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Complex cycling workflows are fundamental to numerical weather prediction (NWP) and related environmental forecasting systems. Large numbers of jobs are executed at regular intervals to process new data and generate new forecasts. Dependence between these forecast cycles creates
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I made an oops once. When working on our global model hydrological model eWaterCycle I accidentally aggregated the files that contained information on rainfall per day into totals of rainfall per year. Our system didn’t budge and calculated the hydrological response as if a year’
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Water related catastrophes such as floods are putting more and more people at risk. Moreover this has a large economic impact as well. For example, in 2011 a flood in Bangkok wiped out a large number of harddrive manufacturing plants, leading to a global shortage and increase ...
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 ...