get_patched_point_apsim {weatherOz} | R Documentation |
Fetch APSIM .met file formatted weather data from the SILO API derived from the BOM station observations (PatchedPoint) data.
get_patched_point_apsim(
station_code,
start_date,
end_date = Sys.Date(),
api_key = get_key(service = "SILO")
)
station_code |
A |
start_date |
A |
end_date |
A |
api_key |
A |
The SILO documentation provides the following information for the PatchedPoint data.
These data are a continuous daily time series of data at either recording stations or grid points across Australia:
Data at station locations consists of observational records which have been supplemented by interpolated estimates when observed data are missing. Datasets are available at approximately 8,000 Bureau of Meteorology recording stations around Australia.
Data at grid points consists entirely of interpolated estimates. The data are taken from the SILO gridded datasets and are available at any pixel on a 0.05° × 0.05° grid over the land area of Australia (including some islands).
An apsimx object of class ‘met’ with attributes.
Rainfall
Maximum temperature
Minimum temperature
Vapour pressure
Class A pan evaporation
Solar exposure, consisting of both direct and diffuse components
Solar radiation: total incoming downward shortwave radiation on a horizontal surface, derived from estimates of cloud oktas and sunshine duration2.
Evaporation and evapotranspiration: an overview of the variables provided by SILO is available here, https://data.longpaddock.qld.gov.au/static/publications/Evapotranspiration_overview.pdf.
Where the source code is a 6 digit string comprising the source code for the 6 variables. The single digit code for each variable is:
an actual observation;
an actual observation from a composite station;
a value interpolated from daily observations;
a value interpolated from daily observations using the anomaly interpolation method for CLIMARC data;
a synthetic pan value; or
an interpolated long term average.
To save “met” objects the apsimx::write_apsim_met()
is reexported.
Note that when saving, comments from SILO will be included, but these will
not be printed as a part of the resulting met
object in your R session.
Rodrigo Pires, rodrigo.pires@dpird.wa.gov.au, and Adam Sparks, adamhsparks@gmail.com
Rayner, D. (2005). Australian synthetic daily Class A pan evaporation. Technical Report December 2005, Queensland Department of Natural Resources and Mines, Indooroopilly, Qld., Australia, 40 pp.
Morton, F. I. (1983). Operational estimates of areal evapotranspiration and their significance to the science and practice of hydrology, Journal of Hydrology, Volume 66, 1-76.
Other SILO:
find_nearby_stations()
,
find_stations_in()
,
get_data_drill()
,
get_data_drill_apsim()
,
get_patched_point()
,
get_stations_metadata()
,
silo_daily_values
Other APSIM:
get_data_drill_apsim()
,
get_dpird_apsim()
,
reexports
Other data fetching:
get_ag_bulletin()
,
get_coastal_forecast()
,
get_data_drill()
,
get_data_drill_apsim()
,
get_dpird_apsim()
,
get_dpird_extremes()
,
get_dpird_minute()
,
get_dpird_summaries()
,
get_patched_point()
,
get_precis_forecast()
,
get_radar_imagery()
,
get_satellite_imagery()
## Not run:
# requires an API key as your email address
# Source observation data for Wongan Hills station, WA (008137)
wd <- get_patched_point_apsim(
station_code = "008137",
start_date = "20220101",
end_date = "20221231",
api_key = "your_api_key"
)
## End(Not run)