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) . Verfaillie et al. (2017) . Van Schaeybroeck et al. (2019) . Yiou et al. (2013) .

This website graphically displays the MEDSCOPE Git project. It allows you to monitor its progress and to interact with other developers via the Issues section.

While it provides some very basic tools to add and modify files in the Git project, if you plan on contributing, you should rather clone the project on your workstation and modify it using the basic Git commands (clone, branch, add, commit, push, merge, ...).

The source code of the MEDSCOPE prototype will be structured as an R package. The code of each function should live in a separate file with the .R extension under the R folder, and the documentation of each function should live in a separate file with the .Rd extension under the man folder.

For an introductory video on Git, you can have a look at

You can also find all the necessary documentation on git here: A lot of it may be a bit complicated for beginners (and not necessary for us), but the "Getting started" and "Git basics" sections are a good resources. And you can find supporting videos here:


Reference manual

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4.0.1 by Nuria Perez-Zanon, 4 months ago

Browse source code at

Authors: Nuria Perez-Zanon [aut, cre] , Louis-Philippe Caron [aut] , Carmen Alvarez-Castro [aut] , Lauriane Batte [aut] , Carlos Delgado [aut] , Jost von Hardenberg [aut] , Llorenç LLedo [aut] , Nicolau Manubens [aut] , Lluís Palma [aut] , Eroteida Sanchez-Garcia [aut] , Bert van Schaeybroeck [aut] , Veronica Torralba [aut] , Deborah Verfaillie [aut] , Filippo Cali Quaglia [ctb] , Maria M. Chaves-Montero [ctb] , Chihchung Chou [ctb] , Nicola Cortesi [ctb] , Susanna Corti [ctb] , Paolo Davini [ctb] , Gildas Dayon [ctb] , Marta Dominguez [ctb] , Federico Fabiano [ctb] , Ignazio Giuntoli [ctb] , Raul Marcos [ctb] , Paola Marson [ctb] , Niti Mishra [ctb] , Jesus Peña [ctb] , Francesc Roura-Adserias [ctb] , Silvia Terzago [ctb] , Danila Volpi [ctb] , BSC-CNS [cph]

Documentation:   PDF Manual  

Apache License 2.0 license

Imports s2dverification, s2dv, rainfarmr, multiApply, ClimProjDiags, ncdf4, plyr, abind, data.table, reshape2, ggplot2, RColorBrewer, graphics, grDevices, stats, utils, verification

Depends on maps, qmap, easyVerification

Suggests zeallot, testthat, knitr, markdown, rmarkdown, startR

Suggested by CSIndicators.

See at CRAN