{weatherOz} aims to facilitate access and download weather and climate data for Australia from Australian data sources. Data are sourced from from the Western Australian Department of Primary Industries and Regional Development (DPIRD) and the Scientific Information for Land Owners (SILO) API endpoints and the Australian Government Bureau of Meteorology’s (BOM) FTP server.
The package queries the APIs or an FTP server and returns data as a data frame or radar and satellite imagery in your R session. Observation data from DPIRD’s weather station network are available via the Weather 2.0 Open API initiative. SILO data is available from Queensland’s Long Paddock initiative (Jeffery et al. 2001) and are spatially and temporally complete, covering all Australia and few nearby islands (112 to 154 degrees longitude, -10 to -44 degrees latitude), with resolution 0.05° longitude by 0.05° latitude (approximately 5 km × 5 km). Visit the SILO website for more details about how the data is prepared and which climate data are available. Agriculture bulletins, radar imagery, satellite imagery and seven-day forecasts are available from the Bureau of Meteorology (BOM) via an anonymous FTP server.
Access to DPIRD API requires an API key. Apply for an API key by submitting the DPIRD API registration form. Access to the SILO API is conditioned to supplying a valid email address with the user query. Follow the API Terms and Conditions for the DPIRD and SILO APIs.
Observation data from the DPIRD’s weather station network is also available via a web interface. The data available is a mirror of the DPIRD Weather 2.0 API endpoints. Rainfall estimates are also available at virtual stations (i.e., where no observational data is present) and is sourced from the Doppler radar service provided by the Australian Government Bureau of Meteorology (BOM) under license.
You can install the stable version of {weatherOz} from CRAN like so:
install.packages("weatherOz")You can install the development version of {weatherOz} like so:
install.packages("weatherOz", repos = "https://ropensci.r-universe.dev")The examples in this README assume that you have stored your API key in your .Renviron file. See Chapter 8 in “What They Forgot to Teach You About R” by Bryan et al. for more on storing details in your .Renviron if you are unfamiliar.
Source wind and erosion conditions for daily time interval from the DPIRD Weather 2.0 API.
library(weatherOz)
#>
#> Attaching package: 'weatherOz'
#> The following object is masked from 'package:graphics':
#>
#> plot
#> The following object is masked from 'package:base':
#>
#> plot
wd <- get_dpird_summaries(
station_code = "BI",
start_date = "20220501",
end_date = "20220502",
api_key = Sys.getenv("DPIRD_API_KEY"),
interval = "daily",
values = c(
"wind",
"erosionCondition",
"erosionConditionMinutes",
"erosionConditionStartTime"
)
)
wd
#> Key: <station_code>
#> station_code station_name longitude latitude year month day date
#> <fctr> <char> <num> <num> <int> <int> <int> <Date>
#> 1: BI Binnu 114.6958 -28.051 2022 5 1 2022-05-01
#> 2: BI Binnu 114.6958 -28.051 2022 5 1 2022-05-01
#> 3: BI Binnu 114.6958 -28.051 2022 5 2 2022-05-02
#> 4: BI Binnu 114.6958 -28.051 2022 5 2 2022-05-02
#> erosion_condition_minutes erosion_condition_start_time wind_avg_speed
#> <int> <POSc> <num>
#> 1: 0 <NA> 10.85
#> 2: 0 <NA> 15.57
#> 3: 7 2022-05-02 15:01:00 13.06
#> 4: 7 2022-05-02 15:01:00 17.70
#> wind_height wind_max_direction_compass_point wind_max_direction_degrees
#> <int> <char> <int>
#> 1: 3 SSW 200
#> 2: 10 SSW 194
#> 3: 3 SSW 205
#> 4: 10 SSW 193
#> wind_max_speed wind_max_time
#> <num> <POSc>
#> 1: 31.82 2022-05-01 17:28:00
#> 2: 34.88 2022-05-01 17:34:00
#> 3: 38.52 2022-05-02 16:07:00
#> 4: 40.10 2022-05-02 16:31:00Source data from latitude and longitude coordinates (gridded data - SILO API) Southwood, QLD for max and min temperature and rainfall.
library(weatherOz)
wd <- get_data_drill(
latitude = -27.85,
longitude = 150.05,
start_date = "20221001",
end_date = "20221201",
values = c(
"max_temp",
"min_temp",
"rain"
),
api_key = Sys.getenv("SILO_API_KEY")
)
head(wd)
#> longitude latitude year month day date air_tmax air_tmax_source
#> <num> <num> <num> <num> <int> <Date> <num> <int>
#> 1: 150.05 -27.85 2022 10 1 2022-10-01 25.1 25
#> 2: 150.05 -27.85 2022 10 2 2022-10-02 22.6 25
#> 3: 150.05 -27.85 2022 10 3 2022-10-03 24.0 25
#> 4: 150.05 -27.85 2022 10 4 2022-10-04 25.7 25
#> 5: 150.05 -27.85 2022 10 5 2022-10-05 22.3 25
#> 6: 150.05 -27.85 2022 10 6 2022-10-06 24.4 25
#> air_tmin air_tmin_source elev_m extracted rainfall rainfall_source
#> <num> <int> <char> <Date> <num> <int>
#> 1: 9.8 25 254.5 m 2024-04-19 0.9 25
#> 2: 11.7 25 254.5 m 2024-04-19 0.0 25
#> 3: 7.8 25 254.5 m 2024-04-19 0.0 25
#> 4: 10.6 25 254.5 m 2024-04-19 0.0 25
#> 5: 13.3 25 254.5 m 2024-04-19 0.0 25
#> 6: 14.7 25 254.5 m 2024-04-19 1.8 25Note that most of the data are not static and may be replaced with improved data. Also please note that SILO may be unavailable between 11am and 1pm (Brisbane time) each Wednesday and Thursday to allow for essential system maintenance.
Please also note that not all exposed endpoints of the DPIRD APIs have associated functions. Development is ongoing. While we are responsive to user requests, we don’t make any commitments about speed of delivery.
Jeffrey, S.J., Carter, J.O., Moodie, K.B. and Beswick, A.R. (2001). Using spatial interpolation to construct a comprehensive archive of Australian climate data, Environmental Modelling and Software, Vol 16/4, pp 309-330. https://doi.org/10.1016/S1364-8152(01)00008-1.
Please note that this package is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.