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Package: CSTools
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Title: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal
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Version: 2.0.0
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    person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8568-3071")),
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    person("Louis-Philippe", "Caron", , "louis-philippe.caron@bsc.es", role = "aut", comment = c(ORCID = "0000-0001-5221-0147")),
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    person("Carmen", "Alvarez-Castro", , "carmen.alvarez-castro@cmcc.it", role = "aut"),
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    person("Jost", "von Hardenberg", , email = c("j.vonhardenberg@isac.cnr.it", "jost.hardenberg@polito.it"), role = "aut",  comment = c(ORCID = "0000-0002-5312-8070")),
    person("Llorenç", "LLedo", , "llledo@bsc.es", role = "aut"), 
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    person("Nicolau", "Manubens", , "nicolau.manubens@bsc.es", role = "aut"),
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    person("Eroteida", "Sanchez-Garcia", , "esanchezg@aemet.es", role = "aut"),
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    person("Bert", "van Schaeybroeck", , "bertvs@meteo.be", role = "aut"),
    person("Veronica", "Torralba", , "veronica.torralba@bsc.es", role = "aut"),
    person("Deborah", "Verfaillie", , "deborah.verfaillie@bsc.es", role = "aut"),
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    person("Lauriane", "Batte", , "lauriane.batte@meteo.fr", role = "ctb"),
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    person("Filippo", "Cali Quaglia", , "filippo.caliquaglia@gmail.com", role = "ctb"),
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    person("Susanna", "Corti", , "s.corti@isac.cnr.it", role = "ctb"),
    person("Paolo", "Davini", , "p.davini@isac.cnr.it", role = "ctb"),
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    person("Federico", "Fabiano", , "f.fabiano@isac.cnr.it", role = "ctb"),
    person("Ignazio", "Giuntoli", , "i.giuntoli@isac.cnr.it", role = "ctb"),
    person("Raul", "Marcos", , "raul.marcos@bsc.es", role = "ctb"),
    person("Niti", "Mishra", , "niti.mishra@bsc.es", role = "ctb"),
    person("Jesus", "Peña", , "jesus.pena@bsc.es", role = "ctb"),
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    person("Silvia", "Terzago", , "s.terzago@isac.cnr.it", role = "ctb"),
    person("Danila", "Volpi", , "d.volpi@isac.cnr.it", role = "ctb"),
    person("BSC-CNS", role = c("cph")))
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Description: 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
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    ERA4CS project MEDSCOPE and the H2020 S2S4E project.
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    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>.
    Sanchez-Garcia et al. (2019) <doi:10.5194/asr-16-165-2019>.
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    Straus et al. (2007) <doi:10.1175/JCLI4070.1>.
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    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>.
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    Van Schaeybroeck et al. (2019) <doi:10.1016/B978-0-12-812372-0.00010-8>.
    Yiou et al. (2013) <doi:10.1007/s00382-012-1626-3>.
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    R (>= 3.4.2),
    rainfarmr,
    multiApply,
    qmap,
    ncdf4,
    ggplot2,
    graphics,
    grDevices,
    stats,
    utils,
    verification
Suggests:
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    testthat,
    knitr,
    rmarkdown
VignetteBuilder: knitr
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License: Apache License 2.0
Encoding: UTF-8
LazyData: true
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RoxygenNote: 7.0.2