Agenda for the keynote session (3A)
Time:Tuesday 1st September, 9:00 – 10:30 CEST; Location: LMU main building, room E004; Chair: Dieter Kranzlmüller
Keynotes in the session
Anton Frank “Environmental Computing – More than computing environmental models?” (slides)
Sanna Sorvari “European and International Collaboration in Climate and Environmental Research”(slides)
Julio Serje, UNISDR “Towards the use of super-computing resources in the Global Risk Model” (slides)
Prof. Dr. Wilco Hazeleger, Netherlands eScience Center (NLeSC), Amsterdam, NL/Wageningen University, Wageningen, NL/KNMI, De Bilt, NL “Can e-Science transform climate science?” (slides)
Speaker bios and talk abstracts
Dr. Anton Frank
Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities (LRZ), Garching bei München, Germany
Anton Frank is the research coordinator at LRZ and supervisor of projects funded by third parties, including major infrastructure initiatives such as the PRACE joint supercomputing initiative. He coordinates LRZ’s collaborations with earth and environmental scientists and is a member of the steering committee of several projects and initiatives in the environmental computing domain, such as VERCE and the Bavarian project Virtual Alpine Observatory (VAO-II). He received his doctoral degree in computer science from TUM for his work on efficient algorithms and coupled systems.
Prof. Dr. Wilco Hazeleger
Netherlands eScience Center (NLeSC), Amsterdam, NL Wageningen University, Wageningen, NL KNMI, De Bilt, NL
Scientific understanding of current and past changes in the environment and predictions into the future, when human activities will severely impact the environment, involves extensive data research and computational studies.
Environmental research questions are characterized by processes which cover large ranges of spatial and temporal scales. Many relevant processes are described by known physical and chemical processes, often described by partial and ordinary differential equations. Although (numerical) solutions to these equations are often well known, the complexity and uncertainties in initial and boundary conditions, as well as interactions between subsystems, make environmental research extremely complex. Moreover, in many studies on recent and future changes, the behavioral human component becomes relevant which is not unequivocal described in mathematical formulations.
eScience technologies aid in addressing these scientific issues. New hardware architectures, which need to be energy efficient, are being used to make large scale computations at unprecedented detail possible. The large amounts of data allow for data-driven research approaches. In environmental studies traditional curve fitting and machine learning techniques are surpassed by advanced data assimilation techniques because of the dimension of the problem and the nonlinearities in environmental studies.
In this keynote these aspects are illustrated with large scale computations of complex environmental systems, in particular the interaction between climate and the human activities at the global scale, the analysis of climatological and other environmental data and the fusion of the data in order to improve models and make skillful weather and climate predictions. It is shown that new eScience methodologies can transform environmental sciences beyond current capabilities.
Dr. Sanna Sorvari, Science Coordinator
FMI, Nordic Atmospheric and Earch System Science RI Network
Sanna Sorvari has her scientific background in climate and Arctic research, paleoecology and limnology. She is experienced in coordinating, initiating and planning of international and national research activities in environmental science, especially in the recent years she has worked for establishing ESFRI Environmental Research Infrastructures at the national and European level (e.g. ICOS, ACTRIS, ANAEE. Sorvari has also facilitated the collaborative work of Enviromental RIs at the European level (Chair of the ENVRI stakeholders’ Advisory Board) and at the international level (WP leader for COOPEUS-project, member of Belmont Forum’s Env. data management action). She is also a member of H2020 Expert Advisory Board for RIs and e-RIs. In addition, she is working on Joint Programming, especially in JPI Climate as a co-chair of Working Group on Mowing towards Reliable Climate Predictions and as a member of the JPI Climate Management Board.