hydromt.stats.skills.lognashsutcliffe

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

Returns the log Nash-Sutcliffe model efficiency based on simulated and observed time series.

$$NSE=1-\frac{\sum _{i=1}^N(log(si{m}_i)-log(ob{s}_i){)}^2}{\sum _{i=1}^N(log(si{m}_i)-log(\overline{obs}{)}^2}-1)\ast -1$$

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