It allows merging satellite-based or model-based grided images (in raster format) with ground-based observed time-series (in zoo format). This function is a wrapper for the function which allows to combine a product-based image with an interpolated image from observations for a single time step.
varmer.ts(
x,
x.metadata,
v,
lat = "lat",
lon = "lon",
drty.out = tempdir(),
verbose = T
)data.frame with the ground-based observation in time series format. Every column must represent one ground-based station and the codes of the stations must be provided as colnames. class(data) must be zoo.
data.frame with the ground-based stations' metadata. At least, it MUST have the following 3 columns: id: This column stores the unique identifier (ID) of each ground observation. Default value is "id". lat: This column stores the latitude of each ground observation. Default value is "lat". lon: This column stores the longitude of each ground observation. Default value is "lon".
The satellite-based or model-based gridded images (in raster format, see raster). It can be a RasterStack or RasterBrick object since it is supposed to containe multiple layers (time series).
A character string with the name of the column in x.metadata where the latitude of the stations is stored.
A character string with the name of the column in x.metadata where the longitude of the stations is stored.
A character string with the full path to the directory where the final merged products will be exported
A logical which indicates if information messages are to be printed. By default verbose=TRUE