meteospain

meteospain aims to offer access to different Spanish meteorological stations data in an uniform way.

Installation

meteospain is in CRAN, and can be installed as any other package:

1install.packages('meteospain')

Also, meteospain is in active development. You can install the development version from GitHub with:

1# install.packages("remotes")
2remotes::install_github("emf-creaf/meteospain")

Services

The following meteorological stations services are available:

AEMET, the Spanish State Meteorological Agency.
MeteoCat, the Catalan Meteorology Service.
MeteoGalicia, the Galician Meteorological Service.
RIA, the Andalucian Agroclimatic Information Network.
Meteoclimatic, the Spanish non-professional meteorological stations network.

Examples

Access to the services is done with the get_meteo_from function, providing the name of the service and the options. Each service has a dedicated *service*_options() function to guide through the specifics of each service:

 1library(meteospain)
 2
 3mg_options <- meteogalicia_options(resolution = 'current_day')
 4get_meteo_from('meteogalicia', mg_options)
 5#> ℹ A información divulgada a través deste servidor ofrécese gratuitamente aos cidadáns para
 6#>   que poida ser
 7#> utilizada libremente por eles, co único compromiso de mencionar expresamente a MeteoGalicia
 8#> e á
 9#> Consellería de Medio Ambiente, Territorio e Vivenda da Xunta de Galicia como fonte da mesma
10#> cada vez
11#> que as utilice para os usos distintos do particular e privado.
12#> https://www.meteogalicia.gal/web/informacion/notaIndex.action
13#> Simple feature collection with 3638 features and 14 fields
14#> Geometry type: POINT
15#> Dimension:     XY
16#> Bounding box:  xmin: -9.184586 ymin: 41.90361 xmax: -6.765224 ymax: 43.70426
17#> Geodetic CRS:  WGS 84
18#> # A tibble: 3,638 × 15
19#>    timestamp           service station_id station_name station_province altitude
20#>    <dttm>              <chr>   <chr>      <chr>        <chr>                 [m]
21#>  1 2024-11-24 08:00:00 meteog… 10045      Mabegondo    A Coruña               94
22#>  2 2024-11-24 08:00:00 meteog… 10046      Marco da Cu… A Coruña              651
23#>  3 2024-11-24 08:00:00 meteog… 10047      Pedro Murias Lugo                   51
24#>  4 2024-11-24 08:00:00 meteog… 10048      O Invernade… Ourense              1026
25#>  5 2024-11-24 08:00:00 meteog… 10049      Corrubedo    A Coruña               30
26#>  6 2024-11-24 08:00:00 meteog… 10050      CIS Ferrol   A Coruña               37
27#>  7 2024-11-24 08:00:00 meteog… 10052      Muralla      A Coruña              661
28#>  8 2024-11-24 08:00:00 meteog… 10053      Campus Lugo  Lugo                  400
29#>  9 2024-11-24 08:00:00 meteog… 10055      Guitiriz-Mi… Lugo                  684
30#> 10 2024-11-24 08:00:00 meteog… 10056      Marroxo      Lugo                  645
31#> # ℹ 3,628 more rows
32#> # ℹ 9 more variables: temperature [°C], min_temperature [°C],
33#> #   max_temperature [°C], relative_humidity [%], precipitation [L/m^2],
34#> #   wind_direction [°], wind_speed [m/s], insolation [h], geometry <POINT [°]>

Stations info can be accessed with get_stations_info_from function:

 1get_stations_info_from('meteogalicia', mg_options)
 2#> Simple feature collection with 153 features and 5 fields
 3#> Geometry type: POINT
 4#> Dimension:     XY
 5#> Bounding box:  xmin: -9.184586 ymin: 41.90361 xmax: -6.765224 ymax: 43.7383
 6#> Geodetic CRS:  WGS 84
 7#> # A tibble: 153 × 6
 8#>    service      station_id station_name             station_province altitude
 9#>  * <chr>        <chr>      <chr>                    <chr>                 [m]
10#>  1 meteogalicia 10157      Coruña-Torre de Hércules A Coruña               21
11#>  2 meteogalicia 14000      Coruña-Dique             A Coruña                5
12#>  3 meteogalicia 10045      Mabegondo                A Coruña               94
13#>  4 meteogalicia 14003      Punta Langosteira        A Coruña                5
14#>  5 meteogalicia 10144      Arzúa                    A Coruña              362
15#>  6 meteogalicia 19005      Guísamo                  A Coruña              175
16#>  7 meteogalicia 10095      Sergude                  A Coruña              231
17#>  8 meteogalicia 10800      Camariñas                A Coruña                5
18#>  9 meteogalicia 19001      Rus                      A Coruña              134
19#> 10 meteogalicia 10147      Cariño                   A Coruña               20
20#> # ℹ 143 more rows
21#> # ℹ 1 more variable: geometry <POINT [°]>

