Package 'rapsimng.chickpea'

chickpea model options manager

Description

An options manager for configuring chickpea model parameters. This object provides methods to get and set chickpea related parameters.

Usage

chickpea

Value

An option manager object for configuring chickpea model parameters.

Available Options

phenology.thermal_time.x

Cardinal temperatures for thermal time calculation. Default: c(2, 30, 35)

phenology.thermal_time.y

Effective thermal time at corresponding cardinal temperatures. Default: c(0, 28, 0)

phenology.thermal_time.method

Method used for thermal time calculation. Supported values: "3hr" and "HourlySinPpAdjusted". Default: "HourlySinPpAdjusted"

phenology.vernalisation_time.x

Cardinal temperatures for vernalisation time calculation. Default: c(0, 2, 8, 15)

phenology.vernalisation_time.y

Effective vernalisation time at corresponding cardinal temperatures. Default: c(0, 1, 0.5, 0.0)

Methods

get(key)

Retrieve the value of an option by its key (e.g., "phenology.thermal_time.x")

set(key, value)

Set the value of an option by its key

reset()

Reset all options to their default values

Examples

# Get default thermal time cardinal temperatures
chickpea$get("phenology.thermal_time.x")

# Get default vernalisation time parameters
chickpea$get("phenology.vernalisation_time.x")
chickpea$get("phenology.vernalisation_time.y")

# Set custom values
chickpea$set("phenology.thermal_time.x" = c(0, 25, 40))
chickpea$set("phenology.thermal_time.y" = c(0, 25, 0))

# Reset to defaults
chickpea$reset()

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Calculate thermal time using cardinal temperatures

Description

Calculate thermal time using cardinal temperatures

Usage

thermal_time(
  mint,
  maxt,
  x_temp = chickpea$get("phenology.thermal_time.x"),
  y_temp = chickpea$get("phenology.thermal_time.y"),
  method = chickpea$get("phenology.thermal_time.method"),
  ...
)

Arguments

mint	The minimum temperature
maxt	The maximum temperature
x_temp	The cardinal temperatures using to calculate thermal time. The default values are c(2, 30, 35) defined in chickpea$get("phenology.thermal_time.x").
y_temp	The effective thermal time at the corresponding cardinal temperatures. The default values are c(0, 28, 0) defined in chickpea$get("phenology.thermal_time.y").
method	The method to calculate thermal time. The default is "HourlySinPpAdjusted". Other options are "3hr" and NULL (mean temperature).
...	Additional arguments passed to the underlying tidyweather::thermal_time function.

Details

The daily thermal time is calculated by interpolating the effective thermal time at three hour intervals between the daily minimum and maximum temperatures, and then averaging these values to get the daily thermal time. For more information about the chickpea phenology model, see the APSIM Next Generation Chickpea Documentation.

Value

The thermal time.

Examples

mint <- c(0, 10)
maxt <- c(30, 40)
date <- as.Date(c("2024-01-01", "2024-01-02"))
thermal_time(mint, maxt, date = date, lat = -27)

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Calculate vernalisation time using cardinal temperatures

Description

Calculate vernalisation time using cardinal temperatures

Usage

vernalisation_days(
  mint,
  maxt,
  x_temp = chickpea$get("phenology.vernalisation_time.x"),
  y_temp = chickpea$get("phenology.vernalisation_time.y")
)

Arguments

mint	The minimum temperature
maxt	The maximum temperature
x_temp	The cardinal temperatures used to calculate vernalisation time. The default values are defined in chickpea$get("phenology.vernalisation_time.x").
y_temp	The effective vernalisation time at the corresponding cardinal temperatures. The default values are defined in chickpea$get("phenology.vernalisation_time.y").

Details

The daily vernalisation time is calculated by interpolating the effective vernalisation time at three hour intervals between the daily minimum and maximum temperatures, and then averaging these values to get the daily vernalisation time.

For more information about the Chickpea phenology model, see the APSIM Next Generation Chickpea Documentation.

Value

The vernalisation time (days).

Examples

mint <- c(0, 10)
maxt <- c(30, 40)
vernalisation_days(mint, maxt)

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