Climate Services (30), 2023
by Núria Pérez-Zanón; An-Chi Ho; Chihchung Chou; Eva Rifà; Nube González-Reviriego (Barcelona Supercomputing Centre – BSC); Llorenç Lledó (European Centre for Medium-Range Weather Forecast); Raül Marcos-Matamoros (Barcelona Supercomputing Centre – BSC; Department of Applied Physics, University of Barcelona)
CSIndicators is an R package that gathers generalised methods for the flexible computation of climate-related indicators. Each method represents a specific mathematical approach which is combined with the possibility of selecting a flexible time period to define the indicator. This enables a wide range of possibilities for tailoring indicators to sectorial climate service applications. This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time scales. Additionally, this package is compatible with the CSTools R package for climate forecast post-processing.