Fetch the daily BOM 0900 or 1500 weather bulletins and return a data frame for a specified state or territory.
get_weather_bulletin(state = "qld", morning = TRUE)
Arguments
| state | Australian state or territory as full name or postal code.
Fuzzy string matching via |
|---|---|
| morning | If |
Value
Data frame as a data.table object of Australian 9am
or 3pm weather observations for a state. For full details of fields and
units returned see Appendix 4, "Appendix 4 - Output from
get_weather_bulletin()" in the bomrang vignette, use
vignette("bomrang", package = "bomrang") to view.
Details
Allowed state and territory postal codes:
- ACT
Australian Capital Territory (will return NSW)
- NSW
New South Wales
- NT
Northern Territory
- QLD
Queensland
- SA
South Australia
- TAS
Tasmania
- VIC
Victoria
- WA
Western Australia
It is not possible to return weather bulletins for the entire country in a
single call. Rainfall figures for the 9am bulletin are generally for the
preceding 24 hours, while those for the 3pm bulletin are for the preceding 6
hours since 9am. Note that values are manually entered into the bulletins and
sometimes contain typographical errors which may lead to warnings about
"NAs introduced by coercion".
References
Daily observation data come from Australian Bureau of Meteorology (BOM)
website. The 3pm bulletin for Queensland is, for example,
http://www.bom.gov.au/qld/observations/3pm_bulletin.shtml
Author
Mark Padgham, [email protected]
Examples
# \donttest{ qld_weather <- get_weather_bulletin(state = "QLD", morning = FALSE) qld_weather#> stations cld8ths wind_dir wind_speed_kmh temp_c_dry temp_c_dew #> 1: Coconut Is NA <NA> NA NA NA #> 2: Coen Ap NA ENE 24 32 18 #> 3: Horn Is 1 ESE 32 31 22 #> 4: Lockhart River 8 ESE 28 30 23 #> 5: Palmerville NA E 15 36 15 #> --- #> 128: Hobart NA SE 22 19 11 #> 129: Adelaide NA WSW 9 30 10 #> 130: Perth Ap NA SW 22 25 11 #> 131: Darwin 5 N 22 31 23 #> 132: Alice Springs 1 N 13 38 5 #> temp_c_max temp_c_min temp_c_gr barhpa rain_mm weather seastate #> 1: NA NA NA NA NA <NA> <NA> #> 2: 35 NA NA 1008 NA <NA> <NA> #> 3: 33 NA NA 1007 NA <NA> <NA> #> 4: 33 NA NA 1009 NA <NA> <NA> #> 5: 36 NA NA 1008 NA <NA> <NA> #> --- #> 128: NA NA NA 1019 NA <NA> <NA> #> 129: NA NA NA 1011 NA <NA> <NA> #> 130: NA NA NA 1017 NA <NA> <NA> #> 131: 36 NA NA 1007 NA Distant precip. <NA> #> 132: 39 NA NA 1008 NA <NA> <NA># }