runSurrogates: Monte Carlo signal and noise simulations

In EarthSystemDiagnostics/proxysnr: Separate Signal and Noise in Climate Proxy Records

Monte Carlo signal and noise simulations

Description

Replicate simSignalAndNoise a given number of times.

Usage

runSurrogates(signal.par, noise.par, nc, nt, res, nmc = 10, df.log = NULL)

Arguments

signal.par	a named list with elements 'alpha' and 'beta' supplying the power-law parameters to simulate the common signal.
noise.par	as signal.par the power-law parameters to simulate the independent noise components.
nc	the number of proxy records ('"cores"') in the array.
nt	the length of each record in the array.
res	the sampling (e.g., temporal) resolution of the simulated proxy records; determines the frequency axis of the spectral estimates.
nmc	integer; the number of replications.
df.log	width of the Gaussian kernel in logarithmic frequency units to smooth the spectral estimates; NULL (the default) suppresses smoothing.

Value

a list of length nmc where each list element is one signal and noise estimation realization, i.e. the output of simSignalAndNoise.

Author(s)

Thomas Münch

See Also

simSignalAndNoise, simCoreArray

EarthSystemDiagnostics/proxysnr documentation built on June 9, 2025, 11:58 a.m.