Calibrate GP model with DeConto and Pollard simulator data and predict values at large set of new parameter values. Uses DiceKriging package.
1 2 | emulate_era(sim_inputs, sim_outputs, myvar, trend, covtype,
expt_design_par)
|
sim_inputs |
Simulator ensemble inputs, i.e. parameter values. |
sim_outputs |
Simulator ensemble outputs, i.e. variable values. |
myvar |
Variable to emulate. |
trend |
Gaussian Process mean function. |
covtype |
Gaussian Process covariance function. |
expt_design_par |
Parameter values at which to make predictions. |
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