add more weather data package resources

ropensci · Jul 28, 2024 · 4fbd504 · 4fbd504
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diff --git a/README.Rmd b/README.Rmd
@@ -87,20 +87,30 @@ tbar
 There are several other sources of weather data and ways of retrieving them through R.
 Several are also [rOpenSci](https://ropensci.org) projects.
 
-The [{GSODTools}](https://github.com/environmentalinformatics-marburg/GSODTools) by [Florian Detsch](https://github.com/fdetsch) is an R package that offers similar functionality as {GSODR}, but also has the ability to graph the data and working with data for time series analysis.
+[{clifro}](https://CRAN.R-project.org/package=clifro) from [rOpenSci](https://docs.ropensci.org/clifro/) is a web portal to the New Zealand National Climate Database and provides public access (via subscription) to around 6,500 various climate stations (see <https://cliflo.niwa.co.nz/> for more information).
+Collating and manipulating data from CliFlo (hence clifro) and importing into R for further analysis, exploration and visualisation is now straightforward and coherent.
+The user is required to have an Internet connection, and a current CliFlo subscription (free) if data from stations, other than the public Reefton electronic weather station, is sought.
+
+[{GSODTools}](https://github.com/environmentalinformatics-marburg/GSODTools) by [Florian Detsch](https://github.com/fdetsch) is an R package that offers similar functionality as {GSODR}, but also has the ability to graph the data and working with data for time series analysis.
+
+[{nasapower}](https://CRAN.R-project.org/package=nasapower) from [rOpenSci](https://docs.ropensci.org/nasapower/) aims to make it quick and easy to automate downloading of the NASA-POWER global meteorology, surface solar energy and climatology data in your R session as a tidy `tibble` object for analysis and use in modelling or other purposes.
+POWER (Prediction Of Worldwide Energy Resource) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community.
+
+[{riem}](https://CRAN.R-project.org/package=riem) from [rOpenSci](https://docs.ropensci.org/riem/) allows to get weather data from Automated Surface Observing System (ASOS) stations (airports) in the whole world thanks to the Iowa Environment Mesonet website.
 
 [{rnoaa}](https://CRAN.R-project.org/package=rnoaa), from [rOpenSci](https://docs.ropensci.org/rnoaa/) offers tools for interacting with and downloading weather data from the United States National Oceanic and Atmospheric Administration but lacks support for GSOD data.
 
 [{stationaRy}](https://cran.r-project.org/package=stationaRy), from Richard Iannone offers hourly meteorological data from stations located all over the world.
 There is a wealth of data available, with historic weather data accessible from nearly 30,000 stations.
 
-[{riem}](https://CRAN.R-project.org/package=riem) from [rOpenSci](https://docs.ropensci.org/riem/) allows to get weather data from Automated Surface Observing System (ASOS) stations (airports) in the whole world thanks to the Iowa Environment Mesonet website.
-
 [{weathercan}](https://CRAN.R-project.org/package=weathercan) from [rOpenSci](https://github.com/ropensci/weathercan) makes it easier to search for and download multiple months/years of historical weather data from Environment and Climate Change Canada (ECCC) website.
 
-[{clifro}](https://CRAN.R-project.org/package=clifro) from [rOpenSci](https://docs.ropensci.org/clifro/) is a web portal to the New Zealand National Climate Database and provides public access (via subscription) to around 6,500 various climate stations (see <https://cliflo.niwa.co.nz/> for more information).
-Collating and manipulating data from CliFlo (hence clifro) and importing into R for further analysis, exploration and visualisation is now straightforward and coherent.
-The user is required to have an Internet connection, and a current CliFlo subscription (free) if data from stations, other than the public Reefton electronic weather station, is sought.
+{weatherOz}](https://CRAN.R-project.org/package=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.
+
+[{worldmet}](https://CRAN.R-project.org/package=worldmet) provides an easy way to access data from the NOAA Integrated Surface Database (ISD) (the same database {GSODR} provides access to.
+The ISD contains detailed surface meteorological data from around the world for over 35,000 locations.
+However, rather than daily values, the package outputs (typically hourly meteorological data) and works very well with the [{openair}](https://CRAN.R-project.org/package=openair) package.
 
