HR: 09:30h
AN: ED31B-03    [Abstracts]
TI: e-Science and climate applications : The EELA (E-Infrastructure shared between Europe and Latin America) Project.
AU: * rodrigo, a
EM: roabarca@udec.cl
AF: UDEC (Universidad de Concepcion), Víctor Lamas 1290, Concepción, 160-C, Concepción, 160-C, Chile
AU: Richard, M
EM: rmiguel@senamhi.gob.pe
AF: SENAMHI, Jr. Cahuide 785 Jesús María, Lima, 11, Peru
AU: Jose Manuel, G
EM: manuel.gutierrez@unican.es
AF: Universidad de Cantabria, Avda. de los Castros s/n, Santander, 39005, Spain
AU: Claudio, B
EM: claudio@udec.cl
AF: UDEC (Universidad de Concepcion), Víctor Lamas 1290, Concepción, 160-C, Concepción, 160-C, Chile
AU: Mauricio, C
EM: mcarrillo@senamhi.gob.pe
AF: SENAMHI, Jr. Cahuide 785 Jesús María, Lima, 11, Peru
AU: Antonio, C
EM: antonio.cofino@unican.es
AF: Universidad de Cantabria, Avda. de los Castros s/n, Santander, 39005, Spain
AU: Rafael, M
EM: rafael.mayo@ciemat.es
AF: CIEMAT, Avda. Complutense 22, Madrid, 28040, Spain
AU: Jesus, C
EM: jesus.casado@ciemat.es
AF: CIEMAT, Avda. Complutense 22, Madrid, 28040, Spain
AU: Freddy, E
EM: fechever@udec.cl
AF: UDEC (Universidad de Concepcion), Víctor Lamas 1290, Concepción, 160-C, Concepción, 160-C, Chile
AB: Several international projects and collaborations have emerged in the last years due to the increasing demand for computing resources. One important aspect of these initiatives deals with the gridification of computing intensive scientific applications otherwise difficult to run efficiently. The EELA Project (E-Infrastructure shared between Europe and Latin America) is a collaboration of diverse Latin America and Europe Institutions, funded by EU commission under the FP6 which has developed a performance e-infrastructure for e-Science applications in the fields of Biomedicine, High Energy Physics, e-Learning and Climate. Nowadays all the groups have already ported their applications on the EELA Grid and are obtaining first results. This presentation describes EELA, the objective and progress of the climate application, related to regional modeling of El Niño impacts, as well as the intentions for earth sciences applications.
DE: 0520 Data analysis: algorithms and implementation
DE: 0850 Geoscience education research
DE: 1626 Global climate models (3337, 4928)
DE: 1637 Regional climate change
DE: 4922 El Nino (4522)
SC: Education and Human Resources [ED]
MN: 2007 Joint Assembly