environmentaltools.graphics.crosscorr

environmentaltools.graphics.crosscorr(xy, xys, variable, lags=48, fname=None)[source]

Plot cross-correlation between observed and simulated variables.

Displays the cross-correlation function comparing two time series to assess temporal relationships and model performance.

Parameters:

  • xy (tuple) – Tuple of two arrays (x, y) for observed data.

  • xys (tuple) – Tuple of two arrays (x, y) for simulated data.

  • variable (str) – Name of variable for plot labeling.

  • lags (int) – Maximum lag time in hours. Defaults to 48.

  • fname (str, optional) – File path to save the plot. If None, displays interactively. Defaults to None.

Returns:

The axis with the plot.

Return type:

matplotlib.axes.Axes

Note

Cross-correlation is normalized by standard deviations and means.