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3rd EGEE User Forum

11–14 Feb 2008
<a href="http://www.polydome.org">Le Polydôme</a>, Clermont-Ferrand, FRANCE
Europe/Zurich timezone

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Session

Earth Science

ES
11 Feb 2008, 16:00
<a href="http://www.polydome.org">Le Polydôme</a>, Clermont-Ferrand, FRANCE

<a href="http://www.polydome.org">Le Polydôme</a>, Clermont-Ferrand, FRANCE

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  1. 24. Earth Science Application overview in EGEE infrasctructure
    Dr Monique Petitdidier (IPSL)
    11/02/2008, 16:00
    Scientific Results Obtained Using Grid Technology
    Oral
    Due to the large variety of ES applications it is not possible to describe all the results obtained. However some ES applications, already ported, provide scientific results published in international journal and conference proceedings, and included in PhD report. Those results are a mean to convince the ES community of the potentiality of the Grid infrastructure like EGEE. The ES applications...
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  2. 83. Dissemination and exploitation of Grids in Earth Science
    Dr Ladislav Hluchy (Institute of Informatics, Slovakia)
    11/02/2008, 16:30
    Application Porting and Deployment
    Oral
    The key requirements of ES applications on data management, job management and portal technology have been identified and analyzed in five ways: (1) A panel of representative ES applications have been analysed; (2) Existing data management tools and policies that are being used in ES applications are surveyed in order to find common required features of ES community; (3) The existing Grid data...
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  3. 126. Long range air pollution transport over Europe, studied on the Grid
    Dr Tzvetan Ostromsky (IPP - BAS, Sofia, Bulgaria)
    11/02/2008, 16:50
    Scientific Results Obtained Using Grid Technology
    Oral
    The Danish Eulerian Model (DEM) is a powerful air pollution model, designed to calculate the concentrations of various dangerous species over a large geographical region (e.g. Europe). This is a huge computational task and requires significant resources of storage and CPU time. Parallel computing is essential for the efficient practical use of the model. However, it is not sufficient when a...
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  4. 85. Grid computing for wildfire danger assessment: porting RISICO in glite
    Dr Stefano Dal Pra (INFN)
    11/02/2008, 17:10
    Application Porting and Deployment
    Oral
    RISICO works on a set partitioned on identical and algorithmically independent squared cells.Computing a cell requires "cell status" and meteo data and produces a "next status" as also the wanted output of the simulation. A RISICO run on the Italian territory with cells of 1 km^2 requires approximatively the computing of 330.000 cells and 150Mb of input data, producing 1Gb of output data...
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