Median daily potential evaporation for irrigation area (i.e. ~44km2), based
on 1x1km2 grids of DWD. Downloaded with read_daily_data_over_shape
between 2017-01-01 and 2020-12-31
Format
A data.frame with 1461 rows and 10 variables:
- file
name of downloaded grid file source
- date
date
- year
year
- month
month
- day
day
- mean
spatially averaged, mean
- sd
spatially averaged, standard deviation
- min
spatially averaged, min
- max
spatially averaged, max
- n_values
number of grid-cells used for spatial averaging
Examples
if (FALSE) {
### Data download
remotes::install_github("kwb-r/kwb.dwd")
shape_file <- system.file("extdata/input-data/gis/Abwasserverregnungsgebiet.shp",
package = "flextreat.hydrus1d")
# Only data of full months can currently be read!
evapo_p <- kwb.dwd::read_daily_data_over_shape(
file = shape_file,
variable = "evapo_p",
from = "201701",
to = "202012"
)}
head(flextreat.hydrus1d::evapo_p)
#> file date year month day mean sd
#> 1 grids_germany_daily_evapo_p_20170101.asc 2017-01-01 2017 1 1 0.2 0
#> 2 grids_germany_daily_evapo_p_20170102.asc 2017-01-02 2017 1 2 0.2 0
#> 3 grids_germany_daily_evapo_p_20170103.asc 2017-01-03 2017 1 3 0.5 0
#> 4 grids_germany_daily_evapo_p_20170104.asc 2017-01-04 2017 1 4 1.1 0
#> 5 grids_germany_daily_evapo_p_20170105.asc 2017-01-05 2017 1 5 0.0 0
#> 6 grids_germany_daily_evapo_p_20170106.asc 2017-01-06 2017 1 6 0.0 0
#> min max n_values
#> 1 0.2 0.2 46
#> 2 0.2 0.2 46
#> 3 0.5 0.5 46
#> 4 1.1 1.1 46
#> 5 0.0 0.0 46
#> 6 0.0 0.0 46