Package: CSIndicators 1.2.0

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, health...). 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 was developed in the context of the H2020 projects MED-GOLD (776467) and S2S4E (776787) projects, as well as the Horizon Europe project MEDEWSA (101121192) and the national project BOREAS (PID2022-140673OA-I00). 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.

Authors:Nuria Perez-Zanon [aut], Chou Chihchung [aut], Llorenç Lledó [aut], Victòria Agudetse [ctb, cre], Eva Rifà [ctb], González-Reviriego Nube [ctb], Marcos Raül [ctb], Palma Lluis [ctb], An-Chi Ho [ctb], Javier Corvillo [ctb], Alberto Bojaly [ctb], Theertha Kariyathan [ctb], BSC-CNS [cph]