generateTemperatureTimeseries: Returns time series of Daily Maximum and Minimum with a...

In RMAWGEN: Multi-Site Auto-Regressive Weather GENerator

Description

Returns time series of Daily Maximum and Minimum with a random multi-realization obtained by using newVARmultieventRealization. This function is called by ComprehensiveTemperatureGenerator.

Usage

generateTemperatureTimeseries(std_tn, std_tx, SplineTx, SplineTn, SplineTm,
  SplineDeltaT, std_tm, var = NULL, exogen = NULL, normalize = TRUE,
  type = 3, extremes = TRUE, sample = NULL, option = 1,
  original_data, origin_x = NULL, origin_data = NULL, noise = NULL)

Arguments

std_tn	vector containing standard deviation of daily minimum temperature anomalies. stdTn is default, see setComprehensiveTemperatureGeneratorParameters.
std_tx	vector containing standard deviation of daily maximum temperature anomalies. stdTx is default, see setComprehensiveTemperatureGeneratorParameters.
SplineTx	matrix containing the averaged daily maximum temperature obtained by a spline interpolation of monthly means . SplineAdvTx is default, see setComprehensiveTemperatureGeneratorParameters.
SplineTn	matrix containing the averaged daily minimum temperature obtained by a spline interpolation of monthly means . SplineAdvTn is default, see setComprehensiveTemperatureGeneratorParameters.
SplineTm	matrix containing the averaged daily "mean" temperature obtained by a spline interpolation of monthly means . SplineAdvTm is default, see setComprehensiveTemperatureGeneratorParameters.
SplineDeltaT	matrix containing the rescaled averaged daily temperature range obtained by a spline interpolation of monthly means. SplineAdvDelta_T_sim/SplineAdvDelta_T is default, see setComprehensiveTemperatureGeneratorParameters.
std_tm	vector containing standard deviation of daily "mean" temperature anomalies. stdTn is default, see setComprehensiveTemperatureGeneratorParameters.
var	A VAR model represented by a varest object as returned by getVARmodel or VAR
exogen	see VAR
normalize	logical variable If TRUE normalizeGaussian_severalstations is used, otherwise not. If option is 2, it is always TRUE.
type	see quantile
sample, origin_x, origin_data, extremes	see normalizeGaussian_severalstations
option	integer value. If 1, the generator works with minimum and maximum temperature, if 2 (Default) it works with th average value between maximum and minimum temparature and the respective daily Thermal Range.
original_data	matrix containing the measured standardized temperature anomalies
noise	stochastic noise to add for variabile generation. Default is NULL. See newVARmultieventRealization.

Value

This function returns a list of the following variables:

res_multigen matrix containing standardized values of daily maximum and minimum temperature anomalies

Tx_spline matrix containing climatic "spline-interpolated" daily maximum temperature

Tn_spine matrix containing climatic "spline-interpolated" daily minimum temperature

Tx_gen matrix containing generated daily maximum daily temperature (Tx_{gen})

Tn_gen matrix containing generated daily minimum daily temperature (Tn_{gen})

Tm_gen matrix containing generated "mean" daily temperature defined as \frac{Tx_{gen}+Tn_{gen}}{2}

DeltaT_gen matrix containing generated daily thermal range defined as Tx_{gen}-Tn_{gen}

See the R code for further details

Author(s)

Emanuele Cordano, Emanuele Eccel

See Also

newVARmultieventRealization,normalizeGaussian_severalstations

RMAWGEN documentation built on Dec. 12, 2019, 9:07 a.m.