specify number of synchronization timesteps, rather than batches. i.e. the training config parameter n_batches_burnis replaced by n_timesteps_synchronize
can predict output variables that are different from inputs (ex. reservoir takes SST state as input but readout predicts an update tendency)
separate normalization transforms are fit for each set of input, output, and hybrid variables (since in the SST model, the hybrid variables have different scales than the input)
n_batches_burnis replaced byn_timesteps_synchronize