---
title: "weatherOz for BOM"
author: "Jonathan Carroll, Dean Marchiori, Paul Melloy, Mark Padgham, Hugh Parsonage, Keith Pembleton and Adam H. Sparks"
output:
  rmarkdown::html_vignette:
    toc: true
vignette: >
  %\VignetteIndexEntry{weatherOz for BOM}
  %\VignetteEngine{knitr::rmarkdown_notangle}
  %\VignetteEncoding{UTF-8}
---


# Using {weatherOz} With BOM Data

Several functions are provided by {weatherOz} to retrieve Australian Bureau of Meteorology (BOM) data.
A family of functions retrieve data files from BOM or parse local files from BOM and return data frames;

 * `get_precis_forecast()` and `parse_precis_forecast()`, which return the précis (short) forecast;
 * agricultural bulletin functions `get_ag_bulletin()` and `parse_ag_bulletin()` were defunct in v2.x and removed in v3.0.0 after BOM discontinued the service;
 * `get_coastal_forecast()` and `parse_coastal_forecast()`, which return coastal waters forecasts for each state.

## Using get_precis_forecast()

This function only takes one argument, `state`. The `state` parameter allows the user to select the forecast for just one state or a national forecast.
States or territories are specified using the official postal codes or full name with fuzzy matching performed via `agrep()`.

- **ACT** - Australian Capital Territory

- **NSW** - New South Wales

- **NT** - Northern Territory

- **QLD** - Queensland

- **SA** - South Australia

- **TAS** - Tasmania

- **VIC** - Victoria

- **WA** - Western Australia

- **AUS** - Australia, returns national forecast including all states, NT and ACT.

### Results

The function, `get_precis_forecast()`, will return a data frame of the weather forecast for the daily forecast for selected towns.
See Appendix 1 for a full description of the fields and values.

### Example 1: Getting a Forecast

Following is an example fetching the forecast for Queensland.


``` r
library(weatherOz)
#> 
#> Attaching package: 'weatherOz'
#> The following object is masked from 'package:graphics':
#> 
#>     plot
#> The following object is masked from 'package:base':
#> 
#>     plot
(QLD_forecast <- get_precis_forecast(state = "QLD"))
#>   -----------  Australian Bureau of Meteorology (BOM) Precis Forecast. -
#>   The HTML version of Short Form (Precis) Forecast for 
#>   QLD can be found at:
#>   <http://www.bom.gov.au/qld/forecasts/state.shtml>
#>   Please note information at the page 
#>   <http://www.bom.gov.au/catalogue/data-feeds.shtml#precis>.
#>   --------------------------------------------------------------------------------  
#>       index product_id  state         town       aac       lat      lon  elev
#>      <fctr>     <char> <char>       <char>    <char>     <num>    <num> <num>
#>   1:      0   IDQ11295    QLD     Brisbane QLD_PT001 -27.48080 153.0389   8.1
#>   2:      1   IDQ11295    QLD     Brisbane QLD_PT001 -27.48080 153.0389   8.1
#>   3:      2   IDQ11295    QLD     Brisbane QLD_PT001 -27.48080 153.0389   8.1
#>   4:      3   IDQ11295    QLD     Brisbane QLD_PT001 -27.48080 153.0389   8.1
#>   5:      4   IDQ11295    QLD     Brisbane QLD_PT001 -27.48080 153.0389   8.1
#>  ---                                                                         
#> 787:      2   IDQ11295    QLD Port Douglas QLD_PT254 -16.48681 145.4635  70.4
#> 788:      3   IDQ11295    QLD Port Douglas QLD_PT254 -16.48681 145.4635  70.4
#> 789:      4   IDQ11295    QLD Port Douglas QLD_PT254 -16.48681 145.4635  70.4
#> 790:      5   IDQ11295    QLD Port Douglas QLD_PT254 -16.48681 145.4635  70.4
#> 791:      6   IDQ11295    QLD Port Douglas QLD_PT254 -16.48681 145.4635  70.4
#>         start_time_local end_time_local utc_offset      start_time_utc
#>                   <POSc>         <POSc>     <fctr>              <POSc>
#>   1: 2026-04-08 09:00:00     2026-04-09      10:00 2026-04-07 23:00:00
#>   2: 2026-04-09 00:00:00     2026-04-10      10:00 2026-04-08 14:00:00
#>   3: 2026-04-10 00:00:00     2026-04-11      10:00 2026-04-09 14:00:00
#>   4: 2026-04-11 00:00:00     2026-04-12      10:00 2026-04-10 14:00:00
#>   5: 2026-04-12 00:00:00     2026-04-13      10:00 2026-04-11 14:00:00
#>  ---                                                                  
#> 787: 2026-04-10 00:00:00     2026-04-11      10:00 2026-04-09 14:00:00
#> 788: 2026-04-11 00:00:00     2026-04-12      10:00 2026-04-10 14:00:00
#> 789: 2026-04-12 00:00:00     2026-04-13      10:00 2026-04-11 14:00:00
#> 790: 2026-04-13 00:00:00     2026-04-14      10:00 2026-04-12 14:00:00
#> 791: 2026-04-14 00:00:00     2026-04-15      10:00 2026-04-13 14:00:00
#>             end_time_utc minimum_temperature maximum_temperature
#>                   <POSc>               <num>               <num>
#>   1: 2026-04-08 14:00:00                  NA                  32
#>   2: 2026-04-09 14:00:00                  20                  30
#>   3: 2026-04-10 14:00:00                  20                  30
#>   4: 2026-04-11 14:00:00                  19                  32
#>   5: 2026-04-12 14:00:00                  20                  32
#>  ---                                                            
#> 787: 2026-04-10 14:00:00                  21                  29
#> 788: 2026-04-11 14:00:00                  21                  29
#> 789: 2026-04-12 14:00:00                  21                  30
#> 790: 2026-04-13 14:00:00                  22                  29
#> 791: 2026-04-14 14:00:00                  23                  28
#>      lower_precipitation_limit upper_precipitation_limit           precis
#>                          <num>                     <num>           <char>
#>   1:                        NA                        NA           Sunny.
#>   2:                        NA                        NA    Mostly sunny.
#>   3:                        NA                        NA   Partly cloudy.
#>   4:                        NA                        NA           Sunny.
#>   5:                        NA                        NA    Mostly sunny.
#>  ---                                                                     
#> 787:                         0                         1 Possible shower.
#> 788:                        NA                        NA   Partly cloudy.
#> 789:                        NA                        NA   Partly cloudy.
#> 790:                         0                        10   Shower or two.
#> 791:                         1                        35         Showers.
#>      probability_of_precipitation
#>                             <num>
#>   1:                            5
#>   2:                            5
#>   3:                            5
#>   4:                            5
#>   5:                           20
#>  ---                             
#> 787:                           40
#> 788:                           20
#> 789:                           20
#> 790:                           60
#> 791:                           80
```

