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Prepare Atmospheric Data

Usage

prepare_atmosphere_data()

Value

data frame with atmospheric data for Braunschweig

Examples

atm <- prepare_atmosphere_data()
atm
#> # A tibble: 2,556 × 6
#>    date       irrigation_area_sqm groundwater.mmPerDay clearwater.mmPerDay
#>    <date>                   <dbl>                <dbl>               <dbl>
#>  1 2017-01-01            27000000                    0                   0
#>  2 2017-01-02            27000000                    0                   0
#>  3 2017-01-03            27000000                    0                   0
#>  4 2017-01-04            27000000                    0                   0
#>  5 2017-01-05            27000000                    0                   0
#>  6 2017-01-06            27000000                    0                   0
#>  7 2017-01-07            27000000                    0                   0
#>  8 2017-01-08            27000000                    0                   0
#>  9 2017-01-09            27000000                    0                   0
#> 10 2017-01-10            27000000                    0                   0
#> # ℹ 2,546 more rows
#> # ℹ 2 more variables: rain_mm <dbl>, evapo_p_mean_mm <dbl>