generateWeatherSeries: Simulate gridded weather function

In Deltares/weathergenr: Gridded semi-parametric weather generator

Simulate gridded weather function

Description

Description goes here....

Usage

generateWeatherSeries(
  weather.data = NULL,
  weather.grid = NULL,
  weather.date = NULL,
  variable.names = NULL,
  variable.labels = NULL,
  variable.units = NULL,
  sim.year.num = NULL,
  sim.year.start = 2020,
  month.start = 1,
  realization.num = 5,
  warm.variable = "precip",
  warm.signif.level = 0.9,
  warm.sample.num = 5000,
  warm.subset.criteria = NULL,
  knn.sample.num = 120,
  mc.wet.quantile = 0.3,
  mc.extreme.quantile = 0.8,
  dry.spell.change = rep(1, 12),
  wet.spell.change = rep(1, 12),
  evaluate.model = FALSE,
  evaluate.grid.num = 20,
  output.path = tempdir(),
  seed = sample.int(1e+05, 1),
  compute.parallel = TRUE,
  num.cores = NULL
)

Arguments

weather.data	list of data frames of daily weather observations per grid cell. Each data frame, columns are weather variables and rows are daily values.
weather.grid	Data frame of grid cells. Each grid cell is assigned an id starting from 1, x and y coordinate index value, and x and y coordinates.
weather.date	a vector of dates matching the weather.data
variable.names	vector of names for the variables to be included in the weather generator
variable.labels	vector of labels for the weather variables (optional). If no values provided, it is labels will be same as the names
variable.units	vector of units for each of the weather variables (optional). If no values provided, a blank vector is used.
sim.year.num	numeric value indicating the desired total number of years of simulated weather realizations
sim.year.start	numeric value indicating the starting year of the generated time-series
month.start	the first month of the water year (default value is 1).
realization.num	number of natural variability realizations to be generated.
warm.variable	the name of the variable for the wavelet auto regressive mode. Default value is precipitation variable.
warm.signif.level	the significance level for the warm model.
warm.sample.num	number of annual sequences to be generated from the the warm model
warm.subset.criteria	A list of statistical parameters used for subsetting from the initial annual simulated series
knn.sample.num	number of knn years to be sampled
mc.wet.quantile	wet state threshold (quantile value) for markov-chain modeling
mc.extreme.quantile	extremely wet state threshold (quantile value) for markov-chain modeling
dry.spell.change	placeholder
wet.spell.change	placeholder
evaluate.model	logical value indicating weather to save model evaluation plots
evaluate.grid.num	Number of grid cells to be sampled in the evaluation plots
output.path	output path for the weather generator results (string)
seed	a random seed value (numeric)
compute.parallel	logical value indicating whether to run (some) functions in parallel
num.cores	Number of cores to be allocated for parallel computing. If left NULL, maximum possible cores minus one is assigned

Deltares/weathergenr documentation built on July 25, 2024, 6:15 p.m.