eWaterCycle II

Overcoming the challenge of locality using a Community Multi-Model Environment

Understanding water movement on a global scale is essential for society to predict floods, droughts and the effect of landuse on water balance. However, large scale hydrology is difficult because from a hydrological point of view, every field, every street, and every part of the world is unique. We are able to understand and describe how water moves in these locations at a small scale, but due to the extreme spatial variability it is difficult to capture such processes at a global scale. We call this the curse of locality.

On top of this, existing hydrological models exist in a huge variety of programming languages, standards etc. which limits their re-useability and reproducibility.

In the eWaterCycle II project, we are developing a framework in which hydrological modellers can work together in a collaborative environment. In this enviroment, they can, for example, easily;

  • Combine models and data independent of programming languages.
  • Compare models to other models of the same area.
  • Perform data assimilation to improve model accuracy.
  • Reproduce the results obtained by their peers.

Additionally, we are actively involving the global community of hydrologists through our OpenHYDRO platform to;

  • Ensure our platform meets the needs of the scientific community.
  • Organize community challenges to explore underrepresented research areas.

The final goal of the eWatercycle II project is to enable the collaborative development of a global hydrological model through the combination of the existing local models. In our collaborative environment hydrologists can upload and analyze their models and contribute to the greater goal of a community built and shared global hydrological model.

Technical Lead Analytics Dr. Willem van Hage

Willem´s main research topics in the past 10 years are semantics, augmented sense making, visual analytics, information integration, and text mining.

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eScience Research Engineer Dr. Niels Drost

Niels works on the water management project as well as general eScience infrastructure. Niels is also part-time guest researcher at the Leiden Observatory, where he applies distributed computing techniques to the AMUSE computational astronomy simulation framework.

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eScience Coordinator Dr. Ben van Werkhoven

Within the Netherlands eScience Center Ben is involved in several projects in which he is responsible for accelerating scientific applications targeting GPU-clusters.

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eScience Research Engineer Dr. Berend Weel

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eScience Research Engineer Dr. Inti Pelupessy

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eScience Research Engineer Dr. Martine de Vos

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eScience Research Engineer Dr. Yifat Dzigan

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eScience Research Engineer Stefan Verhoeven, BSc

Stefan is specialized in software development for life science projects.

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eScience Research Engineer Dr. Gijs van den Oord

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eScience Research Engineer Dr. Ronald van Haren

Ronald studied aerospace engineering and is specialized in data analysis, remote sensing and Earth systems.

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eScience Research Engineer Dr. Janneke van der Zwaan

Janneke works as an eScience Research Engineer on the Texcavator and From Sentiment Mining to Mining Embodied Emotions projects.

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eScience Research Engineer Maarten van Meersbergen, MSc

Maarten is a core team eScience Engineer, where he focuses on visualization.

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