Facilitating reproducible science: a workflow for setting up SUMMA simulations anywhere on the globe
- 1University of Saskatchewan, Coldwater Laboratory, Geography and Planning, Canmore, Canada (wouter.knoben@usask.ca)
- 2University of Saskatchewan, Geogrpahy and Planning, Saskatoon, Canada (shervan.gharari@usask.ca)
- 3University of Saskatchewan, Coldwater Laboratory, Geography and Planning, Canmore, Canada (martyn.clark@usask.ca)
Setting up earth system models can be cumbersome and time-consuming. Model-agnostic tasks are typically the same regardless of model used and include definition and delineation of the modeling domain and preprocessing of forcing data and parameter fields. Model-specific tasks include conversion of preprocessed data into model-specific formats and generation of model inputs and run scripts. We present a workflow that includes both model-agnostic and model-specific steps needed to set up the Structure for Unifying Multiple Modeling Alternatives (SUMMA) anywhere on the planet, with the goal of providing a baseline SUMMA set up that can easily be adapted for specific study purposes. The workflow therefore uses open source data with global coverage to derive basin delineations, climatic forcing, and geophysical inputs such as topography, soil and land use parameters. The use of open source data, an open source model and an open source workflow that relies on established software packages results in transparent and reproducible scientific outputs, open to verification and adaptation by the community. The workflow substantially reduces model configuration time for new studies and paves the way for more and stronger scientific contributions in the long term, as it lets the modeler focus on science instead of set up.
How to cite: Knoben, W., Gharari, S., and Clark, M.: Facilitating reproducible science: a workflow for setting up SUMMA simulations anywhere on the globe, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-3091, https://doi.org/10.5194/egusphere-egu21-3091, 2021.