autocor.emp.int

Finds empirical autocorrelations (lag-1) between intensities corresponding
to a degree of autocorrelation of an AR(1) process

Application of multi-site models for daily precipitation and temperature data.
This package is designed for an application to 105 precipitation and 26 temperature gauges located in Switzerland.
It applies fitting procedures and provides weather generators described in the following references:
- Evin, G., A.-C. Favre, and B. Hingray. (2018) <doi:10.5194/hess-22-655-2018>.
- Evin, G., A.-C. Favre, and B. Hingray. (2018) <doi:10.1007/s00704-018-2404-x>.

Guillaume Evin

GWEX

Multi-Site Stochastic Models for Daily Precipitation and
Temperature

autocor.emp.int function

<dl><dt>rho</dt>
<dd>autocorrelation of the AR(1) process</dd>
<dt>nChainFit</dt>
<dd>number of simulated variates</dd>
<dt>Xt</dt>
<dd>simulated occurrences, nChainFit x 2 matrix</dd>
<dt>parMargin</dt>
<dd>parameters of the margins 2 x 3</dd>
<dt>typeMargin</dt>
<dd>type of marginal distribution: 'EGPD' or 'mixExp'</dd></dl>

Arguments

Author

autocor.emp.int — autocor.emp.int

<dl>

<dt>rho</dt>
<dd>autocorrelation of the AR(1) process</dd>


<dt>nChainFit</dt>
<dd>number of simulated variates</dd>


<dt>Xt</dt>
<dd>simulated occurrences, nChainFit x 2 matrix</dd>


<dt>parMargin</dt>
<dd>parameters of the margins 2 x 3</dd>


<dt>typeMargin</dt>
<dd>type of marginal distribution: 'EGPD' or 'mixExp'</dd>

</dl>

autocor.emp.int: autocor.emp.int

Description

Usage

Value

Arguments

Author