read_mete: read meteorological data

In kongdd/MissInfo: missing information detect and interpolate

read meteorological data

Description

This function is for original txt file from .

Usage

read_mete(file, lst_varnames, ...)

write_mete(df, prefix = "", date_end = NULL, overwrite = FALSE)

guess_variable(file)

not_select_QC(value)

Arguments

file	txt file path. The txt file is from http://data.cma.cn/. The first 7 columns should be the data of ‘c(’site', 'lat', 'lon', 'alt', 'year', 'month', 'day')'.
...	other parameters to [fread()]

Examples

lst_varnames <- list(
  EVP = c("EVP_sm", "EVP_bg"),
  PRE = c("Prcp_20-08", "Prcp_02-20", "Prcp_20-20"),
  RHU = c("RH_avg", "RH_min"),
  WIN = c("WIN_Avg", "WIN_S_Max", "WIN_D_S_Max", "WIN_INST_Max", "WIN_D_INST_Max"),
  SSD = "SSD",
  GST = c("TG_avg", "TG_max", "TG_min"),
  TEM = c("Tair_avg", "Tair_max", "Tair_min"),
  PRS = c("Pa_avg", "Pa_max", "Pa_min")
)

kongdd/MissInfo documentation built on Jan. 14, 2024, 2:22 a.m.