CSIndicators: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions

Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management, ...). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package is described in 'Pérez-Zanón et al. (2023) <doi:10.1016/j.cliser.2023.100393>' and it was developed in the context of 'H2020 MED-GOLD' (776467) and 'S2S4E' (776787) projects. See 'Lledó et al. (2019) <doi:10.1016/j.renene.2019.04.135>' and 'Chou et al., 2023 <doi:10.1016/j.cliser.2023.100345>' for details.

Package details

AuthorEva Rifà [cre], Nuria Perez-Zanon [aut] (<https://orcid.org/0000-0001-8568-3071>), Chou Chihchung [aut], Llorenç Lledó [aut], González-Reviriego Nube [ctb], Marcos Raül [ctb], Palma Lluis [ctb], An-Chi Ho [ctb], BSC-CNS [cph]
MaintainerEva Rifà <eva.rifarovira@bsc.es>
LicenseGPL-3
Version1.1.0
URL https://earth.bsc.es/gitlab/es/csindicators/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CSIndicators")

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CSIndicators documentation built on Nov. 20, 2023, 5:07 p.m.