Retrieve data from NEWA v3.0 at Cornell University

Retrieve Weather data from the Network for Environment and Weather Applications (NEWA) version 3.0 at Cornell University.

Usage

newa_nrcc3(
  year,
  month,
  day,
  hour,
  station,
  base = "https://hrly.nrcc.cornell.edu/stnHrly"
)

Arguments

year: Numeric value with the start year.
month: Numeric value with the start month.
day: Numeric value with the start day.
hour: Numeric value with the start hour.
station: String with the station abbreviation. Check scrappy::newa3_stations for a list of stations and abbreviations.
base: Base URL (default: https://hrly.nrcc.cornell.edu/stnHrly).

Value

List of data frames with hourly, daily, hourly_forecast, and daily forecast (daily_forecast) data.

Examples

scrappy::newa_nrcc3(2021, 12, 01, 00, "gbe")
#> $hourly
#> # A tibble: 17,939 × 10
#>    date                    flags prcp  temp  rhum  dwpt  lwet  wspd  wdir  srad 
#>    <chr>                   <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#>  1 2021-12-01T00:00:00-05… "   … 0.00  36.3  86    32.5  0     7.1   255   0    
#>  2 2021-12-01T01:00:00-05… "   … 0.00  37.2  81    31.9  0     8.0   258   0    
#>  3 2021-12-01T02:00:00-05… "   … 0.00  37.3  81    32.0  0     6.9   262   0    
#>  4 2021-12-01T03:00:00-05… "   … 0.00  37.2  81    31.9  0     7.6   265   0    
#>  5 2021-12-01T04:00:00-05… "   … 0.00  36.8  80    31.2  0     9.7   268   0    
#>  6 2021-12-01T05:00:00-05… "   … 0.00  35.4  82    30.5  0     6.8   265   0    
#>  7 2021-12-01T06:00:00-05… "   … 0.00  33.6  82    28.7  0     5.7   267   0    
#>  8 2021-12-01T07:00:00-05… "   … 0.00  33.3  77    26.9  0     3.7   242   0    
#>  9 2021-12-01T08:00:00-05… "   … 0.00  33.5  71    25.1  0     3.3   238   1    
#> 10 2021-12-01T09:00:00-05… "   … 0.00  35.3  65    24.7  0     2.9   226   6    
#> # ℹ 17,929 more rows
#> 
#> $daily
#> # A tibble: 747 × 4
#>    date                      prcp  maxt  mint 
#>    <chr>                     <chr> <chr> <chr>
#>  1 2021-12-01T23:59:59-05:00 0.00  41.6  33.3 
#>  2 2021-12-02T23:59:59-05:00 0.24  52.8  35.3 
#>  3 2021-12-03T23:59:59-05:00 0.00  35.9  28.3 
#>  4 2021-12-04T23:59:59-05:00 0.00  43.2  30.7 
#>  5 2021-12-05T23:59:59-05:00 0.00  45.3  30.1 
#>  6 2021-12-06T23:59:59-05:00 0.23  49.0  31.5 
#>  7 2021-12-07T23:59:59-05:00 0.01  31.6  25.2 
#>  8 2021-12-08T23:59:59-05:00 0.02  30.6  22.8 
#>  9 2021-12-09T23:59:59-05:00 0.03  32.2  23.1 
#> 10 2021-12-10T23:59:59-05:00 0.00  46.8  32.3 
#> # ℹ 737 more rows
#> 
#> $hourly_forecast
#> # A tibble: 135 × 12
#>    date        flags temp  rhum  dwpt  lwet  wspd  wdir  srad  tsky  pop12 qpf  
#>    <chr>       <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#>  1 2023-12-18… "   … 44.0  89    40.9  60    16    290   6     100   100   0.027
#>  2 2023-12-18… "   … 44.0  89    40.9  60    16    290   6     100   100   0.027
#>  3 2023-12-18… "   … 44.0  86    40.0  60    16    290   6     100   100   0.027
#>  4 2023-12-18… "   … 43.1  86    38.9  60    16    280   5     96    100   0.002
#>  5 2023-12-18… "   … 43.1  82    38.0  60    16    280   2     93    100   0.002
#>  6 2023-12-18… "   … 40.9  85    37.0  60    16    270   0     89    100   0.002
#>  7 2023-12-18… "   … 40.0  86    36.0  60    14    270   0     90    100   0.002
#>  8 2023-12-18… "   … 40.0  82    35.0  60    14    260   0     91    100   0.002
#>  9 2023-12-18… "   … 40.0  83    35.0  60    14    250   0     92    100   0.002
#> 10 2023-12-18… "   … 38.9  82    34.1  60    13    250   0     95    100   0.005
#> # ℹ 125 more rows
#> 
#> $daily_forecast
#> # A tibble: 6 × 4
#>   date                      maxt  mint  weather
#>   <chr>                     <chr> <chr> <chr>  
#> 1 2023-12-18T23:59:59-05:00 45.6  37.0  rain   
#> 2 2023-12-19T23:59:59-05:00 35.0  25.4  rain   
#> 3 2023-12-20T23:59:59-05:00 38.9  25.1  clear  
#> 4 2023-12-21T23:59:59-05:00 36.0  27.2  mixed  
#> 5 2023-12-22T23:59:59-05:00 34.1  27.0  mixed  
#> 6 2023-12-23T23:59:59-05:00 38.9  29.9  mixed  
#>