PHENTHAUproc (version 1.1.1)

parameter: 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)

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

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

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)