CSTools: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales

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. This package was developed in the context of the ERA4CS project MEDSCOPE. 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>.

Package details

AuthorBSC-CNS [cph], Louis-Philippe Caron [aut] (<https://orcid.org/0000-0001-5221-0147>), Jost von Hardenberg [aut] (<https://orcid.org/0000-0002-5312-8070>), Nuria Perez-Zanon [aut, cre] (<https://orcid.org/0000-0001-8568-3071>), Llorenç LLedo [aut], Nicolau Manubens [aut], Niti Mishra [ctb], Veronica Torralba [aut], Deborah Verfaillie [aut], Lauriane Batte [ctb], Jesus Peña [ctb], Bert van Schaeybroeck [ctb]
MaintainerNuria Perez-Zanon <[email protected]>
LicenseApache License 2.0
Version1.0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CSTools")

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CSTools documentation built on June 19, 2019, 5:03 p.m.