extractTnFromAnomalies

Extracts generated time series of Daily Minimum Temperature from a random multi-realization obtained by <code>generateTemperatureTimeseries</code> function

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

extractTnFromAnomalies function

<dl><dt>res_multigen</dt>
<dd>matrix containing standardized values of daily temperature as returned by <code>generateTemperatureTimeseries</code> (first item)</dd>
<dt>std</dt>
<dd>vector containing standard deviation for each minimun temperature anomalies</dd>
<dt>SplineAdv</dt>
<dd>matrix containing the averaged daily values of minimum temperature obtained by a spline interpolation of the monthly climate</dd></dl>

Arguments

Author

Extracts generated time series of Daily Minimum Temperature from a random multi-realization obtained by generateTemperatureTimeseries function — extractTnFromAnomalies

<dl>

<dt>res_multigen</dt>
<dd>matrix containing standardized values of daily temperature as returned by <code>generateTemperatureTimeseries</code> (first item)</dd>


<dt>std</dt>
<dd>vector containing standard deviation for each minimun temperature anomalies</dd>


<dt>SplineAdv</dt>
<dd>matrix containing the averaged daily values of minimum temperature obtained by a spline interpolation of the monthly climate</dd>

</dl>

Extracts generated time series of Daily Minimum Temperature from a random multi-realization obtained by <code>generateTemperatureTimeseries</code> function

extractTnFromAnomalies: Extracts generated time series of Daily Minimum Temperature from a random multi-realization obtained by `generateTemperatureTimeseries` function

Description

Usage

Value

Arguments

Author