KNMI (NL), Dutch SPACE (NL),ESA (IT) FHG/SCAI (DE), GSRAS (RUS), University de Neuchatel (CH) INSERT PROJECT ACRONYM HERE BY EDITING THE MASTER SLIDE (VIEW / MASTER / SLIDE MASTER)

  2. Atmosphere Cryosphere Biosphere Ocean The Earth Science world Coupled and inter-disciplinary processes Complex web of sensor Optimal Trajectory First guess Field Noisy observations Complex data analysis time

  3. Objectives • Disseminate, promote uptake of Grid in wider ES community and integrate newcomers • Reduce the gap between ES Users and Grid Technology • Explain and convince ES users of Grid benefits and capability to tackle new and complex problems INSERT PROJECT ACRONYM HERE BY EDITING THE MASTER SLIDE (VIEW / MASTER / SLIDE MASTER)

  4. DEGREE Challenges • Diversity of Grid middleware and tools • Problems of porting applications • Need standardization • Evaluating technologies that are under development • Need tight cooperation with developers to follow the evolution • Developers can benefit from the feedbacks • Still gaps between scientific users and grid technologies • Use portal technologies to hide Grid complexity • Improve Grid awareness of ES community • Complex requirements from applications • Different requirements of different applications • Applications may use non-standardized protocols/tools • Need to find common denominator of application requirements and existing tools functionality

  5. GRID and Earth Science • Grid has great potential for ES: see results in DataGrid, CrossGrid, EGEE…. • Opportunity to larger scale analysis • Application on alert • Interactive collaboration on data access and exchange • ES applications need consolidated/stable GRID infrastructures • Not ES role to develop middleware • community wait for easier and operational way to interface applications • enable more processing-intensive, data-intensive and complex applications (data fusion, data assimilation, data mining, modelling …) • e-collaboration, • e.g. sharing of data sources, tools, means, models, algorithms … • Participation to international cooperative development (e.g. GTOS, GEOSS,…)

  6. Key technology advancement • Follow technology advancement of Grid projects • Evaluating the technologies while they are still under development • Tight cooperation with developers to follow the direction of technology development • Actively give requirements and feedbacks from ES community to developers and influence the technology development • Data management • Job management • Web services

  7. Overview of Project EGEE & other GRIDS Earth Science Community ESR VO EGEODE VO Requirements Applications Technologies Dissemination Feedback

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