hydromt.stats.skills.lognashsutcliffe#

hydromt.stats.skills.lognashsutcliffe(sim, obs, epsilon=1e-06, dim='time')[source]#

Return the log Nash-Sutcliffe model efficiency.

Efficiency calculation is based on simulated and observed time series.

$$\begin{gathered} \begin{array}{r}NSE=1-\\ frac \\ su{m}_{i=1}^N(log(si{m}_i)-log(ob{s}_i){)}^2 \\ su{m}_{i=1}^N(log(si{m}_i)-log( \\ barobs{)}^2-1)\ast -1\end{array} \end{gathered}$$

Parameters:

• sim (xarray DataArray) – simulations time series

• obs (xarray DataArray) – observations time series

• epsilon (float, optional) – small value to avoid taking the log of zero (the default is 1e-6)

• dim (str, optional) – name of time dimension in sim and obs (the default is ‘time’)

Returns:

the log of the Nash-Sutcliffe model efficiency

Return type:

xarray DataArray