VARMER: Variational Merging

A new mathematical formulation to merge observed data with gridded images of environmental variables using partial differential equations in a variational setting. The original method was created, developed and published by Ulloa, Samaniego, Campozano and Ballari (2018) <doi:10.1002/2017JD027982>.

Version: 1.0.0
Depends: R (≥ 4.0.0)
Imports: stats, methods, raster, pracma, rgl, deldir, grDevices, zoo, sf, gstat, Metrics, hydroGOF, tictoc, cluster, parallel
Suggests: knitr, rmarkdown, rgdal, RFmerge
Published: 2021-02-07
Author: Jacinto Ulloa [aut], Esteban Samaniego [aut], Lenin Campozano [aut], Daniela Ballari [aut], Leandro Robaina [cre, com, trl], Ronald Gualan [com]
Maintainer: Leandro Robaina <metclimaepn.libs at gmail.com>
License: CC0
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: VARMER results

Downloads:

Reference manual: VARMER.pdf
Vignettes: Tutorial for merging a WRF output (maximum temperature) with ground observations using 'VARMER'
Tutorial for merging a satellite-based precipitation product with ground observations using 'VARMER'
Package source: VARMER_1.0.0.tar.gz
Windows binaries: r-devel: VARMER_1.0.0.zip, r-release: VARMER_1.0.0.zip, r-oldrel: VARMER_1.0.0.zip
macOS binaries: r-release (arm64): VARMER_1.0.0.tgz, r-release (x86_64): VARMER_1.0.0.tgz, r-oldrel: VARMER_1.0.0.tgz
Old sources: VARMER archive

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