 ## Notes
 

diff --git a/README.md b/README.md
@@ -120,17 +120,17 @@ tbar
 #> 362: 955510-99999 TOOWOOMBA AIRPORT     AS    AUSTRALIA     AU    AUS       
 #>      LATITUDE LONGITUDE ELEVATION    BEGIN      END   YEARMODA  YEAR MONTH
 #>         <num>     <num>     <num>    <int>    <int>     <Date> <int> <int>
-#>   1:   -27.55   151.917       642 19980301 20240324 2021-01-01  2021     1
-#>   2:   -27.55   151.917       642 19980301 20240324 2021-01-02  2021     1
-#>   3:   -27.55   151.917       642 19980301 20240324 2021-01-03  2021     1
-#>   4:   -27.55   151.917       642 19980301 20240324 2021-01-04  2021     1
-#>   5:   -27.55   151.917       642 19980301 20240324 2021-01-05  2021     1
+#>   1:   -27.55   151.917       642 19980301 20240718 2021-01-01  2021     1
+#>   2:   -27.55   151.917       642 19980301 20240718 2021-01-02  2021     1
+#>   3:   -27.55   151.917       642 19980301 20240718 2021-01-03  2021     1
+#>   4:   -27.55   151.917       642 19980301 20240718 2021-01-04  2021     1
+#>   5:   -27.55   151.917       642 19980301 20240718 2021-01-05  2021     1
 #>  ---                                                                      
-#> 358:   -27.55   151.917       642 19980301 20240324 2021-12-27  2021    12
-#> 359:   -27.55   151.917       642 19980301 20240324 2021-12-28  2021    12
-#> 360:   -27.55   151.917       642 19980301 20240324 2021-12-29  2021    12
-#> 361:   -27.55   151.917       642 19980301 20240324 2021-12-30  2021    12
-#> 362:   -27.55   151.917       642 19980301 20240324 2021-12-31  2021    12
+#> 358:   -27.55   151.917       642 19980301 20240718 2021-12-27  2021    12
+#> 359:   -27.55   151.917       642 19980301 20240718 2021-12-28  2021    12
+#> 360:   -27.55   151.917       642 19980301 20240718 2021-12-29  2021    12
+#> 361:   -27.55   151.917       642 19980301 20240718 2021-12-30  2021    12
+#> 362:   -27.55   151.917       642 19980301 20240718 2021-12-31  2021    12
 #>        DAY  YDAY  TEMP TEMP_ATTRIBUTES  DEWP DEWP_ATTRIBUTES    SLP
 #>      <int> <int> <num>           <int> <num>           <int>  <num>
 #>   1:     1     1  20.9              16  18.1              15 1011.5
@@ -181,8 +181,8 @@ tbar
 #> 358:  0.00               I    NA     0              0          0      0
 #> 359:  0.00               I    NA     0              0          0      0
 #> 360:  0.00               I    NA     0              0          0      0
-#> 361:  0.25               G    NA     1              0          0      0
-#> 362:  7.11               G    NA     1              0          0      0
+#> 361:  0.25               G    NA     0              1          0      0
+#> 362:  7.11               G    NA     0              1          0      0
 #>      I_THUNDER I_TORNADO_FUNNEL    EA    ES    RH
 #>          <num>            <num> <num> <num> <num>
 #>   1:         0                0   2.1   2.5  84.0
@@ -194,8 +194,8 @@ tbar
 #> 358:         0                0   1.8   2.4  76.4
 #> 359:         0                0   1.5   1.9  79.3
 #> 360:         0                0   1.6   2.1  75.5
-#> 361:         0               NA   1.5   2.1  73.1
-#> 362:         0               NA   1.9   2.1  91.6
+#> 361:         0                0   1.5   2.1  73.1
+#> 362:         0                0   1.9   2.1  91.6
 ```
 
 ## Other Sources of Weather Data in R
@@ -204,12 +204,37 @@ There are several other sources of weather data and ways of retrieving
 them through R. Several are also [rOpenSci](https://ropensci.org)
 projects.
 
-The
+[{clifro}](https://CRAN.R-project.org/package=clifro) from
+[rOpenSci](https://docs.ropensci.org/clifro/) is a web portal to the New
+Zealand National Climate Database and provides public access (via
+subscription) to around 6,500 various climate stations (see
