This package allows to get weather data from ASOS stations (airports) via the awesome website of the Iowa Environment Mesonet.
Install the package with:
install.packages("riem")Or install the development version using devtools with:
library("devtools")
install_github("ropenscilabs/riem")library("riem")
riem_networks()
#> # A tibble: 266 × 2
#> code name
#> <chr> <chr>
#> 1 AE__ASOS United Arab Emirates ASOS
#> 2 AF__ASOS Afghanistan ASOS
#> 3 AG__ASOS Antigua and Barbuda ASOS
#> 4 AI__ASOS Anguilla ASOS
#> 5 AK_ASOS Alaska ASOS
#> 6 AL_ASOS Alabama ASOS
#> 7 AL__ASOS Albania ASOS
#> 8 AM__ASOS Armenia ASOS
#> 9 AN__ASOS Netherlands Antilles ASOS
#> 10 AO__ASOS Angola ASOS
#> # ... with 256 more rowsriem_stations(network = "IN__ASOS")
#> # A tibble: 117 × 4
#> id name lon lat
#> <chr> <chr> <dbl> <dbl>
#> 1 VEAT AGARTALA 91.24045 23.88698
#> 2 VIAG AGRA (IN-AFB) 77.96089 27.15583
#> 3 VAAH AHMADABAD 72.63465 23.07724
#> 4 VAAK AKOLA AIRPORT 77.05863 20.69901
#> 5 VIAH ALIGARH 78.06667 27.88333
#> 6 VIAL ALLAHABAD (IN-AF 81.73387 25.44006
#> 7 VIAR AMRITSAR 74.86667 31.63333
#> 8 VAOR Arkonam 79.69120 13.07120
#> 9 VOAR Arkonam 79.69120 13.07120
#> 10 VAAU Aurangabad Chikalthan 75.39810 19.86270
#> # ... with 107 more rowsPossible variables are (copied from here, see also the ASOS user guide)
station: three or four character site identifier
valid: timestamp of the observation (UTC)
tmpf: Air Temperature in Fahrenheit, typically @ 2 meters
dwpf: Dew Point Temperature in Fahrenheit, typically @ 2 meters
relh: Relative Humidity in %
drct: Wind Direction in degrees from north
sknt: Wind Speed in knots
p01i: One hour precipitation for the period from the observation time to the time of the previous hourly precipitation reset. This varies slightly by site. Values are in inches. This value may or may not contain frozen precipitation melted by some device on the sensor or estimated by some other means. Unfortunately, we do not know of an authoritative database denoting which station has which sensor.
alti: Pressure altimeter in inches
mslp: Sea Level Pressure in millibar
vsby: Visibility in miles
gust: Wind Gust in knots
skyc1: Sky Level 1 Coverage
skyc2: Sky Level 2 Coverage
skyc3: Sky Level 3 Coverage
skyc4: Sky Level 4 Coverage
skyl1: Sky Level 1 Altitude in feet
skyl2: Sky Level 2 Altitude in feet
skyl3: Sky Level 3 Altitude in feet
skyl4: Sky Level 4 Altitude in feet
presentwx: Present Weather Codes (space seperated), see e.g. this manual for further explanations.
metar: unprocessed reported observation in METAR format
measures <- riem_measures(station = "VOHY", date_start = "2000-01-01", date_end = "2016-04-22")
head(measures)
#> # A tibble: 6 × 24
#> station valid lon lat tmpf dwpf relh drct
#> <chr> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 VOHY 2011-08-23 00:40:00 78.4676 17.4531 73.4 69.8 88.51 0
#> 2 VOHY 2011-08-23 01:40:00 78.4676 17.4531 73.4 69.8 88.51 0
#> 3 VOHY 2011-08-23 05:10:00 78.4676 17.4531 82.4 68.0 61.81 270
#> 4 VOHY 2011-08-23 05:40:00 78.4676 17.4531 84.2 66.2 54.80 270
#> 5 VOHY 2011-08-23 06:40:00 78.4676 17.4531 84.2 68.0 58.32 260
#> 6 VOHY 2011-08-23 07:40:00 78.4676 17.4531 84.2 66.2 54.80 250
#> # ... with 16 more variables: sknt <dbl>, p01i <dbl>, alti <dbl>,
#> # mslp <lgl>, vsby <dbl>, gust <dbl>, skyc1 <chr>, skyc2 <chr>,
#> # skyc3 <chr>, skyc4 <chr>, skyl1 <dbl>, skyl2 <dbl>, skyl3 <dbl>,
#> # skyl4 <dbl>, presentwx <chr>, metar <chr>For conversion of wind speed or temperature into other units, see this package.