mesmer.stats.HarmonicModel.fit

mesmer.stats.HarmonicModel.fit#

HarmonicModel.fit(yearly_predictor, monthly_target, *, max_order=6, time_dim='time')#

fit harmonic model i.e. a Fourier Series to every gridcell using BIC score to select the order and least squares to fit the coefficients for each order.

Parameters:

  • yearly_predictor (xr.DataArray) – Yearly values used as predictors, containing one value per year. Contains time_dim and possibly additional dimensions for example for gridcells or members.

  • monthly_target (xr.DataArray) – Monthly values to fit to, containing one value per month, for every year in yearly_predictor (starting with January). So n_months = 12 \(\cdot\) n_years. Must contain time_dim and possibly additional dimensions as yearly_predictor.

  • max_order (Integer, default 6) – Maximum order of Fourier Series to fit for. Default is 6 since highest meaningful maximum order is sample_frequency/2, i.e. 12/2 to fit for monthly data.

  • time_dim (str, default: “time”) – Name of the time dimension on yearly_predictor and monthly_target.