ncdc | R Documentation |
Search for and get NOAA NCDC data
ncdc(
datasetid = NULL,
datatypeid = NULL,
stationid = NULL,
locationid = NULL,
startdate = NULL,
enddate = NULL,
sortfield = NULL,
sortorder = NULL,
limit = 25,
offset = NULL,
token = NULL,
includemetadata = TRUE,
add_units = FALSE,
...
)
datasetid |
(required) Accepts a single valid dataset id. Data
returned will be from the dataset specified, see |
datatypeid |
Accepts a valid data type id or a vector or list of data type ids. (optional) |
stationid |
Accepts a valid station id or a vector or list of station ids |
locationid |
Accepts a valid location id or a vector or list of location ids (optional) |
startdate |
(character/date) Accepts valid ISO formated date (yyyy-mm-dd) or date time (YYYY-MM-DDThh:mm:ss). Data returned will have data after the specified date. The date range must be less than 1 year. required. |
enddate |
(character/date) Accepts valid ISO formated date (yyyy-mm-dd) or date time (YYYY-MM-DDThh:mm:ss). Data returned will have data before the specified date. The date range must be less than 1 year. required. |
sortfield |
The field to sort results by. Supports id, name, mindate, maxdate, and datacoverage fields (optional) |
sortorder |
Which order to sort by, asc or desc. Defaults to asc (optional) |
limit |
Defaults to 25, limits the number of results in the response. Maximum is 1000 (optional) |
offset |
Defaults to 0, used to offset the resultlist (optional) |
token |
This must be a valid token token supplied to you by NCDC's Climate Data Online access token generator. (required) See Authentication section below for more details. |
includemetadata |
Used to improve response time by preventing the calculation of result metadata. Default: TRUE. This does not affect the return object, in that the named part of the output list called "meta" is still returned, but is NULL. In practice, I haven't seen response time's improve, but perhaps they will for you. |
add_units |
(logical) whether to add units information or not.
default: |
... |
Curl options passed on to |
Note that NOAA NCDC API calls can take a long time depending on the call. The NOAA API doesn't perform well with very long timespans, and will time out and make you angry - beware.
Keep in mind that three parameters, datasetid, startdate, and enddate are required.
Note that the default limit (no. records returned) is 25. Look at the
metadata in $meta
to see how many records were found. If more were
found than 25, you could set the parameter limit
to something
higher than 25.
An S3 list of length two, a slot of metadata (meta), and a slot
for data (data). The meta slot is a list of metadata elements, and the
data slot is a data.frame, possibly of length zero if no data is found. Note
that values in the data slot don't indicate their units by default, so you
will want to either use the add_units
parameter (experimental, see Adding
units) or consult the documentation for each dataset to ensure you're using
the correct units.
Get an API key (aka, token) at https://www.ncdc.noaa.gov/cdo-web/token You can pass your token in as an argument or store it one of two places:
your .Rprofile file with the entry
options(noaakey = "your-noaa-token")
your .Renviron file with the entry
NOAA_KEY=your-noaa-token
See Startup
for information on how to create/find your
.Rrofile and .Renviron files
The attributes, or "flags", for each row of the output for data may have
a flag with it. Each datasetid
has it's own set of flags. The
following are flag columns, and what they stand for. fl_
is the
beginning of each flag column name, then one or more characters to describe
the flag, keeping it short to maintain a compact data frame. Some of
these fields are the same across datasetids. See the vignette
vignette("rnoaa_attributes", "rnoaa")
for description of possible
values for each flag.
fl_c completeness
fl_d day
fl_m measurement
fl_q quality
fl_s source
fl_t time
fl_cmiss consecutive missing
fl_miss missing
fl_u units
Note that flags are different for GSOM and GSOY datasets. They have their
own set of flags per data class. See
system.file("extdata/gsom.json", package = "rnoaa")
for GSOM
and system.file("extdata/gsom.json", package = "rnoaa")
for GSOY.
Those are JSON files. The system.file()
call gives you then path,
then read in with jsonlite::fromJSON()
which will give a data.frame
of the metadata. For more detailed info but plain text, open
system.file("extdata/gsom_readme.txt", package = "rnoaa")
and system.file("extdata/gsoy_readme.txt", package = "rnoaa")
in a text editor.
The add_units
parameter is experimental - USE WITH CAUTION!
If add_units=TRUE
we pull data from curated lists of data
used by matching by datasetid and data type.
We've attempted to gather as much information as possible on the many, many data types across the many different NOAA data sets. However, we may have got some things wrong, so make sure to double check data you get if you do add units.
Get in touch if you find some units that are wrong or missing, and if you are able to help correct information.
