View source: R/get-forecasts.R
| get_forecasts | R Documentation | 
Get station forecasts from the USDA National Water and Climate Center Air and
Water Database REST API. These will almost always be streamflow forecasts,
set with elements = "SRVO", but some others are also available, albeit with
extremely limited spatial representation (see Details).
get_forecasts(
  aoi = NULL,
  elements,
  awdb_options = set_options(),
  as_sf = FALSE
)
| aoi | 
 | 
| elements | character vector, abbreviations or codes for variables of interest (e.g., "SMS" for "Soil Moisture Percent"). See Details for available elements and codes. | 
| awdb_options | an  | 
| as_sf | boolean scalar, whether to return the data as an  | 
This endpoint will accept the following query parameters via set_options():
begin_publication_date
end_publication_date
exceedence_probabilities
forecast_periods
The following can also be passed to filter stations:
station_names
dco_codes
county_names
hucs
active_only
You may also specify networks and request_size. The networks parameter
is used internally to build unique station triplet identifiers of the form
station:state:network which are then passed to the endpoint, so it serves
to filter stations to just those networks. The request_size parameter is
for handling rate limits, which are based on the number of elements - a hard
value to measure directly, so this parameter is more a rule of thumb than a
strict standard. If processing is slow for you, you may find experimenting
with this parameter useful.
Note that the duration parameter is ignored - or, more precisely, it is set
to NULL.
See set_options() for more details.
Elements are specified as triplets of the form
elementCode:heightDepth:ordinal. Any part of the element triplet can
contain the * wildcard character. Both heightDepth and ordinal are
optional. The unit of heightDepth is inches. If ordinal is not specified,
it is assumed to be 1. Here are some examples:
"WTEQ" - return all snow water equivalent values.
"SMS:-8" - return soil moisture values observed 8 inches below the surface.
"SMS:*" - return soil moisture values for all measured depths.
Almost all forecasts are reported in SRVO, the adjusted streamflow set
which accounts for upstream operations such as reservoir operations and
diversions. JDAY, RESC, and REST are mostly there to maintain
historical forecasts made at Lake Tahoe (the birthplace of the snow
survey). In general, it's recommended to use SRVO.
if as_sf, an sf table, otherwise a simple data.frame. The number
of rows depends on the number of stations and element parameters. Time series
data are included as a list column named "forecast_values".
# get streamflow forecasts
get_forecasts(cascades, elements = "SRVO")
# return as sf table
get_forecasts(cascades, elements = "SRVO", as_sf = TRUE)
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