## Using get_coastal_forecast()

This function only takes one argument, `state`.
The `state` parameter allows the user to select the forecast for just one state or a national forecast.
States or territories are specified using the official postal codes or full name with fuzzy matching performed via `agrep()`

- **ACT** - Australian Capital Territory

- **NSW** - New South Wales

- **NT** - Northern Territory

- **QLD** - Queensland

- **SA** - South Australia

- **TAS** - Tasmania

- **VIC** - Victoria

- **WA** - Western Australia

- **AUS** - Australia, returns national forecast including all states, NT and ACT.

### Results

The function, `get_coastal_forecast()`, will return a data frame of the coastal waters forecast for marine zones in each state.
See Appendix 6 for a full description of the fields and values.

### Example 2: Getting a Coastal Forecast

Following is an example fetching the forecast for Queensland.


``` r
library(weatherOz)
(QLD_coastal_forecast <- get_coastal_forecast(state = "QLD"))
#>   -------  Australian Bureau of Meteorology (BOM) Coastal Waters Forecast. -------
#>   Please note information at the foot of
#>   <http://www.bom.gov.au/cgi-bin/wrap_fwo.pl?IDQ11290.html>,
#>   the HTML version of Coastal Waters Forecast for 
#>   QLD.
#>   Also see 
#>   <http://www.bom.gov.au/catalogue/observations/about-coastal-observations.shtml>.
#>   --------------------------------------------------------------------------------  
#>      index product_id   type state_code
#>     <fctr>     <char> <char>     <char>
#>  1:   <NA>   IDQ11290   <NA>        QLD
#>  2:   <NA>   IDQ11290   <NA>        QLD
#>  3:   <NA>   IDQ11290   <NA>        QLD
#>  4:   <NA>   IDQ11290   <NA>        QLD
#>  5:      0   IDQ11290   <NA>        QLD
#> ---                                    
#> 45:      1   IDQ11290   <NA>        QLD
#> 46:      2   IDQ11290   <NA>        QLD
#> 47:      0   IDQ11290   <NA>        QLD
#> 48:      1   IDQ11290   <NA>        QLD
#> 49:      2   IDQ11290   <NA>        QLD
#>                                                          dist_name pt_1_name
#>                                                             <char>    <char>
#>  1:                                                     Queensland      <NA>
#>  2:                                 Queensland Gulf of Carpentaria      <NA>
#>  3:                                               North Queensland      <NA>
#>  4:                                               South Queensland      <NA>
#>  5: South East Gulf of Carpentaria: QLD-NT Border to Cape Keerweer      <NA>
#> ---                                                                         
#> 45:                Gold Coast Waters: Cape Moreton to Point Danger      <NA>
#> 46:                Gold Coast Waters: Cape Moreton to Point Danger      <NA>
#> 47:                             Great Barrier Reef Offshore Waters      <NA>
#> 48:                             Great Barrier Reef Offshore Waters      <NA>
#> 49:                             Great Barrier Reef Offshore Waters      <NA>
#>     pt_2_name       aac    start_time_local      end_time_local utc_offset
#>        <char>    <char>              <POSc>              <POSc>     <fctr>
#>  1:      <NA> QLD_FA001 2026-04-08 09:21:48 2026-04-08 09:21:48      10:00
#>  2:      <NA> QLD_FA002 2026-04-08 05:00:00 2026-04-08 05:00:00      10:00
#>  3:      <NA> QLD_FA003 2026-04-08 05:00:00 2026-04-08 05:00:00      10:00
#>  4:      <NA> QLD_FA004 2026-04-08 05:00:00 2026-04-08 05:00:00      10:00
#>  5:      <NA> QLD_MW001 2026-04-08 09:00:00 2026-04-08 09:00:00      10:00
#> ---                                                                       
#> 45:      <NA> QLD_MW014 2026-04-09 00:00:00 2026-04-09 00:00:00      10:00
#> 46:      <NA> QLD_MW014 2026-04-10 00:00:00 2026-04-10 00:00:00      10:00
#> 47:      <NA> QLD_MW015 2026-04-08 09:00:00 2026-04-08 09:00:00      10:00
#> 48:      <NA> QLD_MW015 2026-04-09 00:00:00 2026-04-09 00:00:00      10:00
#> 49:      <NA> QLD_MW015 2026-04-10 00:00:00 2026-04-10 00:00:00      10:00
#>          start_time_utc        end_time_utc
#>                  <POSc>              <POSc>
#>  1: 2026-04-08 09:21:48 2026-04-08 09:21:48
#>  2: 2026-04-08 05:00:00 2026-04-08 05:00:00
#>  3: 2026-04-08 05:00:00 2026-04-08 05:00:00
#>  4: 2026-04-08 05:00:00 2026-04-08 05:00:00
#>  5: 2026-04-08 09:00:00 2026-04-08 09:00:00
#> ---                                        
#> 45: 2026-04-09 00:00:00 2026-04-09 00:00:00
#> 46: 2026-04-10 00:00:00 2026-04-10 00:00:00
#> 47: 2026-04-08 09:00:00 2026-04-08 09:00:00
#> 48: 2026-04-09 00:00:00 2026-04-09 00:00:00
#> 49: 2026-04-10 00:00:00 2026-04-10 00:00:00
#>                                                         forecast_seas
#>                                                                <char>
#>  1:                                                              <NA>
#>  2:                                                              <NA>
#>  3:                                                              <NA>
#>  4:                                                              <NA>
#>  5:                                                    Below 1 metre.
#> ---                                                                  
#> 45:                                                    Below 1 metre.
