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ParFlow Summer School 2020: postponed to 2021

Modelling surface and subsurface flow on high-performance computers

ParFlow is a parallel, integrated hydrology model that simulates spatially distributed surface and subsurface flow, as well as land surface processes including evapotranspiration and snow. Postponed due to COVID-19 crisis to 2021!

© Dr. Jessica KeuneCopyright: Dr. Jessica Keune

ParFlow ( is a numerical model that simulates the hydrologic cycle from the bedrock to the top of the plant canopy. It integrates three-dimensional groundwater flow with overland flow and plant processes using physically-based equations to rigorously simulate fluxes of water and energy in complex real-world systems. ParFlow is a computationally advanced model that can run on laptops and supercomputers and has been used in hundreds of studies evaluating hydrologic processes from the hillslope to the continental scale. ParFlow is open source ( promoting community of active users and developers interested in advancing computational hydrology and improving hydrologic understanding.

Introduction to ParFlow
The trainee will learn about the basic theory of ParFlow, how to generate all necessary input information to construct basic ParFlow models, and perform simulations. In addition, post-processing and visualization of ParFlow results will be discussed.

Optional day at Forschungszentrum Jülich with campus byke tour, visit of Jülich Supercomputing Centre (JSC), and more (shuttle from/to Bonn University to Forschungszentrum Jülich will be provided).

Advanced applications with ParFlow
The trainee is familiar with ParFlow and will learn about advanced input functionality that is required to construct large-scale, sophisticated models to simulate terrestrial systems from the subsurface to the land surface. Simulations will be performed and the results will be discussed and analyzed in the context of high-performance computing, parallel scaling and big data analytics.

Scientific Organizers

  • Stefan Kollet (Forschungszentrum Jülich)
  • Laura Condon (The University of Arizona)
  • Nick Engdahl (Washington State University)
  • Reed Maxwell (Colorado School of Mines)

Venue: University of Bonn, Institute of Geosciences, Meteorological Department, Auf dem Hügel 20, Bonn, Germany.