This vignette covers NOAA buoy data from the National Buoy Data Center. The
main function to get data is buoy, while buoys can be used to
get the buoy IDs and web pages for each buoy.
library('rnoaa')
res <- buoys(dataset = "cwind")
Inspect the buoy ids, and the urls for them
head(res)
#> id
#> 1 41001
#> 2 41002
#> 3 41004
#> 4 41006
#> 5 41008
#> 6 41009
#> url
#> 1 https://dods.ndbc.noaa.gov/thredds/catalog/data/cwind/41001/catalog.html
#> 2 https://dods.ndbc.noaa.gov/thredds/catalog/data/cwind/41002/catalog.html
#> 3 https://dods.ndbc.noaa.gov/thredds/catalog/data/cwind/41004/catalog.html
#> 4 https://dods.ndbc.noaa.gov/thredds/catalog/data/cwind/41006/catalog.html
#> 5 https://dods.ndbc.noaa.gov/thredds/catalog/data/cwind/41008/catalog.html
#> 6 https://dods.ndbc.noaa.gov/thredds/catalog/data/cwind/41009/catalog.html
Or browse them on the web
browseURL(res[1, 2])
With buoy you can get data for a particular dataset, buoy id, year, and datatype.
Get data for a buoy
if no year or datatype specified, we get the first file
buoy(dataset = 'cwind', buoyid = 46085)
#> Dimensions (rows/cols): [33486 X 5]
#> 2 variables: [wind_dir, wind_spd]
#>
#> time lat lon wind_dir wind_spd
#> 1 2007-05-05T02:00:00Z 55.855 -142.559 331 2.8
#> 2 2007-05-05T02:10:00Z 55.855 -142.559 328 2.6
#> 3 2007-05-05T02:20:00Z 55.855 -142.559 329 2.2
#> 4 2007-05-05T02:30:00Z 55.855 -142.559 356 2.1
#> 5 2007-05-05T02:40:00Z 55.855 -142.559 360 1.5
#> 6 2007-05-05T02:50:00Z 55.855 -142.559 10 1.9
#> 7 2007-05-05T03:00:00Z 55.855 -142.559 10 2.2
#> 8 2007-05-05T03:10:00Z 55.855 -142.559 14 2.2
#> 9 2007-05-05T03:20:00Z 55.855 -142.559 16 2.1
#> 10 2007-05-05T03:30:00Z 55.855 -142.559 22 1.6
#> .. ... ... ... ... ...
Including year
buoy(dataset = 'cwind', buoyid = 41001, year = 1999)
#> Dimensions (rows/cols): [52554 X 5]
#> 2 variables: [wind_dir, wind_spd]
#>
#> time lat lon wind_dir wind_spd
#> 1 1999-01-01T00:00:00Z 34.68 -72.66 272 11.7
#> 2 1999-01-01T00:10:00Z 34.68 -72.66 260 11.0
#> 3 1999-01-01T00:20:00Z 34.68 -72.66 249 8.7
#> 4 1999-01-01T00:30:00Z 34.68 -72.66 247 8.4
#> 5 1999-01-01T00:40:00Z 34.68 -72.66 240 7.1
#> 6 1999-01-01T00:50:00Z 34.68 -72.66 242 7.9
#> 7 1999-01-01T01:00:00Z 34.68 -72.66 246 8.3
#> 8 1999-01-01T01:10:00Z 34.68 -72.66 297 10.9
#> 9 1999-01-01T01:20:00Z 34.68 -72.66 299 11.3
#> 10 1999-01-01T01:30:00Z 34.68 -72.66 299 11.1
#> .. ... ... ... ... ...
Including year and datatype
buoy(dataset = 'cwind', buoyid = 45005, year = 2008, datatype = "c")
#> Dimensions (rows/cols): [29688 X 5]
#> 2 variables: [wind_dir, wind_spd]
#>
#> time lat lon wind_dir wind_spd
#> 1 2008-04-29T09:00:00Z 41.677 -82.398 10 9.0
#> 2 2008-04-29T09:10:00Z 41.677 -82.398 8 9.0
#> 3 2008-04-29T09:20:00Z 41.677 -82.398 5 9.3
#> 4 2008-04-29T09:30:00Z 41.677 -82.398 13 9.5
#> 5 2008-04-29T09:40:00Z 41.677 -82.398 14 9.4
#> 6 2008-04-29T09:50:00Z 41.677 -82.398 12 9.4
#> 7 2008-04-29T14:00:00Z 41.677 -82.398 341 6.5
#> 8 2008-04-29T14:10:00Z 41.677 -82.398 332 6.8
#> 9 2008-04-29T14:20:00Z 41.677 -82.398 335 6.4
#> 10 2008-04-29T14:30:00Z 41.677 -82.398 332 6.5
#> .. ... ... ... ... ...
Including just datatype
buoy(dataset = 'cwind', buoyid = 45005, datatype = "c")
#> Dimensions (rows/cols): [26784 X 5]
#> 2 variables: [wind_dir, wind_spd]
#>
#> time lat lon wind_dir wind_spd
#> 1 1996-05-15T23:00:00Z 41.68 -82.4 337 2.2
#> 2 1996-05-15T23:10:00Z 41.68 -82.4 282 1.0
#> 3 1996-05-15T23:20:00Z 41.68 -82.4 282 2.2
#> 4 1996-05-15T23:30:00Z 41.68 -82.4 258 2.6
#> 5 1996-05-15T23:40:00Z 41.68 -82.4 254 3.0
#> 6 1996-05-15T23:50:00Z 41.68 -82.4 252 2.7
#> 7 1996-05-16T00:00:00Z 41.68 -82.4 240 2.1
#> 8 1996-05-16T00:10:00Z 41.68 -82.4 246 2.4
#> 9 1996-05-16T00:20:00Z 41.68 -82.4 251 2.7
#> 10 1996-05-16T00:30:00Z 41.68 -82.4 253 2.9
#> .. ... ... ... ... ...