Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. Doblas-Reyes et al. (2005) <doi:10.1111/j.1600-0870.2005.00104.x>. Mishra et al. (2018) <doi:10.1007/s00382-018-4404-z>. Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>. Torralba et al. (2017) <doi:10.1175/JAMC-D-16-0204.1>. D'Onofrio et al. (2014) <doi:10.1175/JHM-D-13-096.1>.
Version: | 1.0.0 |
Depends: | R (≥ 3.2.0), maps |
Imports: | s2dverification, rainfarmr, multiApply, ncdf4, plyr, abind, data.table, reshape2, ggplot2, graphics, grDevices, stats, utils |
Suggests: | zeallot, testthat, knitr, rmarkdown |
Published: | 2019-04-24 |
Author: | BSC-CNS [cph],
Louis-Philippe Caron |
Maintainer: | Nuria Perez-Zanon <nuria.perez at bsc.es> |
License: | Apache License 2.0 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | CSTools results |
Reference manual: | CSTools.pdf |
Vignettes: |
Multi-model Skill Assessment Multivariate RMSE RainFARM |
Package source: | CSTools_1.0.0.tar.gz |
Windows binaries: | r-devel: CSTools_1.0.0.zip, r-release: CSTools_1.0.0.zip, r-oldrel: CSTools_1.0.0.zip |
OS X binaries: | r-release: CSTools_1.0.0.tgz, r-oldrel: CSTools_1.0.0.tgz |
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