mesmer.calibrate_mesmer.train_gt_ic_LOWESS

mesmer.calibrate_mesmer.train_gt_ic_LOWESS#

mesmer.calibrate_mesmer.train_gt_ic_LOWESS(data)#

Derive smooth global trend of variable from single ESM ic ensemble with LOWESS smoother.

Parameters:

data (np.ndarray) – 2d array (run, time) of globally-averaged time series

Returns:

  • gt_lowess (np.ndarray) – 1d array of smooth global trend of variable

  • frac_lowess (float) – fraction of the data used when estimating each y-value