+<https://cliflo.niwa.co.nz/> for more information). Collating and
+manipulating data from CliFlo (hence clifro) and importing into R for
+further analysis, exploration and visualisation is now straightforward
+and coherent. The user is required to have an Internet connection, and a
+current CliFlo subscription (free) if data from stations, other than the
+public Reefton electronic weather station, is sought.
+
 [{GSODTools}](https://github.com/environmentalinformatics-marburg/GSODTools)
 by [Florian Detsch](https://github.com/fdetsch) is an R package that
 offers similar functionality as {GSODR}, but also has the ability to
 graph the data and working with data for time series analysis.
 
+[{nasapower}](https://CRAN.R-project.org/package=nasapower) from
+[rOpenSci](https://docs.ropensci.org/nasapower/) aims to make it quick
+and easy to automate downloading of the NASA-POWER global meteorology,
+surface solar energy and climatology data in your R session as a tidy
+`tibble` object for analysis and use in modelling or other purposes.
+POWER (Prediction Of Worldwide Energy Resource) data are freely
+available for download with varying spatial resolutions dependent on the
+original data and with several temporal resolutions depending on the
+POWER parameter and community.
+
+[{riem}](https://CRAN.R-project.org/package=riem) from
+[rOpenSci](https://docs.ropensci.org/riem/) allows to get weather data
+from Automated Surface Observing System (ASOS) stations (airports) in
+the whole world thanks to the Iowa Environment Mesonet website.
+
 [{rnoaa}](https://CRAN.R-project.org/package=rnoaa), from
 [rOpenSci](https://docs.ropensci.org/rnoaa/) offers tools for
 interacting with and downloading weather data from the United States
@@ -221,26 +246,26 @@ Richard Iannone offers hourly meteorological data from stations located
 all over the world. There is a wealth of data available, with historic
 weather data accessible from nearly 30,000 stations.
 
-[{riem}](https://CRAN.R-project.org/package=riem) from
-[rOpenSci](https://docs.ropensci.org/riem/) allows to get weather data
-from Automated Surface Observing System (ASOS) stations (airports) in
-the whole world thanks to the Iowa Environment Mesonet website.
-
 [{weathercan}](https://CRAN.R-project.org/package=weathercan) from
 [rOpenSci](https://github.com/ropensci/weathercan) makes it easier to
 search for and download multiple months/years of historical weather data
 from Environment and Climate Change Canada (ECCC) website.
 
-[{clifro}](https://CRAN.R-project.org/package=clifro) from
-[rOpenSci](https://docs.ropensci.org/clifro/) is a web portal to the New
-Zealand National Climate Database and provides public access (via
-subscription) to around 6,500 various climate stations (see
-<https://cliflo.niwa.co.nz/> for more information). Collating and
-manipulating data from CliFlo (hence clifro) and importing into R for
-further analysis, exploration and visualisation is now straightforward
-and coherent. The user is required to have an Internet connection, and a
-current CliFlo subscription (free) if data from stations, other than the
-public Reefton electronic weather station, is sought.
+{weatherOz}\](<https://CRAN.R-project.org/package=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.
+
+[{worldmet}](https://CRAN.R-project.org/package=worldmet) provides an
+easy way to access data from the NOAA Integrated Surface Database (ISD)
+(the same database {GSODR} provides access to. The ISD contains detailed
+surface meteorological data from around the world for over 35,000
+locations. However, rather than daily values, the package outputs
+(typically hourly meteorological data) and works very well with the
+[{openair}](https://CRAN.R-project.org/package=openair) package.
 
 ## Notes