varmer.ts: Variational merging for time series

In VARMER: Variational Merging

Description

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.

Usage

varmer.ts(
  x,
  x.metadata,
  v,
  lat = "lat",
  lon = "lon",
  drty.out = tempdir(),
  verbose = T
)

Arguments

x	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.
x.metadata	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".
v	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).
lat	A character string with the name of the column in x.metadata where the latitude of the stations is stored.
lon	A character string with the name of the column in x.metadata where the longitude of the stations is stored.
drty.out	A character string with the full path to the directory where the final merged products will be exported
verbose	A logical which indicates if information messages are to be printed. By default verbose=TRUE

VARMER documentation built on Feb. 8, 2021, 1:07 a.m.