parameter {PHENTHAUproc} | R Documentation |
Create parameter list
Description
See all available models with parameter: parameter() model can be a single model or a model collection described in "Default settings". Return a data.frame with all model options: parameter()
Default Settings
The default parameter lists for different data input are: "dailymean": Regional PHENTHAUproc described in Halbig et al. 2024 for daily mean temperature data "hour": "Local PHENTHAUproc described in Halbig et al. 2024 for daily hourly temperature data "dailymeanminmax": PHENTHAUproc adapted to DWD Data for daily mean, min and max temperature data
Columns
model: model parametrisation: parametrisation method: method used to calculate effective temperatures ts_start: first day to calculate effective temperatures ts_end last day to calculate effective temperatures (Default 30. Sept) ts_prevyear: If True calculation of effective temperatures starts in previous year. (i.e. wagenhoff) ldt: lower development threshold cf_dependent: Is model cold/frost dependent cf_start: first day to calculate cold/frost days cf_end: last day to calculate cold/frost days cf_prevyear: If True calculation of cold/frost days starts in previous year. cf_temp: tmean" for cold days and "tmin" for frost days cf_limit: threshold for cold/frost days set: formula to calculate sum of effective temperatures a: parameter for set b: parameter for set
Usage
parameter(model = NULL, parametrisation = NULL, year = NULL, first = TRUE)
Arguments
model |
type of model for phenthau function - character - Either single model or model collection |
parametrisation |
type of parametrisation - character |
year |
year of prognosis - numeric - Default: actual year |
first |
logical - If TRUE and parametrisation is missing first parametrisation in parameter() is used |
Value
If no argument is specified returns a list of parameter (used inside phenthau function). Otherwise returns available parameter for given model, parametrisation and year
See Also
Other Main:
get_legend()
,
mortality()
,
phenology()
,
phenthau()
Examples
# Default parameter list for daily mean, min and max temperature data:
parameter("dailymeanminmax")
# overview dataframe with all available parameter sets
parameter("all")
# all hatch model parameter
parameter("hatch")
# return parameter necessary for calculation
parameter("hatch", "custers", 2020)