ProxyErrorSpectrum: Power Spectral Density of the Error in a Sediment Archived...

View source: R/spec-model.R

ProxyErrorSpectrumR Documentation

Power Spectral Density of the Error in a Sediment Archived Proxy Timeseries

Description

Power Spectral Density of the Error in a Sediment Archived Proxy Timeseries

Usage

ProxyErrorSpectrum(
  nu = NULL,
  tau_s,
  tau_b,
  tau_p,
  tau_r,
  T,
  delta_t,
  N,
  n.k,
  clim.spec.fun,
  clim.spec.fun.args,
  sig.sq_a,
  sig.sq_c,
  nu_a,
  nu_c,
  phi_a,
  phi_c,
  delta_phi_c,
  sigma.meas,
  sigma.ind,
  sigma.cal,
  n.nu.prime = 1000,
  ...
)

Arguments

nu

frequency

tau_s

sediment slice thickness in years (layer.width / sedimentation rate)

tau_b

timescale of bioturbation (bioturbation depth / sedimentation rate) (L/sr)

tau_p

length of proxy carrier "growth season" (< 12 months)

tau_r

width of moving average filter that represents the "interpreted" resolution of the timeseries

T

length of a finite time series, e.g. 1e04

delta_t

sampling frequency of the sediment core / climate timeseries

N

number of signal carriers (e.g. individual foraminifera)

n.k

the number of aliasers used when estimating the error spectrum of the stochastic climate signal. Defaults to 15, does not normally need to be adjusted.

clim.spec.fun

a function to return climate power spectral density as a function of frequency, nu

clim.spec.fun.args

arguments to the named climate power spectrum function

sig.sq_a

variance of precessionary amplitude modulation

sig.sq_c

variance of the seasonal cycle

nu_a

1/tau_a = frequency of the orbital variation, e.g. for precession 1/23e03 yrs

nu_c

1/1 (yr) = frequency of the seasonal cycle

phi_a

phase of precessionary amplitude modulation relative to centre of finite timeseries of length T

phi_c

phase of carrier growth season relative to the maximum of the seasonal cycle

delta_phi_c

Uncertainty in the phase of the signal carrier production. A value between 0 and 2Pi.

sigma.meas

the standard deviation of the per sample measurement error

sigma.ind

the standard deviation of error between individuals (e.g. foraminifera) e.g. due to "vital effects" or calcification depth

sigma.cal

the 1-sigma (standard deviation) of the calibration error in the same units as the proxy

n.nu.prime

number of discrete frequencies at which to evaluate the PSD of the error

Value

a dataframe of frequencies and spectral power

Examples

spec.pars <- GetSpecPars("Mg_Ca", tau_p = 4 / 12, delta_phi_c = pi)
spec.obj <- do.call(ProxyErrorSpectrum, spec.pars)
PlotSpecError(spec.obj)

EarthSystemDiagnostics/psem documentation built on March 3, 2024, 10:24 p.m.