buoy: Get NOAA buoy data from the National Buoy Data Center

In rnoaa: 'NOAA' Weather Data from R

Get NOAA buoy data from the National Buoy Data Center

Description

Get NOAA buoy data from the National Buoy Data Center

Usage

buoy(dataset, buoyid, year = NULL, datatype = NULL, ...)

buoys(dataset)

buoy_stations(refresh = FALSE, ...)

Arguments

dataset	(character) Dataset name to query. See below for Details. Required
buoyid	Buoy ID, can be numeric/integer/character. Required
year	(integer) Year of data collection. Optional. Note there is a special value 9999 that, if found, contains the most up to date data.
datatype	(character) Data type, one of 'c', 'cc', 'p', 'o'. Optional
...	Curl options passed on to crul::verb-GET Optional. A number of different HTTP requests are made internally, but we only pass this on to the request to get the netcdf file in the internal function get_ncdf_file()
refresh	(logical) Whether to use cached data (FALSE) or get new data (FALSE). Default: FALSE

Details

Functions:

• buoy_stations - Get buoy stations. A cached version of the dataset is available in the package. Beware, takes a long time to run if you do refresh = TRUE

• buoys - Get available buoys given a dataset name

• buoy - Get data given some combination of dataset name, buoy ID, year, and datatype

Options for the dataset parameter. One of:

• adcp - Acoustic Doppler Current Profiler data

• adcp2 - MMS Acoustic Doppler Current Profiler data

• cwind - Continuous Winds data

• dart - Deep-ocean Assessment and Reporting of Tsunamis data

• mmbcur - Marsh-McBirney Current Measurements data

• ocean - Oceanographic data

• pwind - Peak Winds data

• stdmet - Standard Meteorological data

• swden - Spectral Wave Density data with Spectral Wave Direction data

• wlevel - Water Level data

Value

If netcdf data has lat/lon variables, then we'll parse into a tidy data.frame. If not, we'll give back the ncdf4 object for the user to parse (in which case the data.frame will be empty).

References

http://www.ndbc.noaa.gov/, http://dods.ndbc.noaa.gov/

Examples

## Not run: 
if (crul::ok("https://dods.ndbc.noaa.gov/thredds", timeout_ms = 1000)) {

# Get buoy station information
x <- buoy_stations()
# refresh stations as needed, takes a while to run
# you shouldn't need to update very often
# x <- buoy_stations(refresh = TRUE)
if (interactive() && requireNamespace("leaflet")){
library("leaflet")
z <- leaflet(data = na.omit(x))
z <- leaflet::addTiles(z)
leaflet::addCircles(z, ~lon, ~lat, opacity = 0.5)
}

# year=9999 to get most current data - not always available
buoy(dataset = "swden", buoyid = 46012, year = 9999)

# Get available buoys
buoys(dataset = 'cwind')

# Get data for a buoy
## if no year or datatype specified, we get the first file
buoy(dataset = 'cwind', buoyid = 46085)

# Including specific year
buoy(dataset = 'cwind', buoyid = 41001, year = 1999)

# Including specific year and datatype
buoy(dataset = 'cwind', buoyid = 45005, year = 2008, datatype = "c")
buoy(dataset = 'cwind', buoyid = 41001, year = 1997, datatype = "c")

# Other datasets
buoy(dataset = 'ocean', buoyid = 41029)

# curl debugging
buoy(dataset = 'cwind', buoyid = 46085, verbose = TRUE)

# some buoy ids are character, case doesn't matter, we'll account for it
buoy(dataset = "stdmet", buoyid = "VCAF1")
buoy(dataset = "stdmet", buoyid = "wplf1")
buoy(dataset = "dart", buoyid = "dartu")

}

## End(Not run)

rnoaa documentation built on April 27, 2023, 9:08 a.m.