IN33E:
Innovative Data-Driven Platforms and VREs for Complex Earth, Space, and Environmental Sciences Applications Posters
Submit an Abstract to this Session
Session ID#: 56641
Session Description:
Achieving research progress in Earth and Space sciences depends on managing huge volumes of data for pre-processing, modeling, analysis and visualization: such requirements routinely stretch systems, service providers and users to their limits. Research platforms need to provide users with innovative services, front-ends and targeted products, that transparently reach across infrastructure and data boundaries. This transition requires moving data processing and analysis away from the user and closer to the data. Virtual Research Environments (VREs) (aka Virtual Laboratories and Science Gateways) support such online collaborative research and can range from small groups of investigators to large international initiatives: they can simply be sharing data or facilitating complex processing workflows on HPC. This session focusses on innovative approaches to managing huge data volumes and complex infrastructure interactions including architectures, workflow systems, provenance, front-ends and services designed to enable large-scale data-driven research products; methods of sharing developments; recognized challenges; and future visions.
Primary Convener: Christian Page, CERFACS, Climate Modeling and Global Change, Toulouse, France
Conveners: Rosa Filgueira, University of Edinburgh, EPCC, Edinburgh, EH9, United Kingdom, Iraklis Angelos Klampanos, National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Greece and Sandra Gesing, University of Notre Dame, Center for Research Computing, Notre Dame, IN, United States
Primary Liaison: Christian Page, CERFACS, Climate Modeling and Global Change, Toulouse, France
Chairs: Christian Page, CERFACS, Climate Modeling and Global Change, Toulouse, France and Iraklis Angelos Klampanos, National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Greece
OSPA Liaison: Sandra Gesing, University of Notre Dame, Center for Research Computing, Notre Dame, IN, United States
Abstracts Submitted to this Session:
Iraklis Angelos Klampanos1, Malcolm Atkinson2, Christian Page3, Antonis Koukourikos1, Federica Magnoni4, Andreas Rietbrock5 and Vangelis Karkaletsis1, (1)National Center for Scientific Research Demokritos, Athens, Greece, (2)University of Edinburgh, Edinburgh, United Kingdom, (3)CERFACS, Climate Modeling and Global Change, Toulouse, France, (4)Istituto Nazionale di Geofisica e Vulcanologia, Roma, Italy, (5)Karlsruhe Institute of Technology, Geophysical Institute (GPI), Karlsruhe, Germany
Benoit Pirenne1, Eric Guillemot1, Maia Hoeberechts2, Reyna Jenkyns1, Michael G Morley1, Gordon Rees1, Dr. Richard K Dewey, Ph.D.3 and The Software Engineering Team, the Data Team and the Data Stewardship Team at Ocean Networks Canada, (1)Ocean Networks Canada, Victoria, BC, Canada, (2)Ocean Networks Canada, University of Victoria, Victoria, BC, Canada, (3)Univ. of Victoria, Victoria, BC, Canada
Ben Biffard1, Melissa MacArthur1, Eric Guillemot1, Maia Hoeberechts2, Michael G Morley1, Benoit Pirenne1 and MacArthur Button3, (1)Ocean Networks Canada, Victoria, BC, Canada, (2)Ocean Networks Canada, University of Victoria, Victoria, BC, Canada, (3)Ocean Networks Canada, Victoria, Canada
Richard Arthur McAllister, Organization Not Listed, Washington, DC, United States; National Snow and Ice Data Center, Boulder, CO, United States and David W Gallaher, University of Colorado Boulder, National Snow and Ice Data Center, Boulder, CO, United States
Weiming Hu, Pennsylvania State University Main Campus, Department of Geography, University Park, United States, Guido Cervone, Pennsylvania State University Main Campus, Department of Geography and Institute for Computational and Data Sciences, University Park, PA, United States, Vivek Balasubramanian, Rutgers University, New Brunswic, United States, Matteo Turilli, Rutgers University, New Brunswick, United States and Shantenu Jha, Rutgers University Newark, Department of Electrical and Computer Engineering, Newark, NJ, United States
Yuya Matsubara, University of Aizu (Now NTTDocomo Inc.), Tokyo, Japan, Hironori Fukuchi, University of Aizu (Now Aizu Medical Center), Fukushima, Japan, Yoshiko Ogawa, University of Aizu, Fukushima, Japan and Yohei Hayashi, Japan Meteorological Agency, Tokyo, Japan
Paul Crocker1, Jan Dousa2, Mathilde Vergnolle3, Carine Bruyninx4, Machiel Simon Bos5, Rui Manuel Silva Fernandes6, Benedikt Ofeigsson7, Petr Bezdeka8, Rui Cardoso9, Rafael Couto9, Andras Fabian10, Juliette Legrand4, Khai-Minh Ngo11, Tim Sonnemann12, Pavel Vaclavovic2 and EPOS-GNSS Team, (1)Universidade da Beira Interior, Covilhã, Portugal, (2)Research Institute of Geodesy, Topography, and Cartography, Geodetic Observatory Pecny, Ondrejov 295, Czech Republic, (3)CNRS, Paris Cedex 16, France, (4)Royal Observatory of Belgium, Brussels, Belgium, (5)Instituto Dom Luiz (IDL), University of Beira Interior (UBI), SEGAL, Covilhã, Portugal, (6)Instituto Dom Luiz (IDL) - Universidade da Beira Interior, Covilhã, Portugal, (7)Icelandic Meteorological Office, Reykjavik, Iceland, (8)Research Institute of Geodesy, Pecny, Czech Republic, (9)Universidade da Beira Interior, SEGAL (UBI/IDL), Covilhã, Portugal, (10)Observatoire Royal de Belgique, Brussel, Belgium, (11)Géoazur - Université Nice Sophia Antipolis, Valbonne, France, (12)University of Iceland, Reykjavik, Iceland
