rescaling_monthly

This function adjusts the monthly mean to a daily weather dataset (e. g. spline-interpolated temperature)

S3 and S4 functions are implemented for spatial multi-site
stochastic generation of daily time series of temperature and
precipitation. These tools make use of Vector AutoRegressive models (VARs).
The weather generator model is then saved as an object and is calibrated by
daily instrumental "Gaussianized" time series through the 'vars' package
tools. Once obtained this model, it can it can be used for weather
generations and be adapted to work with several climatic monthly time
series.

Emanuele Cordano

RMAWGEN

Multi-Site Auto-Regressive Weather GENerator

Emanuele Eccel

Eike Luedeling

rescaling_monthly function

<dl><dt>data</dt>
<dd>data frame of wheather variables)</dd>
<dt>val</dt>
<dd>monthly means returned by <code>getMonthlyMean</code></dd>
<dt>origin</dt>
<dd>character string containing the gregorian date of the first day of <code>data</code></dd></dl>

Arguments

Emanuele Cordano@export

Author

This function adjusts the monthly mean to a daily weather dataset (e. g. spline-interpolated temperature) — rescaling_monthly

<dl>

<dt>data</dt>
<dd>data frame of wheather variables)</dd>


<dt>val</dt>
<dd>monthly means returned by <code>getMonthlyMean</code></dd>


<dt>origin</dt>
<dd>character string containing the gregorian date of the first day of <code>data</code></dd>

</dl>

rescaling_monthly: This function adjusts the monthly mean to a daily weather dataset (e. g. spline-interpolated temperature)

Description

Usage

Value

Arguments

Author

See Also