Fetch APSIM .met file formatted weather data from the weather data from the SILO API of spatially interpolated weather data (DataDrill). The daily climate surfaces have been derived either by splining or kriging the observational data. The returned values contain “source” columns, which denote how the observations were derived. The grid spans 112° to 154°, -10° to -44° with resolution 0.05° latitude by 0.05° longitude (approximately 5 km × 5 km).
get_data_drill_apsim(
longitude,
latitude,
start_date,
end_date = Sys.Date(),
api_key = get_key(service = "SILO")
)An apsimx object of class ‘met’ with attributes.
A single numeric value representing the longitude of the
point-of-interest.
A single numeric value representing the latitude of the
point-of-interest.
A character string or Date object representing the
beginning of the range to query in the format “yyyy-mm-dd”
(ISO8601). Data returned is inclusive of this date.
A character string or Date object representing the end of
the range query in the format “yyyy-mm-dd” (ISO8601). Data
returned is inclusive of this date. Defaults to the current system date.
A character string containing your API key,
an e-mail address, for the request. Defaults to automatically detecting
your key from your local .Renviron, .Rprofile or similar. Alternatively,
you may directly provide your key as a string here. If nothing is
provided, you will be prompted on how to set up your R session so that it
is auto-detected.
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
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.
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_patched_point(),
get_patched_point_apsim(),
get_stations_metadata(),
silo_daily_values
Other data fetching:
get_ag_bulletin(),
get_coastal_forecast(),
get_data_drill(),
get_dpird_apsim(),
get_dpird_extremes(),
get_dpird_minute(),
get_dpird_summaries(),
get_patched_point(),
get_patched_point_apsim(),
get_precis_forecast(),
get_radar_imagery(),
get_satellite_imagery()
Other APSIM:
get_dpird_apsim(),
get_patched_point_apsim(),
reexports
if (FALSE) {
# requires an API key as your email address
# Source data from latitude and longitude coordinates (gridded data) for
# max and minimum temperature and rainfall for Southwood, QLD.
wd <- get_data_drill_apsim(
latitude = -27.85,
longitude = 150.05,
start_date = "20220101",
end_date = "20221231",
api_key = "your_api_key"
)
}
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