gen_ETo_vars: Generate ETo predictors from aquastat data

In gopalpenny/fao56:

Description

Generate ETo predictors from aquastat data

Usage

gen_ETo_vars(clim_data, lat, z, col_select = NULL)

Arguments

clim_data	data.frame of monthly climate data in order of Jan-Dec, containing the columns described below
lat	latitude in decimal degrees
z	elevation in m
col_select	character vector specifying which columns to return from the original data

Details

• Rel_Hum_pct

• Tmp_max_degC

• Tmp_min_degC

• Tmp_Mean_degC

• Sun_shine_pct (0-100)

• Wind_2m_m_per_s

Examples

# Locate and read the example et0 csv file
et0_path <- system.file("extdata", "ET0_example_file.csv", package = "fao56")
col_select <- c("Rn_MJ_per_day", "G_MJ_per_day", "Tmp_Mean_degC",
    "Wind_2m_m_per_s", "es_kPa", "ea_kPa", "ETo_calc", "ETo_mm_per_d")
clim_data <- read_et0_csv(et0_path)
ETo_df <- gen_ETo_vars(clim_data, lat = 20.59, z = 231, col_select = col_select)

gopalpenny/fao56 documentation built on Feb. 14, 2022, 6:01 a.m.