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DRIHM presents an interesting video explaining the objectives and best practices of the project

frame video

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In the framework of EGU the European Geosciences Union General Assembly 2014, Vienna 27 April – 02 May, the DRIHM partners organize a session in cooperation with the two European projects EGI and PRACE

ICT-based hydrometeorology science and natural disaster societal impact assessment

Conveners: Antonio Parodi, Nicola Rebora, Andrea Clematis, Dieter Kranzmueller, Michael Schiffers, Gergely Sipos, Peter Stadelmeyer
Deadline for abstract submission: 16 January 2014

Hydro-Meteorology Research (HMR) is an area of critical scientific importance and of high societal relevance.
It plays a key role in guiding predictions relevant to the safety and prosperity of humans and ecosystems from highly urbanized areas, to coastal zones, and to agricultural landscapes. Of special interest and urgency within HMR is the problem of understanding and predicting the impacts of severe hydro-meteorological events, such as flash-floods and landslides in complex orography areas, on humans and the environment, under the incoming climate change effects.
At the heart of this challenge, lies the ability to have easy access to hydro-meteorological data and models, and to facilitate the collaboration between meteorologists, hydrologists, and Earth science experts for accelerated scientific advances in hydrometeorological research.
This session, organized in cooperation with EGI and PRACE, is intended to attract the interest and promote the discussion between scientists from HMR and ICT communities, together with delegates from relevant European and worldwide stakeholders about how to further boost the research excellence and competitiveness in the fields of hydrometeorological research and ICT research by bridging the gaps between these two scientific communities.
Special emphasis is given to contributions reporting about e-Infrastructures/cyberinfrastructure for hydrometeorology and related Earth Science disciplines, new paradigms for data sharing as well as the emergengy topic of urgent computing in Earth science. Results concerning the applications of new grid, high-throughput, and high-performance computing services to the study of extreme hydrometeorological events are also encouraged.


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