Returned objects are spatial objects (using the sf R package), so results can be plotted directly:

 1library(sf)
 2#> Linking to GEOS 3.11.1, GDAL 3.6.4, PROJ 9.1.1; sf_use_s2() is TRUE
 3mg_options <- meteogalicia_options(resolution = 'daily', start_date = as.Date('2021-04-25'))
 4plot(get_meteo_from('meteogalicia', mg_options))
 5#> ℹ A información divulgada a través deste servidor ofrécese gratuitamente aos cidadáns para
 6#>   que poida ser
 7#> utilizada libremente por eles, co único compromiso de mencionar expresamente a MeteoGalicia
 8#> e á
 9#> Consellería de Medio Ambiente, Territorio e Vivenda da Xunta de Galicia como fonte da mesma
10#> cada vez
11#> que as utilice para os usos distintos do particular e privado.
12#> https://www.meteogalicia.gal/web/informacion/notaIndex.action
13#> Warning: plotting the first 9 out of 16 attributes; use max.plot = 16 to plot
14#> all

1
2plot(get_stations_info_from('meteogalicia', mg_options))

API keys

Some services, like AEMET or Meteocat, require an API key to access the data. meteospain doesn’t provide any key for those services, see ?services_options for information about this.

Once a key has been obtained, we can get the meteo:

 1get_meteo_from('aemet', aemet_options(api_key = keyring::key_get("aemet")))
 2#> ℹ © AEMET. Autorizado el uso de la información y su reproducción citando a AEMET como
 3#>   autora de la misma.
 4#> https://www.aemet.es/es/nota_legal
 5#> Simple feature collection with 10154 features and 14 fields
 6#> Geometry type: POINT
 7#> Dimension:     XY
 8#> Bounding box:  xmin: -18.115 ymin: 27.72528 xmax: 4.323889 ymax: 43.78621
 9#> Geodetic CRS:  WGS 84
10#> # A tibble: 10,154 × 15
11#>    timestamp           service station_id station_name station_province altitude
12#>    <dttm>              <chr>   <chr>      <chr>        <chr>                 [m]
13#>  1 2024-11-24 19:00:00 aemet   0009X      ALFORJA      TARRAGONA             406
14#>  2 2024-11-24 19:00:00 aemet   0016A      REUS/AEROPU… <NA>                   71
15#>  3 2024-11-24 19:00:00 aemet   0034X      VALLS        TARRAGONA             233
16#>  4 2024-11-24 19:00:00 aemet   0042Y      TARRAGONA  … <NA>                   55
17#>  5 2024-11-24 19:00:00 aemet   0061X      PONTONS      BARCELONA             632
18#>  6 2024-11-24 19:00:00 aemet   0066X      VILAFRANCA … BARCELONA             177
19#>  7 2024-11-24 19:00:00 aemet   0073X      SITGES-VALL… <NA>                   58
20#>  8 2024-11-24 19:00:00 aemet   0076       BARCELONA/A… <NA>                    4
21#>  9 2024-11-24 19:00:00 aemet   0092X      BERGA  INST… <NA>                  682
22#> 10 2024-11-24 19:00:00 aemet   0106X      BALSARENY    BARCELONA             361
23#> # ℹ 10,144 more rows
24#> # ℹ 9 more variables: temperature [°C], min_temperature [°C],
25#> #   max_temperature [°C], relative_humidity [%], precipitation [L/m^2],
26#> #   wind_direction [°], wind_speed [m/s], insolation [h], geometry <POINT [°]>

meteospain

Víctor Granda-García

Miquel de Cáceres

Aitor Ameztegui

Ecosystem Modelling Facility

meteospain

Installation

Services

Examples

API keys

WHAT WE DO

CONTACT