View source: R/function_ScalePar.R
ScalePar | R Documentation |
ScalePar
scales time step-dependent parameters and recession coefficients in an imported
HYPE 'par.txt' parameter file to a
new target time step. See HYPE wiki tutorial on sub-daily time steps.
ScalePar(
x = NULL,
timestep.ratio = 1/24,
digits = 3,
verbose = TRUE,
print.par = FALSE
)
x |
List containing HYPE parameters. Typically imported with |
timestep.ratio |
Numeric, time step scaling factor. Defaults to (1/24) to scale from daily to hourly time steps. To scale from hourly to daily time steps use 24. |
digits |
Integer, number of significant digits in scaled parameter values to export. See |
verbose |
Logical, if |
print.par |
Logical, print known time-scale dependent parameters and recession coefficients instead of scaling a parameter list. |
ScalePar
applies a user-specified scaling factor, timestep.ratio
, to all time scale-dependent parameters and recession coefficients
in a HYPE parameter list. Parameters are matched against an inbuilt set of parameter names. To see these parameters, call ScalePar(print.par = TRUE)
.
Please notify us if you find any missing parameters.
If parameters are not timestep-dependent recession coefficients, then scaling is performed using the ratio between the two time step lengths (e.g. 1/24 when scaling from daily to hourly time steps). If parameters are timestep-dependent recession coefficients, then scaling is performed using the relationship described in: Nalbantis, Ioannis (1995). “Use of multiple-time-step information in rainfall-runoff modelling”, Journal of Hydrology 165, 1-4, pp. 135–159.
new_parameter_value = 1 - (1 - old_parameter_value)^time_step_ratio
ScalePar
does not scale the values for the "gratk", "ilratk", "olratk", or "wetrate" rating curve recession coefficients in par.txt because they are not limited to the range 0-1.
Likewise, HYPEtools does not provide any scaling function for the "RATE" columns in DamData.txt and LakeData.txt because these values are not limited to the range 0-1.
We recommend looking at the results from the lakes/wetlands and recalibrating these parameters and their related power coefficients as needed.
Use the ScaleAquiferData
and ScaleFloodData
functions to scale the time-dependent recession coefficients in AquiferData.txt and FloodData.txt files, respectively.
A list()
object as supplied in x
, with re-scaled parameters and recession coefficients, or nothing if print.par = TRUE
.
ScaleAquiferData
ScaleFloodData
# Import daily HYPE parameter file
par <- ReadPar(filename = system.file("demo_model", "par.txt", package = "HYPEtools"))
# Scale to hourly time steps
ScalePar(x = par)
# Print all time scale-dependent parameters known to the function
ScalePar(print.par = TRUE)
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