Introducing the eWaterCycle Python package for open and FAIR hydrological modelling

Peter Kalverla; Rolf Hut; Niels Drost; Stefan Verhoeven; Fakhereh Alidoost; Barbara Vreede; Bouwe Andela; Stef Smeets; Jaro Camphuijsen; Yifat Dzigan; Inti Pelupessy; Gijs van den Oord; Ben van Werkhoven; Jerom Aerts; Nick van de Giesen

doi:https://doi.org/10.5194/egusphere-egu22-7715

[Back] [Session EOS4.3]

EGU22-7715

https://doi.org/10.5194/egusphere-egu22-7715

EGU General Assembly 2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Introducing the eWaterCycle Python package for open and FAIR hydrological modelling

Peter Kalverla¹, Rolf Hut², Niels Drost¹, Stefan Verhoeven¹, Fakhereh Alidoost¹, Barbara Vreede¹, Bouwe Andela¹, Stef Smeets¹, Jaro Camphuijsen¹, Yifat Dzigan¹, Inti Pelupessy¹, Gijs van den Oord¹, Ben van Werkhoven¹, Jerom Aerts², and Nick van de Giesen²

Peter Kalverla et al.

¹Netherlands eScience Center, Amsterdam , Netherlands (p.kalverla@esciencecenter.nl)
²TU Delft, Delft, Netherlands

The eWaterCycle platform (https://www.ewatercycle.org/) is a fully Open Source system designed explicitly to advance the state of Open and FAIR Hydrological modelling. It allows scientists to set up experiments in a standardized way and run them interactively in a Jupyter environment.

Previously we have presented various components that constitute the system: a preprocessing pipeline using ESMValTool (https://www.esmvaltool.org/) to generate meteorological forcing data, containerized models implementing the Basic Model Interface (https://bmi.readthedocs.io/), gRPC4BMI (https://github.com/eWaterCycle/grpc4bmi) to communicate with these containers from a Python environment, a visual explorer that lets the user set up an experiment with a few clicks and automatically generates a notebook based on the selected settings, and utilities to work with observations and analyse results.

Recently we have officially released the eWaterCycle Python package (https://ewatercycle.readthedocs.io/en/latest/) that connects these components to provide a simple and clean user interface. The core of the package is modelled after PyMT (https://pymt.readthedocs.io/en/latest/index.html), extended with convenience functions to make the interface more user friendly, e.g. using xarray (http://xarray.pydata.org/en/stable/index.html) for spatial data and providing more user-friendly time accessors. Separate modules are available to load forcing data and parameter sets from the system and configure them correctly for the target model.

The package comes with comprehensive documentation, including a suite of example notebooks. It also includes setup instructions for system administrators and guidance for incorporating new models. Currently, the following models are available through the eWaterCycle system: wflow, lisflood, marrmot m01, marrmot m14 and pcrglobwb.

The release of the package marks a milestone in the development towards our goal of fully reproducible, open, and FAIR Hydrological modelling.

How to cite: Kalverla, P., Hut, R., Drost, N., Verhoeven, S., Alidoost, F., Vreede, B., Andela, B., Smeets, S., Camphuijsen, J., Dzigan, Y., Pelupessy, I., van den Oord, G., van Werkhoven, B., Aerts, J., and van de Giesen, N.: Introducing the eWaterCycle Python package for open and FAIR hydrological modelling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7715, https://doi.org/10.5194/egusphere-egu22-7715, 2022.

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