mesmer.create_emulations.gather_gt_data

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mesmer.create_emulations.gather_gt_data#

mesmer.create_emulations.gather_gt_data(params_gt, preds_gt, cfg, concat_h_f=False, save_emus=True)#

Create global trend (emissions + volcanoes) emulations for specified ensemble type and method.

Parameters:

  • params_gt (dict) – Parameters dictionary

    • [“targ”] (emulated variable, str)

    • [“esm”] (Earth System Model, str)

    • [“method”] (applied method, str)

    • [“preds”] (predictors, list of strs)

    • [“scenarios”] (scenarios which are used for training, list of strs)

    • [“time”] (1d array of years, np.ndarray)

    • [xx] (additional keys depend on employed method and are listed in train_gt_T_method() function)

  • preds_gt (dict) – nested dictionary of predictors for global trend with keys

    • [pred][scen] (1d/2d arrays (time)/(run, time) of predictor for specific scenario)

  • cfg (module) – config file containing metadata

  • concat_h_f (bool, optional) – determines if historical and future time period is concatenated into a single emulation or not, default = False (must be set to false if no historical data provided)

  • save_emus (bool, optional) – determines if emulation is saved or not, default = True

Returns:

emus_gt (dict) – global trend emulations dictionary with keys

  • [scen] (1d array of global trend emulation time series)

Notes

  • Assumptions:

    • if no preds_gt needed, pass time as predictor instead to know which scenarios to emulate

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