See the follow-on EELA-2 Project
The EELA (E-infrastructure shared between Europe and Latin America) project aims at establishing a bridge between the existing e-Infrastructures in Europe and those emerging in Latin America, through the creation of an interoperable Grid Infrastructure - based on the RedCLARA and GÉANT2 networks - for the development and deployment of advanced applications in Biomedicine, High Energy Physics, e-Learning and Climate. EELA is expected to help reducing the digital divide in Latin-America, making available to researchers a high performance e-Infrastructure for advanced investigations, later extendable to a larger community of users. The EELA project has three main objectives:
The EELA consortium involves 21 leading institutions around Europe and Latin America (the Spanish partners are CIEMAT (Coordinator), CSIC-IFCA, Red.ES, UC and UPV.
The EELA project is organized in four Work Packages (WP):
Contribution of the Santander Meteorology Group: Our group contributed in the following workpackages:
Modern climate science deals with different sources of global climate simulations and geographically distributed observational data (surface, atmosphere, ocean, etc.) stored in different platforms and formats. These sources of data can jointly help to solve many important problems, such as the effects of climate change on different regions of interest. To this aim, efficient problem-driven statistical analysis tools are required for discovering knowledge, or useful information, within the huge amount of information. Data mining and machine learning techniques have been developed in the last decades to deal with this task, and different alternatives have been studied to make easier the process in a distributed environment such as the Grid.
Climate Application is composed of three sub-applications working together for forecast climate:
Current knowledge of volcanic eruptions does not yet allow scientists to predict future eruptions. The EGEE and EELA Projects are trying to put the scientific community one step nearer to the prediction asset by means of the sonification of volcano seismograms. Thus, the translation of the patterns of Mount Etna (Italy) and Mount Tungurahua’s (Ecuador) volcanic behaviour into sound waves has been carried out within the context of these Projects.
Data sonification is currently used in several fields and for different purposes: science and engineering, education and training. It acts mainly as data analysis and interpretation tool.
Several tutorials and workshops are frequently organised by the project. The former aims to ensures that all users fully understand the characteristics of the offered grid services and that they have enough technical knowledge to properly use the EELA infrastructure. All training material produced and used in EELA training events has been published in an open repository at http://documents.eu-eela.org/
The main goal of the workshops is to present EELA project to the local authorities, decision makers and scientific community, besides assessing the interest of local institutions to collaborate with EELA.
EELA proposes innovative technologies and strategies. Technologically, the challenge is to efficiently share large amount of data across a wide network area through a global file system. This integrated platform shall enhance the computing capability in Europe and even more in Latin America, thanks to the possibility of redistributing the global computational workload by migrating jobs across national borders, in a way that is totally transparent to end users.
From the strategic point of view, the EELA project will deploy a computing and storage infrastructure through a deep integration of existing national high-end platforms, tightly coupled to a dedicated network by means of advanced Grid software. Strategies of coordinated operation have been identified and agreed. The result will be an integrated infrastructure whose capabilities shall be more efficient than the sum of its constituent parts.
The benefits of the Grid enhanced applications running on the EELA infrastructure are twofold: besides their obvious scientific importance, several of these applications will have a noticeable social impact. New inhibitors for Malaria, Influenza and other neglected diseases (responsible for the daily death of thousands of people), access to Education for isolated people and powerful climate prediction are some good examples.
Tweets by SantanderMeteo