extractForecast: Extract NWP variables forecast with variability indexes
In iesiee/PVF: Forecast of Power and Ramps Produced by Grid-Connected PV Systems

Description Usage Arguments Details Value Author(s) See Also

Build a time series with one or more Numerical Weather Prediction variables from a specified remote source for a time period at a defined location. The variable is quantified with the value at the location, a spatial interpolation using nearby points, three spatial variability indexes, and one time variability index.

extractForecast(point, seqDays, vrbl,
                src='meteogalicia',
                remote=TRUE, dataDir='.',
                sun = FALSE, ...)

predVarsLocal(point, seqDays, vrbls,
              mc.cores = 1,
              sun = TRUE, ...)

`point`	point represented by a `SpatialPoints*` object, or a numeric vector of length 2 (longitude, latitude), in degrees.
`seqDays`	Sequence of days defined by a `Date` object, or a character that can be coerced to a `Date`.
`vrbl, vrbls`	Character. The name(s) of the variable(s) to retrieve. Inspect the help page of `grepVar` to know what variables are available in each service.
`sun`	Logical, if `TRUE` sun geometry is computed (solar altitude, azimuth, and extraterrestrial irradiance) and included as additional variables.
`src`	Character, which service to use, 'meteogalicia', 'gfs', 'openmeteo', 'nam' or 'rap'. Read the help page of `getRaster` for details.
`remote`	Logical. If `TRUE` (default) data is downloaded from the remote service. If `FALSE` the `RasterBrick` is produced with the files available in the local folder.
`dataDir`	Character, path of the folder where files are stored (if `remote = 'FALSE'`)
`mc.cores`	The number of cores to use, i.e. at most how many child processes will be run simultaneously. Parallelization requires at least two cores. It relies on forking and hence is not available on Windows.
`...`	Additional arguments for `getRasterDays`

predVarsLocal is a wrapper around extractForecast using mclapply for building a time series for each variable included in vrbls.

A time series (using the zoo class) with a column for the value at the location, the IDW interpolation, the spatial variability indexes obtained with terrainIndex, and the time variability index.

Marcelo Pinho Almeida and Oscar Perpiñán Lamigueiro

terrainIndex, getRasterDays, getPointRuns, calcSol

iesiee/PVF documentation built on May 9, 2019, 1:09 a.m.