Senior Hydrologist

Dr Jannis Hoch

As a Senior Hydrologist at Fathom, Jannis is responsible for developing hydrologic data, models and workflows. He works across almost every area of technical development. On a day-to-day basis this mostly involves developing, applying and analysing models (including their input and outputs) as well as working on inputs to Fathom’s global flood model with emphasis on global-scale estimates of extreme rainfall. 

The challenging and varied workload at Fathom is a big plus for Jannis, but he has a particular interest in reproducible workflows, FAIR data and software and understanding the implications of climate and human-made changes in the water cycle on society and nature. 

Before joining Fathom, Jannis was a postdoctoral researcher at the University of Utrecht, where he also obtained his PhD in Hydrology. His PhD research focused on coupling hydrological and hydraulic models for improved flood simulations. Afterwards, he stayed at the University of Utrecht as post-doctoral researcher, focusing on advancing hyper-resolution hydrologic simulations, the efficiency of hydrologic measures to mitigate climate change impacts and exploring the possibilities and limitations of projecting conflict risk.  

Originally from Germany, Jannis now calls the Netherlands home. When not at work, he can be found outoors training for triathlons or, when he’s not in the Netherlands, hiking.

Key topics

  • Hydrology
  • Flood risk management
  • FAIR data and code

Contacts

Related content and appearances

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Research Paper

A first attempt to model global hydrology at hyper-resolution

Figure showing mean upper soil saturation simulated by PCR-GLOBWB at the 30 arcsecond resolution, and comparisons with 5 arcmin and 30 arcmin simulations
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Insight

A look back at EGU 2024: Fathom’s research and reflections

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Research Paper

A 30 m global flood inundation model for any climate scenario

Global Flood Map research paper graph - Average annual flood over time diagram
Addressing climate change with data
Content

Addressing climate change with data: the good, the bad and the (un)certain – CSO Futures

Catastrophe modeling in an uncertain world
Content

Catastrophe modeling in an uncertain world – Insurance Edge

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Research Paper

Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent

Contact Jannis