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' and the 'H2020 S2S4E' project
and includes contributions from 'ArticXchange' project founded
by 'EU-PolarNet 2'. 'Pérez-Zanón et al. (2022)
<doi:10.5194/gmd-15-6115-2022>'. '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>'. 'Straus et al. (2007)
<doi:10.1175/JCLI4070.1>'. '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>'. 'Verfaillie et al. (2017)
<doi:10.5194/gmd-10-4257-2017>'. '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>'.
