Understanding water movement on a global scale is essential for society to predict floods, droughts and the effect of land use 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 local 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, hydrological models exist in a huge variety of programming languages, standards etc. which limits their re-usability and reproducibility.
In the eWaterCycle II project, we are developing a framework in which hydrological modelers can work together in a collaborative environment. In this environment, they can, for example, easily:
- Combine models and data independently 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.
To show what we envision for the environment and to collect feedback on our efforts at every turn, we have prepared a “Minimum Viable Product” demo above.