ebm_response | R Documentation |
Given an ensemble of CMIP model parameters fitted on the Energy Balance Model
(EBM, see equation 6 in Qasmi and Ribes, 2021), and a time series of natural
forcings, ebm_response
computes for each model the response to these
forcings. A gaussian distribution is generated after a resampling of all
model responses.
ebm_response(FF, ebm_params, year, Nres)
FF |
a time series of natural forcings |
ebm_params |
a data.frame in which columns are the EBM parameters and lines are the CMIP models |
year |
a time series of years of the same size as |
Nres |
the number of realisations wished in the gaussian distribution |
returns a 2-D array of dimension [length(year),Nres+1]
containing the response to natural forcings. A best-estimate is provided
with Nres
realisations sampling model uncertainty.
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