actpntsB6

Evaluates the (rho_x, rho_z) mapping using Monte Carlo integration for the
Bardossy copula dependence structure.

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

actpntsB6 function

<dl><dt>margdist</dt>
<dd>target marginal distribution</dd>
<dt>margarg</dt>
<dd>list of marginal distribution arguments</dd>
<dt>m</dt>
<dd>mean of the parent Gaussian processes controlling asymmetry</dd>
<dt>p0</dt>
<dd>probability of zero values</dd></dl>

Arguments

AutoCorrelation Transformed Points for Bardossy dependence structure — actpntsB6

<dl>

<dt>margdist</dt>
<dd>target marginal distribution</dd>


<dt>margarg</dt>
<dd>list of marginal distribution arguments</dd>


<dt>m</dt>
<dd>mean of the parent Gaussian processes controlling asymmetry</dd>


<dt>p0</dt>
<dd>probability of zero values</dd>

</dl>

actpntsB6: AutoCorrelation Transformed Points for Bardossy dependence structure

Description

Usage

Value

Arguments

References

See Also

Examples