#> 46:                                                    Below 1 metre.
#> 47: 1 to 1.5 metres, increasing to 1 to 2 metres north of Creal Reef.
#> 48: 1 to 1.5 metres, increasing to 1 to 2 metres north of Creal Reef.
#> 49:                                                  1 to 1.5 metres.
#>     forecast_weather
#>               <char>
#>  1:             <NA>
#>  2:             <NA>
#>  3:             <NA>
#>  4:             <NA>
#>  5:           Sunny.
#> ---                 
#> 45:    Mostly sunny.
#> 46:    Mostly sunny.
#> 47:    Mostly sunny.
#> 48:   Partly cloudy.
#> 49:   Partly cloudy.
#>                                                                                                                                                     forecast_winds
#>                                                                                                                                                             <char>
#>  1:                                                                                                                                                           <NA>
#>  2:                                                                                                                                                           <NA>
#>  3:                                                                                                                                                           <NA>
#>  4:                                                                                                                                                           <NA>
#>  5:                                                                          East to southeasterly 10 to 15 knots becoming variable about 10 knots in the evening.
#> ---                                                                                                                                                               
#> 45: North to northeasterly 10 to 15 knots becoming variable about 10 knots in the early morning then becoming northeasterly 10 to 15 knots in the early afternoon.
#> 46:                                                                                             Northeasterly 10 to 15 knots turning northerly during the evening.
#> 47:                                                    Southeasterly 15 to 20 knots, reaching up to 25 knots north of Creal Reef during the afternoon and evening.
#> 48:                                                                                                                                  Southeasterly 15 to 25 knots.
#> 49:                                                                                                                                  Southeasterly 15 to 20 knots.
#>                                                                           forecast_swell1
#>                                                                                    <char>
#>  1:                                                                                  <NA>
#>  2:                                                                                  <NA>
#>  3:                                                                                  <NA>
#>  4:                                                                                  <NA>
#>  5:                                                                     Below 0.5 metres.
#> ---                                                                                      
#> 45:              Easterly around 1 metre inshore, increasing to 1 to 1.5 metres offshore.
#> 46:           Easterly 1 to 1.5 metres, increasing to 1.5 to 2 metres during the morning.
#> 47: Easterly around 1 metre, increasing to 1 to 1.5 metres through the Capricorn Channel.
#> 48:                                                             Easterly 1 to 1.5 metres.
#> 49:       Easterly 1 to 2 metres, tending northeasterly 1 to 2 metres during the evening.
#>     forecast_swell2 forecast_caution marine_forecast tropical_system_location
#>              <char>           <char>          <char>                   <lgcl>
#>  1:            <NA>             <NA>            <NA>                       NA
#>  2:            <NA>             <NA>            <NA>                       NA
#>  3:            <NA>             <NA>            <NA>                       NA
#>  4:            <NA>             <NA>            <NA>                       NA
#>  5:            <NA>             <NA>            <NA>                       NA
#> ---                                                                          
#> 45:            <NA>             <NA>            <NA>                       NA
#> 46:            <NA>             <NA>            <NA>                       NA
#> 47:            <NA>             <NA>            <NA>                       NA
#> 48:            <NA>             <NA>            <NA>                       NA
#> 49:            <NA>             <NA>            <NA>                       NA
#>     forecast_waves
#>             <lgcl>
#>  1:             NA
#>  2:             NA
#>  3:             NA
#>  4:             NA
#>  5:             NA
#> ---               
#> 45:             NA
#> 46:             NA
#> 47:             NA
#> 48:             NA
#> 49:             NA
```
## Working with BOM Image Files

