The goal of buoydata
is to easily download and process buoy data
hosted by National Data Buoy Center. Note: the
rnoaa package also has functions to
get buoy data. The difference is that (in
rnoaa) only one years worth of data
can be downloaded at any time from a single buoy.
buoydata
downloads multiple years and stitches all years data together
in a single data frame. In addition the lazily loaded station
description data provided with the package combines many more attributes
(than rnoaa) by which to filter.
Date of most recent data pull: 2022-06-17
remotes::install_github("NOAA-EDAB/buoydata")
Find all buoys located between latitude [41,43] and longitude [-71,-67] with a time series of at least 20 years. Then pull and process data from a single buoy.
library(buoydata)
buoydata::buoyDataWorld |>
dplyr::filter(LAT > 41,LAT < 43) |>
dplyr::filter(LON > -71, LON < -69) |>
dplyr::filter(nYEARS >= 20)
#> # A tibble: 5 × 13
#> ID Y1 YN nYEARS LAT LON STATION_LOC STATION_NAME TTYPE TIMEZONE
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr> <chr> <chr>
#> 1 44013 1984 2023 40 42.3 -70.7 BOSTON 16 NM… <NA> 2.1-… E
#> 2 44018 2002 2023 22 42.2 -70.2 9 NM North o… CAPE COD 3-me… E
#> 3 44029 2004 2023 20 42.5 -70.6 Massachusett… Buoy A01 Moor… E
#> 4 bzbm3 2004 2023 20 41.5 -70.7 Woods Hole, … 8447930 Wate… E
#> 5 iosn3 1984 2023 40 43.0 -70.6 Isle of Shoa… <NA> C-MA… E
#> # ℹ 3 more variables: OWNER <chr>, OWNERNAME <chr>, COUNTRYCODE <chr>
# get the data for buoy 44013
get_buoy_data(buoyid="44013",year=1984:2019,outDir=here::here("output"))
# process sea surface temperature (celcius) into one large data frame
data <- combine_buoy_data(buoyid = "44013",variable="WTMP",inDir = here::here("output"))
Then plot the data
ggplot2::ggplot(data) +
ggplot2::geom_line(ggplot2::aes(x=DATE,y=WTMP)) +
ggplot2::ylab("Sea Surface Temp (Celcius)") +
ggplot2::xlab("")
andybeet |
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