Select hydrologic years

Select hydrologic years

Usage

select_hydrologic_years(atm = prepare_atmosphere_data())

Arguments

atm

atm as retrieved by prepare_atmosphere_data

Value

select hydrologic years

Examples

atm <- prepare_atmosphere_data()
atm_selected <- select_hydrologic_years(atm)
head(atm_selected)
#> # A tibble: 6 × 6
#>   date       irrigation_area_sqm groundwater.mmPerDay clearwater.mmPerDay
#>   <date>                   <dbl>                <dbl>               <dbl>
#> 1 2017-05-01            27000000              0.00765                1.05
#> 2 2017-05-02            27000000              0.00765                1.05
#> 3 2017-05-03            27000000              0.00765                1.05
#> 4 2017-05-04            27000000              0.00765                1.05
#> 5 2017-05-05            27000000              0.00765                1.05
#> 6 2017-05-06            27000000              0.00765                1.05
#> # ℹ 2 more variables: rain_mm <dbl>, evapo_p_mean_mm <dbl>
tail(atm_selected)
#> # A tibble: 6 × 6
#>   date       irrigation_area_sqm groundwater.mmPerDay clearwater.mmPerDay
#>   <date>                   <dbl>                <dbl>               <dbl>
#> 1 2023-10-26            27000000                    0               0.838
#> 2 2023-10-27            27000000                    0               0.838
#> 3 2023-10-28            27000000                    0               0.838
#> 4 2023-10-29            27000000                    0               0.838
#> 5 2023-10-30            27000000                    0               0.838
#> 6 2023-10-31            27000000                    0               0.838
#> # ℹ 2 more variables: rain_mm <dbl>, evapo_p_mean_mm <dbl>