A second family of functions retrieve information pertaining to satellite and radar imagery.

 * `get_available_imagery()`, which returns available satellite imagery;
 * `get_satelllite_imagery()` which returns a [terra::SpatRaster] or [stars] object as requested;
 * `get_available_radar()`, which returns available radar images; and
 * `get_radar_imagery()` which returns radar images as a [magick] object.

### Using {weatherOz} to retrieve BOM satellite imagery

{weatherOz} provides functionality to retrieve high-definition GeoTIFF satellite imagery provided by BOM through public FTP with the following types of imagery being available: i.) [Infrared images](https://www.bom.gov.au/resources/learn-and-explore/radar-and-equipment-knowledge-centre), ii.)
[Visible images](https://www.bom.gov.au/resources/learn-and-explore/radar-and-equipment-knowledge-centre) and iii.) [Clouds/surface composite](https://www.bom.gov.au/resources/learn-and-explore/radar-and-equipment-knowledge-centre).

#### Working with Satellite Imagery

Valid BOM satellite Product IDs for GeoTIFF files include:

<table>
<tr><th>Product ID</th><th>Description</th><th>Type</th><th>Delete time</th></tr>
<tr><td>IDE00420</td><td>AHI cloud cover only 2km FD GEOS </td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00421</td><td>AHI IR (Ch13) greyscale 2km FD GEOS </td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00422</td><td>AHI VIS (Ch3) greyscale 2km FD GEOS </td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00423</td><td>AHI IR (Ch13) Zehr 2km FD GEOS </td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00425</td><td>AHI VIS (true colour) / IR (Ch13 greyscale) composite 1km FD GEOS </td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00426</td><td>AHI VIS (true colour) / IR (Ch13 greyscale) composite 2km FD GEOS </td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00427</td><td>AHI WV (Ch8) 2km FD GEOS </td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00430</td><td>AHI cloud cover only 2km AUS equirect.</td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00431</td><td>AHI IR (Ch13) greyscale 2km AUS equirect.</td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00432</td><td>AHI VIS (Ch3) greyscale 2km AUS equirect.</td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00433</td><td>AHI IR (Ch13) Zehr 2km AUS equirect.</td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00435</td><td>AHI VIS (true colour) / IR (Ch13 greyscale) composite 1km AUS equirect. </td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00436</td><td>AHI VIS (true colour) / IR (Ch13 greyscale) composite 2km AUS equirect. </td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00437</td><td>AHI WV (Ch8) 2km AUS equirect.</td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td>IDE00439</td><td>AHI VIS (Ch3) greyscale 0.5km AUS equirect.</td><td>Satellite</td><td style= "text-align: center;">24</td></tr>
<tr><td colspan = 3><strong>Information gathered from Australian Bureau of Meteorology (BOM)</strong></td></tr>
</table>

#### Using get_available_imagery()

`get_available_imagery()` only takes one argument, `product_id`, a BOM identifier for the imagery that you wish to check for available imagery.
Using this function will fetch a listing of BOM GeoTIFF satellite imagery from [ftp://ftp.bom.gov.au/anon/gen/gms/](ftp://ftp.bom.gov.au/anon/gen/gms/) to display which files are currently available for download.
These files are available at ten minute update frequency with a 24 hour delete time.
This function can be used see the most recent files available and then specify in the `_imagery()` function.
If no valid Product ID is supplied, defaults to all GeoTIFF images currently available.