Other ncdc:
ncdc_combine()
,
ncdc_datacats()
,
ncdc_datasets()
,
ncdc_datatypes()
,
ncdc_locs_cats()
,
ncdc_locs()
,
ncdc_plot()
,
ncdc_stations()
## Not run:
# GHCN-Daily (or GHCND) data, for a specific station
ncdc(datasetid='GHCND', stationid='GHCND:USW00014895',
startdate = '2013-10-01', enddate = '2013-12-01')
### also accepts dates as class Date
ncdc(datasetid='GHCND', stationid='GHCND:USW00014895',
startdate = as.Date('2013-10-01'), enddate = as.Date('2013-12-01'))
# GHCND data, for a location by FIPS code
ncdc(datasetid='GHCND', locationid = 'FIPS:02', startdate = '2010-05-01',
enddate = '2010-05-10')
# GHCND data from October 1 2013 to December 1 2013
ncdc(datasetid='GHCND', startdate = '2013-10-01', enddate = '2013-10-05')
# GHCN-Monthly (or GSOM) data from October 1 2013 to December 1 2013
ncdc(datasetid='GSOM', startdate = '2013-10-01', enddate = '2013-12-01')
ncdc(datasetid='GSOM', startdate = '2013-10-01', enddate = '2013-12-01',
stationid = "GHCND:AE000041196")
# Normals Daily (or NORMAL_DLY) GHCND:USW00014895 dly-tmax-normal data
ncdc(datasetid='NORMAL_DLY', stationid='GHCND:USW00014895',
startdate = '2010-05-01', enddate = '2010-05-10')
# Dataset, and location in Australia
ncdc(datasetid='GHCND', locationid='FIPS:AS', startdate = '2010-05-01',
enddate = '2010-05-31')
# Dataset, location and datatype for PRECIP_HLY data
ncdc(datasetid='PRECIP_HLY', locationid='ZIP:28801', datatypeid='HPCP',
startdate = '2010-05-01', enddate = '2010-05-10')
# multiple datatypeid's
ncdc(datasetid='PRECIP_HLY', datatypeid = 'HPCP',
startdate = '2010-05-01', enddate = '2010-05-10')
# multiple locationid's
ncdc(datasetid='PRECIP_HLY', locationid=c("FIPS:30103", "FIPS:30091"),
startdate = '2010-05-01', enddate = '2010-05-10')
# Dataset, location, station and datatype
ncdc(datasetid='PRECIP_HLY', locationid='ZIP:28801',
stationid='COOP:310301', datatypeid='HPCP',
startdate = '2010-05-01', enddate = '2010-05-10')
# Dataset, location, and datatype for GHCND
ncdc(datasetid='GHCND', locationid='FIPS:BR', datatypeid='PRCP',
startdate = '2010-05-01', enddate = '2010-05-10')
# Normals Daily GHCND dly-tmax-normal data
ncdc(datasetid='NORMAL_DLY', datatypeid='dly-tmax-normal',
startdate = '2010-05-01', enddate = '2010-05-10')
# Normals Daily GHCND:USW00014895 dly-tmax-normal
ncdc(datasetid='NORMAL_DLY', stationid='GHCND:USW00014895',
datatypeid='dly-tmax-normal',
startdate = '2010-05-01', enddate = '2010-05-10')
# Hourly Precipitation data for ZIP code 28801
ncdc(datasetid='PRECIP_HLY', locationid='ZIP:28801', datatypeid='HPCP',
startdate = '2010-05-01', enddate = '2010-05-10')
# 15 min Precipitation data for ZIP code 28801
ncdc(datasetid='PRECIP_15', datatypeid='QPCP',
startdate = '2010-05-01', enddate = '2010-05-02')
# Search the NORMAL_HLY dataset
ncdc(datasetid='NORMAL_HLY', stationid = 'GHCND:USW00003812',
startdate = '2010-05-01', enddate = '2010-05-10')
# Search the GSOY dataset
ncdc(datasetid='ANNUAL', locationid='ZIP:28801', startdate = '2010-05-01',
enddate = '2010-05-10')
# Search the NORMAL_ANN dataset
ncdc(datasetid='NORMAL_ANN', datatypeid='ANN-DUTR-NORMAL',
startdate = '2010-01-01', enddate = '2010-01-01')
# Include metadata or not
ncdc(datasetid='GHCND', stationid='GHCND:USW00014895',
startdate = '2013-10-01', enddate = '2013-12-01')
ncdc(datasetid='GHCND', stationid='GHCND:USW00014895',
startdate = '2013-10-01', enddate = '2013-12-01', includemetadata=FALSE)
# Many stationid's
stat <- ncdc_stations(startdate = "2000-01-01", enddate = "2016-01-01")
## find out what datasets might be available for these stations
ncdc_datasets(stationid = stat$data$id[10])
## get some data
ncdc(datasetid = "GSOY", stationid = stat$data$id[1:10],
startdate = "2010-01-01", enddate = "2011-01-01")
## End(Not run)
## Not run:
# NEXRAD2 data
## doesn't work yet
ncdc(datasetid='NEXRAD2', startdate = '2013-10-01', enddate = '2013-12-01')
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.