Description Usage Arguments Details Value Note Author(s) References See Also Examples
View source: R/wind_functions2.R
wind.dl downloads wind data from the Global Forecast System (GFS) of the USA's National Weather Service (NWS) (https://www.ncei.noaa.gov/products/weather-climate-models/global-forecast). Wind data are taken from NOAA/NCEP Global Forecast System (GFS) Atmospheric Model collection. Geospatial resolution is 0.5 degrees (approximately 50 km), and wind is calculated for Earth surface, at 10 m. More metadata information: https://pae-paha.pacioos.hawaii.edu/erddap/griddap/ncep_global.graph
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | wind.dl(
yyyy,
mm,
dd,
tt,
lon1,
lon2,
lat1,
lat2,
type = "read-data",
trace = 1
)
read.rWind(file)
|
yyyy |
Selected year. |
mm |
Selected month. |
dd |
Selected day. |
tt |
Selected time. There are currently several options at the GFS database: 00:00 - 03:00 - 06:00 - 09:00 - 12:00 - 15:00 - 18:00 - 21:00 (UTC). |
lon1 |
Western longitude |
lon2 |
Eastern longitude |
lat1 |
Southern latitude |
lat2 |
Northern latitude |
type |
Output type. "read-data" is selected by default, creating an R object. If you choose "csv", wind.dl create a a CSV file in your working directory named "wind_yyyy_mm_dd_tt.csv". |
trace |
if trace = 1 (by default) track downloaded files |
file |
file name of the saved ".csv" files. |
The output type is determined by type="csv" or type="read-data". If type="csv" is selected, the function creates a "wind_yyyy_mm_dd_tt.csv" file that is downloaded at the work directory. If type="read-data" is selected, an R object (data.frame) is created.
"rWind" and "data.frame" class object or .csv file with U and V vector components and wind direction and speed for each coordinate in the study area defined by lon1/lon2 and lat1/lat2.
Longitude coordinate are provided by GFS dataset in 0/360 notation and transformed internally into -180/180. Wind "dir" denotes where the wind is going (toward), not from where is coming.
Javier Fernández-López (jflopez.bio@gmail.com)
http://www.digital-geography.com/cloud-gis-getting-weather-data/#.WDOWmbV1DCL
https://pae-paha.pacioos.hawaii.edu/erddap/griddap/ncep_global.graph
1 2 3 4 5 6 | # Download wind for Iberian Peninsula region at 2015, February 12, 00:00
## Not run:
wind.dl(2015, 2, 12, 0, -10, 5, 35, 45)
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.