#### Example 3: Checking Available Imagery


``` r
library(weatherOz)

(avail <- get_available_imagery(product_id = "IDE00425"))
#>   [1] "IDE00425.202604070010.tif" "IDE00425.202604070020.tif"
#>   [3] "IDE00425.202604070030.tif" "IDE00425.202604070040.tif"
#>   [5] "IDE00425.202604070050.tif" "IDE00425.202604070100.tif"
#>   [7] "IDE00425.202604070110.tif" "IDE00425.202604070120.tif"
#>   [9] "IDE00425.202604070130.tif" "IDE00425.202604070140.tif"
#>  [11] "IDE00425.202604070150.tif" "IDE00425.202604070200.tif"
#>  [13] "IDE00425.202604070210.tif" "IDE00425.202604070220.tif"
#>  [15] "IDE00425.202604070230.tif" "IDE00425.202604070250.tif"
#>  [17] "IDE00425.202604070300.tif" "IDE00425.202604070310.tif"
#>  [19] "IDE00425.202604070320.tif" "IDE00425.202604070330.tif"
#>  [21] "IDE00425.202604070340.tif" "IDE00425.202604070350.tif"
#>  [23] "IDE00425.202604070400.tif" "IDE00425.202604070410.tif"
#>  [25] "IDE00425.202604070420.tif" "IDE00425.202604070430.tif"
#>  [27] "IDE00425.202604070440.tif" "IDE00425.202604070450.tif"
#>  [29] "IDE00425.202604070500.tif" "IDE00425.202604070510.tif"
#>  [31] "IDE00425.202604070520.tif" "IDE00425.202604070530.tif"
#>  [33] "IDE00425.202604070540.tif" "IDE00425.202604070550.tif"
#>  [35] "IDE00425.202604070600.tif" "IDE00425.202604070610.tif"
#>  [37] "IDE00425.202604070620.tif" "IDE00425.202604070630.tif"
#>  [39] "IDE00425.202604070640.tif" "IDE00425.202604070650.tif"
#>  [41] "IDE00425.202604070700.tif" "IDE00425.202604070710.tif"
#>  [43] "IDE00425.202604070720.tif" "IDE00425.202604070730.tif"
#>  [45] "IDE00425.202604070740.tif" "IDE00425.202604070750.tif"
#>  [47] "IDE00425.202604070800.tif" "IDE00425.202604070810.tif"
#>  [49] "IDE00425.202604070820.tif" "IDE00425.202604070830.tif"
#>  [51] "IDE00425.202604070840.tif" "IDE00425.202604070850.tif"
#>  [53] "IDE00425.202604070900.tif" "IDE00425.202604070910.tif"
#>  [55] "IDE00425.202604070920.tif" "IDE00425.202604070930.tif"
#>  [57] "IDE00425.202604070940.tif" "IDE00425.202604070950.tif"
#>  [59] "IDE00425.202604071000.tif" "IDE00425.202604071010.tif"
#>  [61] "IDE00425.202604071020.tif" "IDE00425.202604071030.tif"
#>  [63] "IDE00425.202604071040.tif" "IDE00425.202604071050.tif"
#>  [65] "IDE00425.202604071100.tif" "IDE00425.202604071110.tif"
#>  [67] "IDE00425.202604071120.tif" "IDE00425.202604071130.tif"
#>  [69] "IDE00425.202604071140.tif" "IDE00425.202604071150.tif"
#>  [71] "IDE00425.202604071200.tif" "IDE00425.202604071210.tif"
#>  [73] "IDE00425.202604071220.tif" "IDE00425.202604071230.tif"
#>  [75] "IDE00425.202604071240.tif" "IDE00425.202604071250.tif"
#>  [77] "IDE00425.202604071300.tif" "IDE00425.202604071310.tif"
