wind.dl: Wind-data download

Description Usage Arguments Details Value Note Author(s) References See Also Examples

View source: R/wind_functions2.R

Description

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

Usage

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wind.dl(
  yyyy,
  mm,
  dd,
  tt,
  lon1,
  lon2,
  lat1,
  lat2,
  type = "read-data",
  trace = 1
)

read.rWind(file)

Arguments

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.

Details

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.

Value

"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.

Note

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.

Author(s)

Javier Fernández-López (jflopez.bio@gmail.com)

References

http://www.digital-geography.com/cloud-gis-getting-weather-data/#.WDOWmbV1DCL

https://pae-paha.pacioos.hawaii.edu/erddap/griddap/ncep_global.graph

See Also

wind.dl_2, wind2raster

Examples

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# 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)

rWind documentation built on Oct. 19, 2021, 5:06 p.m.