calib_green: Calibration of the GREEN model

In GREENeR: Geospatial Regression Equation for European Nutrient Losses (GREEN)

Calibration of the GREEN model

Description

Runs GREEN model calibration

Usage

calib_green(catch_data, annual_data, n_iter, low, upp, years)

Arguments

catch_data	data frame. Definition of the topological sequence of catchments.
annual_data	data frame. Sources of nutrient for each year and catchments.
n_iter	numeric. Number of iterations for the calibration process.
low	numeric. Lower bounds of the calibration parameters.
upp	numeric. Upper bounds of the calibration parameters.
years	integer. Years to be used in the calibration. For sequences use c(yearini:yearend).

Value

One object, a data frame with the model calibration

Examples

# the data of the TN scenario
data(catch_data_TN)
data(annual_data_TN)
# the parameter for the calibration of the model
n_iter <- 2 # number of iterations
# the lower limits for all params (alpha_P, alpha_L, sd_coef)
low <- c(10, 0.000, 0.1)
# the upper limits for all params (alpha_P, alpha_L, sd_coef)
upp <- c(70, 0.3,  0.9)
# years in which the model should be executed
years <- 1990:2018
# execution of the calibration
dF_calib <- calib_green(catch_data_TN, annual_data_TN, n_iter, low, upp,
years)

GREENeR documentation built on Nov. 17, 2023, 1:06 a.m.