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HPSC TerrSys Fall School 2016

last modified Apr 25, 2016 06:12 PM
The Centre for High-Performance Scientific Computing in Terrestrial Systems (HPSC TerrSys) offers a Fall School for Master- and PhD students as well as PostDocs interested in Terrestrial Modelling and High-Performance Scientific Computing.
Event of interest
Oct 10, 2016 01:00 PM to Oct 14, 2016 01:00 PM (Europe/Vienna / UTC200)
Bonn (Germany)
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The objectives of this applied course is to provide the theoretical and technical context of terrestrial modeling in high-performance scientific computing (HPSC) environments utilizing stand-alone and coupled hydrologic, land surface and atmospheric models.
Utilizing the Terrestrial Systems Modeling Platform (TerrSysMP), the course will take a complete tour of terrestrial modeling and HPSC in connection with real-world observations and data assimilation including

  • setting up a terrestrial model and performing simulations in massively parallel supercomputer environments at the Jülich Supercomputing Centre,
  • parallel performance analysis and profiling,
  • parallel data assimilation using TerrSysMP-PDAF (Parallel Data Assimilation Framework), and
  • post-processing and visualization in the age of big data.

Keynote Speakers

  • Olaf Kolditz, Helmholtz Centre for Environmental Research, Germany
  • Reed Maxwell, Colorado School of Mines, U.S.A.
  • Lars Nerger, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Germany
  • Christoph Schär, ETH Zurich, Switzerland
  • Sophie Valcke, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, France

Learning Outcomes

Guided by international experts and prominent guest speakers, completion of the course will provide the participants with the generic capabilities of terrestrial modeling and data assimilation in supercomputing environments with a focus on TerrSysMP(-PDAF) including parallel performance analysis and profiling utilizing freely available software tools, and handling of very large data sets in the analyses and visualization process.

Target Audience and Prerequisites

  • Master or PhD students, PostDocs with a deep interest in terrestrial modeling (hydrology, land surface, atmosphere)
  • Basic knowledge of LINUX/UNIX and programming languages such as R, Python, C/C++, or FORTRAN as well as data formats such as NetCDF is an advantage

Registration deadline

30 April 2016 (later registrations might be considered but places are limited)

The school is supported by Geoverbund ABC/J and is free of charge for its members.

Filed under: School, Event of interest