#>  [79] "IDE00425.202604071320.tif" "IDE00425.202604071330.tif"
#>  [81] "IDE00425.202604071340.tif" "IDE00425.202604071350.tif"
#>  [83] "IDE00425.202604071400.tif" "IDE00425.202604071410.tif"
#>  [85] "IDE00425.202604071420.tif" "IDE00425.202604071430.tif"
#>  [87] "IDE00425.202604071450.tif" "IDE00425.202604071500.tif"
#>  [89] "IDE00425.202604071510.tif" "IDE00425.202604071520.tif"
#>  [91] "IDE00425.202604071530.tif" "IDE00425.202604071540.tif"
#>  [93] "IDE00425.202604071550.tif" "IDE00425.202604071600.tif"
#>  [95] "IDE00425.202604071610.tif" "IDE00425.202604071620.tif"
#>  [97] "IDE00425.202604071630.tif" "IDE00425.202604071640.tif"
#>  [99] "IDE00425.202604071650.tif" "IDE00425.202604071700.tif"
#> [101] "IDE00425.202604071710.tif" "IDE00425.202604071720.tif"
#> [103] "IDE00425.202604071730.tif" "IDE00425.202604071740.tif"
#> [105] "IDE00425.202604071750.tif" "IDE00425.202604071800.tif"
#> [107] "IDE00425.202604071810.tif" "IDE00425.202604071820.tif"
#> [109] "IDE00425.202604071830.tif" "IDE00425.202604071840.tif"
#> [111] "IDE00425.202604071850.tif" "IDE00425.202604071900.tif"
#> [113] "IDE00425.202604071910.tif" "IDE00425.202604071920.tif"
#> [115] "IDE00425.202604071930.tif" "IDE00425.202604071940.tif"
#> [117] "IDE00425.202604071950.tif" "IDE00425.202604072000.tif"
#> [119] "IDE00425.202604072010.tif" "IDE00425.202604072020.tif"
#> [121] "IDE00425.202604072030.tif" "IDE00425.202604072050.tif"
#> [123] "IDE00425.202604072100.tif" "IDE00425.202604072110.tif"
#> [125] "IDE00425.202604072120.tif" "IDE00425.202604072130.tif"
#> [127] "IDE00425.202604072140.tif" "IDE00425.202604072150.tif"
#> [129] "IDE00425.202604072200.tif" "IDE00425.202604072210.tif"
#> [131] "IDE00425.202604072220.tif" "IDE00425.202604072230.tif"
#> [133] "IDE00425.202604072240.tif" "IDE00425.202604072250.tif"
#> [135] "IDE00425.202604072300.tif" "IDE00425.202604072310.tif"
#> [137] "IDE00425.202604072320.tif" "IDE00425.202604072330.tif"
#> [139] "IDE00425.202604072340.tif" "IDE00425.202604072350.tif"
#> [141] "IDE00425.202604080000.tif" "IDE00425.202604080010.tif"
#> [143] "IDE00425.202604080020.tif" "IDE00425.202604080030.tif"
```

#### Using get_satellite_imagery()

`get_satellite_imagery()` fetches BOM satellite GeoTIFF imagery, returning a SpatRaster object and takes two arguments.
Files are available at ten minute update frequency with a 24 hour delete time.
It is suggested to check file availability first by using `get_available_imagery()`.
The arguments are:

* `product_id`, a character value of the BOM product ID to download.
Alternatively, a vector of values from `get_available_imagery()` may be used here.
This argument is mandatory.

