README.md

simproxyage: Simulate Age Uncertainty in Climate Proxy Records.

Introduction

simproxyage implements an stochastic approach to simulate the age uncertainty in layer-counted climate proxy records by perturbing a reference chronology via randomly omitting or double-counting the reference layers.

The implementation is an adapted and extended version of the MATLAB code developed by Comboul et al. (2014) who applied it to annually banded coral archives. The current R package has been used by Münch and Laepple (2018) to model the time uncertainty of annually dated stable isotope firn-core records based on seasonal layer counting constrained by volcanic tie points.

The original MATLAB code is available at the Common Climate Google Code repository. The R package version hosted here has been implemented by Dr. Thomas Münch. Please contact me <thomas.muench@awi.de> at the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Germany, for further information.

Installation

simproxyage can be installed directly from GitHub:

if (!require("devtools")) {
  install.packages("devtools")
}

devtools::install_github("EarthSystemDiagnostics/simproxyage")

Literature cited

Comboul, M. , Emile-Geay, J., Evans, M. N., Mirnateghi, N., Cobb, K. M. and Thompson, D. M.: A probabilistic model of chronological errors in layer-counted climate proxies: applications to annually banded coral archives, Clim. Past, 10(2), 825-841, doi: 10.5194/cp-10-825-2014, 2014.

Münch, T. and Laepple, T.: What climate signal is contained in decadal to centennial scale isotope variations from Antarctic ice cores?, Clim. Past, accepted for publication, doi: 10.5194/cp-2018-112, 2018.



EarthSystemDiagnostics/simproxyage documentation built on May 7, 2019, 9:52 p.m.