ClimProjDiags: Set of Tools to Compute Various Climate Indices

Set of tools to compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices.

Version: 0.0.2
Depends: R (≥ 3.2.0)
Imports: multiApply (≥ 2.0.0), climdex.pcic, PCICt, plyr, stats
Suggests: knitr, rmarkdown
Published: 2018-12-10
Author: BSC-CNS [aut, cph], Alasdair Hunter [aut], Nuria Perez-Zanon [aut, cre], Nicolau Manubens [ctb], Louis-Philippe Caron [ctb]
Maintainer: Nuria Perez-Zanon <nuria.perez at bsc.es>
BugReports: https://earth.bsc.es/gitlab/es/ClimProjDiags/issues
License: LGPL-3
URL: https://earth.bsc.es/gitlab/es/ClimProjDiags
NeedsCompilation: no
Materials: README
CRAN checks: ClimProjDiags results

Downloads:

Reference manual: ClimProjDiags.pdf
Vignettes: anomaly_agreement
diurnaltemp
extreme_indices
heatcoldwaves
Package source: ClimProjDiags_0.0.2.tar.gz
Windows binaries: r-devel: ClimProjDiags_0.0.2.zip, r-release: ClimProjDiags_0.0.2.zip, r-oldrel: ClimProjDiags_0.0.2.zip
OS X binaries: r-release: ClimProjDiags_0.0.2.tgz, r-oldrel: ClimProjDiags_0.0.2.tgz
Old sources: ClimProjDiags archive

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