ACSfunctions

acfburrXII

acfparetoII

acffgn

acfweibull

Parametric functions used internally by <code>acs</code> to evaluate
autocorrelation at lag <code>t</code>. These are internal helpers and are not
part of the public API; call them via <code>acs(id, ...)</code>.

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

ACSfunctions function

<dl><dt>t</dt>
<dd>lag value (non-negative numeric).</dd>
<dt>scale</dt>
<dd>scale parameter (must be &gt; 0).</dd>
<dt>shape, shape1, shape2</dt>
<dd>shape parameters (must be &gt; 0).</dd>
<dt>H</dt>
<dd>Hurst exponent for the FGN model (0.5 &lt; H &lt; 1).</dd></dl>

Arguments

Parametric autocorrelation structure functions — ACSfunctions

<dl>

<dt>t</dt>
<dd>lag value (non-negative numeric).</dd>


<dt>scale</dt>
<dd>scale parameter (must be &gt; 0).</dd>


<dt>shape, shape1, shape2</dt>
<dd>shape parameters (must be &gt; 0).</dd>


<dt>H</dt>
<dd>Hurst exponent for the FGN model (0.5 &lt; H &lt; 1).</dd>

</dl>

Parametric autocorrelation structure functions

ACSfunctions: Parametric autocorrelation structure functions

Description

Usage

Value

Arguments