CSTools (2.0.0)

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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 and the H2020 S2S4E project. Doblas-Reyes et al. (2005) . Mishra et al. (2018) . Sanchez-Garcia et al. (2019) . Straus et al. (2007) . Terzago et al. (2018) . Torralba et al. (2017) . D'Onofrio et al. (2014) . Van Schaeybroeck et al. (2019) . Yiou et al. (2013) .

Maintainer: Nuria Perez-Zanon
Author(s): Nuria Perez-Zanon [aut, cre] (<https://orcid.org/0000-0001-8568-3071>), Louis-Philippe Caron [aut] (<https://orcid.org/0000-0001-5221-0147>), Carmen Alvarez-Castro [aut], Jost von Hardenberg [aut] (<https://orcid.org/0000-0002-5312-8070>), Lloren LLedo [aut], Nicolau Manubens [aut], Eroteida Sanchez-Garcia [aut], Bert van Schaeybroeck [aut], Veronica Torralba [aut], Deborah Verfaillie [aut], Lauriane Batte [ctb], Filippo Cali Quaglia [ctb], Susanna Corti [ctb], Paolo Davini [ctb], Federico Fabiano [ctb], Ignazio Giuntoli [ctb], Raul Marcos [ctb], Niti Mishra [ctb], Jesus Pea [ctb], Silvia Terzago [ctb], Danila Volpi [ctb], BSC-CNS [cph]

License: Apache License 2.0

Uses: abind, ClimProjDiags, data.table, ggplot2, maps, multiApply, ncdf4, plyr, qmap, rainfarmr, reshape2, s2dverification, verification, testthat, knitr, rmarkdown, zeallot

Released about 1 month ago.

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