climpred.graphics.plot_bootstrapped_skill_over_leadyear¶
- climpred.graphics.plot_bootstrapped_skill_over_leadyear(bootstrapped: xarray.Dataset, ax: Optional[matplotlib.axes._axes.Axes] = None, color_initialized: str = 'indianred', color_uninitialized: str = 'steelblue', color_persistence: str = 'gray', color_climatology: str = 'tan', capsize: Union[int, float] = 4, fontsize: Union[int, float] = 8, figsize: Tuple = (10, 4), fmt: str = '--o') matplotlib.axes._axes.Axes[source]¶
Plot Ensemble Prediction skill as in Li et al. 2016 Fig.3a-c.
- Parameters
bootstrapped (xr.DataArray or xr.Dataset with one variable) – from PredictionEnsembleEnsemble.bootstrap() or HindcastEnsemble.bootstrap()
ax (“plt.Axes”) – plot on ax. Defaults to None.
- Returns
ax
- Reference:
- Li, Hongmei, Tatiana Ilyina, Wolfgang A. Müller, and Frank
Sienz. “Decadal Predictions of the North Atlantic CO2 Uptake.” Nature Communications 7 (March 30, 2016): 11076. https://doi.org/10/f8wkrs.