Session 3 Virtual Observatories, Data Bases and new Tools Convenor : C. C. Harvey CNRS / Centre d’Etude Spatiale des Rayonnements Toulouse, France Centre de Données de la Physique des Plasma : a multi-mission data centre run collaboratively by : • CNES for technological aspects of data archiving • CNRS for the user interface and access tools ESWW-3 Session 3 1
Objectives • The success of a Space Weather service will depend upon its ability to process a multitude of diverse data products adequately, and quickly. • Space Weather is not alone. The ESWW 3 Session 1 poster by Christian Jacquey et al. concludes “A virtual Observatory needs to be built for targeting and providing heterogeneous and pluri-disciplinary data, and help to perform their integrated analysis”. • The purpose of this session is to examine what exists : – specifically for space weather, or – elsewhere, and may be of interest to this community. ESWW-3 Session 3 2
Oral Presentations (1/2) • 15: 30 Introduction • 15: 45 A New Integrated European Space Weather Portal, K. Stegen • 16: 00 Updates & Developments of the SWENET Software Infrastructure P. Beltrami • 16: 15 Recent Developments Towards a Solar System Virtual Observatory C. C. Harvey • 16: 30 – 16: 55 : Coffee break (only 25 minutes ! ) ESWW-3 Session 3 3
Oral Presentations (2/2) • 16: 55 (Sollicited) The Use of Grid Technology in Large Scale Data Processing Collaboration Environments S. G. Ansari • 17: 15 IPSAT: A Virtual Observatory for Radiation Belts S. Bourdarie 17: 30 Benefits of an Automated Web Image Extraction System for Space Weather Forecasting S. Behnami • 17: 45 NEMO: Novel 'EIT Wave' Machine Observing Tool O. Podladchikova • 18: 00 Automatic Flare Detection and Tracking of Active Regions in EUV images V. Delouille • 18: 15 Early Warning of Solar Proton Events ESWW-3 Session 3 M. Nunez 4
Poster Presentations Session 3 poster will be presented tomorrow, Wednesday, 12: 00 -13: 00 A total of 17 posters, of which • 7 on data extraction : 1, 2, 3, 4, 6, 7, 13 • 6 on instrumentation and techniques : 5, 8, 10, 11, 14, 15 • 4 on data bases : 9, 12, 16, 17 ESWW-3 Session 3 5
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