Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al.: Let hydrologists learn the latest computer science by working with Research Software Engineers (RSEs) and not reinvent the waterwheel ourselves

The suggestions by Hutton et al. might not be enough to guarantee reproducible computational hydrology. Archiving software code and research data alone will not be enough. We add to the suggestion of Hutton et al. that hydrologists not only document their (computer) work, but that hydrologists use the latest best practices in designing...

eWaterCycle: Building an operational global hydrological forecasting system based on standards and open source software

eWaterCycle: A global operational hydrological forecasting model

Global operational hydrological forecasts through eWaterCycle

Remote web-based 3D visualization of hydrological forecasting datasets

Assimilating data from remote sensing into a high-resolution global hydrological model

eWaterCycle: A high resolution global hydrological model

eWaterCycle: Real time assimilation of massive data streams into a hyper-resolution global hydrological model

eWaterCycle: Developing a hyper resolution global hydrological model

Invloed van plastische deformatie op de elastsche constanten van koper-goud legeringen bij 77 K