gen_WGN_ts: Generate replicates of timeseries of a climate variable using...

In anjanadevanand/toyWGN: A Toy Stochastic Weather Generator

Description

gen_WGN_ts returns replicates of timeseries of a climate variable using the function wgn_latent_model.

Usage

gen_WGN_ts(nyears = 122, replicates = 20)

Arguments

nyears	number of years of data to be generated.
replicates	number of replicates of the timeseries to be generated.

Details

The parameters of the weather generator are stored in toyWGN_param.env. The user may use the function modify_namelist to modfiy the default parameters of the weather generator. This WGN model uses the parameters:

• mu vector of numbers of length 12; mean of the latent variable X for each month.

• sigma vector of numbers of length 12; standard deviaion of the latent variable X for each month.

• alpha vector of numbers of length 12; lag-1 autocorrelation coefficient of the latent variable X for each month.

• lambda vector of numbers of length 12; exponent of the latent variable X for each month.

Value

A list of length replicates containing the replicates of nyears of climate variable timeseries.

See Also

write_namelist, modify_namelist

Examples

wgn_data_rep <- gen_WGN_ts(nyears = 10, replicates = 5)

anjanadevanand/toyWGN documentation built on March 9, 2020, 6:57 a.m.