hydromt.stats.skills.lognashsutcliffe#

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

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

\[NSE = 1-\frac{\sum_{i=1}^{N}(log(sim_{i})-log(obs_{i}))^2}{\sum_{i=1}^{N}(log(sim_{i})-log(\bar{obs})^2}-1)*-1\]
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