Grid in earth sciences

Monique Petitdidier (1) , R. Cossu (2) , P. Mazzetti (3) , P. Fox (4) , H. Schwichtenberg (5) , W. Som de Cerff (6)

1 SPACE - LATMOS
2 ESRIN - ESA Centre for Earth Observation
3 IMAA - Institute of Methodologies for Environmental Analysis of the National Research Council [Italy]
4 RPI - Rensselaer Polytechnic Institute
5 Fraunhofer SCAI - Fraunhofer Institute for Algorithms and Scientific Computing
6 KNMI - Royal Netherlands Meteorological Institute

The Earth Sciences (ES) community, with its mosaic of disciplines and players such as academia, industry, national surveys, international organizations, has specific requirements described next. In particular, any observation depends on four coordinates (three spatial dimensions and time) and then needs geospatial tools for its use. The data policy is very complex and strict, as many real-time data may be strategic for the country and/or have an economic impact. In addition, the ES community provides short-term and medium-term predictions of weather and natural hazards in real-time and requires for those tasks immediate availability of resources by advance reservation or pre-emption. Model simulations of a host of phenomena relating to the Earth and its space environment need access to various large sets of data distributed geographically in different data centres. The various sources of data, among others, include satellite missions, observational networks, large instruments and simulations.

Domaines: Océan, Atmosphère; Physique Atmosphérique et Océanique [physics.ao-ph]

Monique Petitdidier, R. Cossu, P. Mazzetti, P. Fox, H. Schwichtenberg, et al.. Grid in earth sciences. Earth Science Informatics, 2009, 2 (1), pp.1-3. ⟨10.1007/s12145-009-0028-5⟩. ⟨hal-00399780⟩