The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
R code for Clark et al. (2021) “The abuse of popular performance metrics in hydrologic modeling”, Water Resources Research, doi:<10.1029/2020WR029001>.
This package is intended to quantify the sampling uncertainty in goodness of fit statistics, such as KGE or NSE, which are commonly used for calibrating the parameters of hydrological models.
The package gets its name because it uses bootstrapping to solve water-related problems.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.