actfInv

Provides inverse transformation for continuous distributions, based on two parameters

internal

Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).

Kevin Shook

CoSMoS

Complete Stochastic Modelling Solution

Simon Michael Papalexiou

Francesco Serinaldi

Filip Strnad

Yannis Markonis

actfInv function

<dl><dt>rhoz</dt>
<dd>marginal correlation value of the parent Gaussian process</dd>
<dt>b</dt>
<dd>1st line parameter</dd>
<dt>c</dt>
<dd>2nd line parameter</dd></dl>

Arguments

Inverse of ACTF auto-correlation transformation function — actfInv

<dl>

<dt>rhoz</dt>
<dd>marginal correlation value of the parent Gaussian process</dd>


<dt>b</dt>
<dd>1st line parameter</dd>


<dt>c</dt>
<dd>2nd line parameter</dd>

</dl>

actfInv: Inverse of ACTF auto-correlation transformation function

Description

Usage

Arguments

Examples