* `scans` a numeric value for the number of scans to download, starting with the most recent and progressing backwards, *e.g.*, `1` - the most recent single scan available , `6` - the most recent hour available, `12` - the most recent 2 hours available, etc.
Negating will return the oldest files first.
Defaults to 1.
This argument is optional.

#### Example 6: Fetching Satellite Imagery and Viewing It


``` r
library(weatherOz)

# Specify product ID and scans
i <- get_satellite_imagery(product_id = "IDE00425", scans = 1)
```

`terra::plot()` has been re-exported to simplify visualising these files while using {weatherOz}.


``` r
plot(i)
```

### Using {weatherOz} With BOM Radar Imagery

{weatherOz} provides functionality to retrieve the latest radar imagery provided by BOM through a public FTP server.
These are the latest snapshots for each radar locations at various radar ranges _e.g._, 512km, 256km, 128km and 64km for some stations.

#### Using get_available_radar()

`get_available_radar()` fetches the available radar imagery from the BOM FTP and returns a data frame for reference.
This data frame contains the product_id, which is required when using the `get_radar_imagery()` function.
The files available are the latest `.png` files of BOM radar imagery which are typically updated each 6-10 minutes. Only the most recent image is retrieved for each radar location.
There are usually several radar ranges available for each radar location, such as 512km, 256km, 128km and possibly 64km.
The arguments are:

* `radar_id`  which is the BOM radar ID number; this defaults to 'all' which will return a data frame of all radar IDs in Australia.

#### Example 7: Getting Available Radar Imagery


``` r
library(weatherOz)
x <- get_available_radar()
head(x)
#>    product_id LocationID  range     Name Longitude Latitude Radar_id
#>        <char>     <char> <char>   <fctr>     <num>    <num>    <int>
#> 1:     IDR641         64  512km Adelaide  138.4689 -34.6169       64
#> 2:     IDR642         64  256km Adelaide  138.4689 -34.6169       64
#> 3:     IDR643         64  128km Adelaide  138.4689 -34.6169       64
#> 4:     IDR644         64   64km Adelaide  138.4689 -34.6169       64
#> 5:     IDR311         31  512km   Albany  117.8163 -34.9418       31
#> 6:     IDR312         31  256km   Albany  117.8163 -34.9418       31
#>                   Full_Name IDRnn0name IDRnn1name  State    Type Group_ Status
#>                      <fctr>     <fctr>     <fctr> <fctr>  <fctr> <fctr> <fctr>
#> 1: Adelaide (Buckland Park)     BuckPk BucklandPk     SA Doppler    Yes Public
#> 2: Adelaide (Buckland Park)     BuckPk BucklandPk     SA Doppler    Yes Public
#> 3: Adelaide (Buckland Park)     BuckPk BucklandPk     SA Doppler    Yes Public
#> 4: Adelaide (Buckland Park)     BuckPk BucklandPk     SA Doppler    Yes Public
#> 5:                   Albany     Albany     Albany     WA Doppler    Yes Public
#> 6:                   Albany     Albany     Albany     WA Doppler    Yes Public
#>    Archive  as.is
#>     <fctr> <lgcl>
#> 1:  BuckPk   TRUE
#> 2:  BuckPk   TRUE
#> 3:  BuckPk   TRUE
#> 4:  BuckPk   TRUE
#> 5:  Albany   TRUE
#> 6:  Albany   TRUE
```

#### Using get_radar_imagery()

`get_radar_imagery()` fetches the latest BOM radar imagery for a given product ID.
The files available are the latest `.png` files of BOM radar imagery, which are typically updated each 6-10 minutes.
Only the most recent image is retrieved for each radar location.
There are usually several radar ranges available for each radar location, such as 512km, 256km, 128km and possibly 64km.
The only argument is:

* `product_id` the BOM product_id associated with each radar imagery file.
These can be obtained from the `get_available_radar()` function.
This value must be specified and the function will accept only one at a time.

