SGSDist.jl Documentation

Overview

SGSDist.jl is a Julia package that implements the stochastically generated skewed (SGS) distribution, a probability density function (pdf) obtained from the correlated additive and multiplicative (CAM) noise stochastic climate model developed by Sura and Sardeshmukh (2008) and Sardeshmukh and Sura (2009).

For more information on the form of the SGS distribution used in this package, see Sardeshmukh et al. (2015).

Installation

SGSDist.jl is not yet registered, so one may install with the Julia package manager by issuing using Pkg; Pkg.add("https://github.com/brwst/SGSDist.jl") or:

(v1.3) pkg> add https://github.com/brwst/SGSDist.jl

You can then load the SGSDist.jl package with:

julia> using SGSDist

References

SGSDist.jl is based largely on the form of the SGS distribution and its associated Markov process outlined in Sardeshmukh et al. (2015):

Sardeshmukh, P. D., G. P. Compo, and C. Penland, 2015: Need for Caution in Interpreting Extreme Weather Statistics. Journal of Climate, 28, 9166–9187, https://doi.org/10.1175/JCLI-D-15-0020.1.

For the theoretical development of the CAM noise stochastic climate model and the SGS distribution, see:

Sura, P., and P. D. Sardeshmukh, 2008: A Global View of Non-Gaussian SST Variability. Journal of Physical Oceanography, 38, 639–647, https://doi.org/10.1175/2007JPO3761.1.

Sardeshmukh, P. D., and P. Sura, 2009: Reconciling Non-Gaussian Climate Statistics with Linear Dynamics. Journal of Climate, 22, 1193–1207, https://doi.org/10.1175/2008JCLI2358.1.