mesmer.calibrate_mesmer.train_gt_ic_OLSVOLC#
- mesmer.calibrate_mesmer.train_gt_ic_OLSVOLC(var, gt_lowess, time, cfg=None)#
Derive global trend (emissions + volcanoes) parameters from single ESM ic ensemble by adding volcanic spikes to LOWESS trend.
- Parameters:
var (np.ndarray) – 2d array (run, time) of globally-averaged time series
gt_lowess (np.ndarray) – 1d array of smooth global trend of variable
time (np.ndarray) – 1d array of years
cfg (None) – Passing cfg is no longer required.
- Returns:
coef_saod (float) – stratospheric AOD OLS coefficient for variable variability
gt (np.ndarray) – 1d array of global temperature trend with volcanic spikes
Notes
- Assumptions:
only historical time period data is passed