#### Example 8: Fetching Radar Imagery


``` r
library(weatherOz)

y <- get_radar_imagery(product_id = "IDR032")
plot(y)
```

## References

[Australian Bureau of Meteorology (BOM) Weather Data Services](https://www.bom.gov.au/catalogue/data-feeds.shtml)

[Australian Bureau of Meteorology (BOM) FTP Public Products](https://www.bom.gov.au/catalogue/anon-ftp.shtml)

[Australian Bureau of Meteorology (BOM) Weather Data Services Observation of Rainfall](https://www.bom.gov.au/climate/how/observations/rain-measure.shtml)

[Australian Bureau of Meteorology (BOM) High-definition satellite images](https://www.bom.gov.au/australia/satellite/index.shtml)

## Appendix 1 - Output From get_precis_forecast()

The functions, `get_precis_forecast()` or `parse_precis_forecast(), will return a data frame of the 7 day short forecast with the following fields:

<dl>
<dt>index</dt><dd>Forecast index number, 0 = current day ... 7 day</dd>
<dt>product_id</dt><dd>BOM Product ID from which the data are derived</dd>
<dt>state</dt><dd>State name (postal code abbreviation)</dd>
<dt>town</dt><dd>Town name for forecast location</dd>
<dt>aac</dt><dd>AMOC Area Code, _e.g._, WA_MW008, a unique identifier for each location</dd>
<dt>lat</dt><dd>Latitude of named location (decimal degrees)</dd>
<dt>lon</dt><dd>Longitude of named location (decimal degrees)</dd>
<dt>elev</dt><dd>Elevation of named location (metres)</dd>
<dt>start_time_local</dt><dd>Start of forecast date and time in local TZ</dd>
<dt>end_time_local</dt><dd>End of forecast date and time in local TZ</dd>
<dt>UTC_offset</dt><dd> Hours offset from difference in hours and minutes from Coordinated Universal Time (UTC) for `start_time_local` and `end_time_local`</dd>
<dt>start_time_utc</dt><dd>Start of forecast date and time in UTC</dd>
<dt>end_time_utc</dt><dd>End of forecast date and time in UTC</dd>
<dt>maximum_temperature</dt><dd>Maximum forecast temperature (degrees Celsius)</dd>
<dt>minimum_temperature</dt><dd>Minimum forecast temperature (degrees Celsius)</dd>
<dt>lower_precipitation_limit</dt><dd>Lower forecast precipitation limit (millimetres)</dd>
<dt>upper_precipitation_limit</dt><dd>Upper forecast precipitation limit (millimetres)</dd>
<dt>precis</dt><dd>Précis forecast (a short summary, less than 30 characters)</dd>
<dt>probability_of_precipitation</dt><dd>Probability of precipitation (percent)</dd>
</dl>

## Appendix 2 - Output From get_coastal_forecast()

The output of `get_coastal_forecast()` or `parse_coastal_forecast()` will return a data frame with coastal waters forecast values of each area within the given state with the following fields:

<dl>
<dt>index</dt><dd>Forecast index number.  0 = current day</dd>
<dt>product_id</dt><dd>BOM Product ID from which the data are derived</dd>
<dt>type</dt><dd>Forecast Region type e.g. Coastal</dd>
<dt>state_code</dt><dd>State name (postal code abbreviation)</dd>
<dt>dist_name</dt><dd>Name of forecast district</dd>
<dt>pt_1_name</dt><dd>Start of forecast district</dd>
<dt>pt_2_name</dt><dd>End of forecast district</dd>
<dt>aac</dt><dd>AMOC Area Code, _e.g._, WA_MW008, a unique identifier for each location</dd>
<dt>start_time_local</dt><dd>Start of forecast date and time in local TZ</dd>
<dt>end_time_local</dt><dd>End of forecast date and time in local TZ</dt>
<dt>UTC_offset</dt><dd>Hours offset from difference in hours and minutes from Coordinated Universal Time (UTC) for `start_time_local` and `end_time_local`</dd>
<dt>start_time_utc</dt><dd>Start of forecast date and time in UTC</dd>
<dt>end_time_utc</dt><dd>End of forecast date and time in UTC</dd>
<dt>forecast_seas</dt><dd>Forecast sea conditions</dd>
<dt>forecast_weather</dt><dd>Forecast weather summary</dd>
<dt>forecast_winds</dt><dd>Forecast winds summary</dd>
<dt>forecast_swell1</dt><dd>Forecast primary swell summary</dd>
<dt>forecast_swell2</dt><dd>Forecast seondary swell summary (not always provided)</dd>
<dt>forecast_caution</dt><dd>Forecast caution issued (not always provided)</dd>
<dt>marine_forecast</dt><dd>Additional marine forecast warning information (not always provided)</dd>
</dl>