gr_join_rean {grwat} | R Documentation |
Join reanalysis data
Description
The function performs spatial join of meteorological variables (temperature and precipitation) from grwat reanalysis to the daily runoff time series. Reanalysis covers the East European Plain with 0.75 degrees spatial resolution and is obtained based on CIRES-DOE (1880-1949) and ERA5 (1950-2021) data. This function is useful when the data from meteorological stations are missing inside the basin.
Usage
gr_join_rean(hdata, rean, buffer)
Arguments
hdata |
|
rean |
|
buffer |
|
Details
Download the reanalysis archive from here.
Value
data.frame
with four columns: date, runoff, temperature, precipitation.
Examples
if (require("sf") && require("ncdf4")) {
library(grwat)
library(dplyr)
# example Spas-Zagorye daily runoff data is included with grwat package
data_path = system.file("extdata", "spas-zagorye.txt",
package = "grwat")
hdata_raw = read.delim(data_path, header = FALSE,
sep = ' ', na.strings = c('-999', '-999.0', '-'),
col.names = c('d', 'm', 'y', 'q'))
hdata = hdata_raw %>%
transmute(Date = lubridate::make_date(y, m, d),
Q = q)
head(hdata)
# read basin
basin_path = system.file("extdata", "spas-zagorye.gpkg",
package = "grwat")
basin = sf::st_read(basin_path, layer = 'basin') # read basin region
basin_buffer = gr_buffer_geo(basin, 25000)
## Not run:
# read reanalysis data
rean = gr_read_rean(
'/Volumes/Data/Spatial/Reanalysis/grwat/pre_1880-2021.nc',
'/Volumes/Data/Spatial/Reanalysis/grwat/temp_1880-2021.nc'
)
# spatial join of reanalysis data to runoff data
hdata_rean = gr_join_rean(hdata, rean, basin_buffer)
head(hdata_rean)
## End(Not run)
}