Sectoral Indicators for Climate Services Based on Sub-Seasonal to Decadal Climate 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.


You can then install the public released version of CSIndicators from CRAN:


Or the development version from the GitLab repository:

# install.packages("devtools")


To learn how to use the package see:

Functions documentation can be found here.

Function CST version Indicators
PeriodMean CST_PeriodMean GST, SprTX, DTR
PeriodAccumulation CST_PeriodAccumulation SprR, HarR, PRCPTOT
AccumulationExceedingThreshold CST_AccumulationExceedingThreshold GDD, R95pTOT, R99pTOT
TotalTimeExceedingThreshold CST_TotalTimeExceedingThreshold SU35, SU, FD, ID, TR, R10mm, Rnmm
TotalSpellTimeExceedingThreshold CST_TotalSpellTimeExceedingThreshold WSDI, CSDI
WindCapacityFactor CST_WindCapacityFactor Wind Capacity Factor
WindPowerDensity CST_WindPowerDensity Wind Power Density
Auxiliar function CST version
AbsToProbs CST_AbsToProbs
QThreshold CST_QThreshold
Threshold CST_Threshold
MergeRefToExp CST_MergeRefToExp
SelectPeriodOnData CST_SelectPeriodOnData

Find the current status of each function in this link.

Note: the CST version uses ‘s2dv_cube’ objects as inputs and outputs while the former version uses multidimensional arrays with named dimensions as inputs and outputs

Note: All functions computing indicators allows to subset a time period if required, although this temporal subsetting can also be done with functions SelectPeriodOnData in a separated step.

Object class ‘s2dv_cube’

This package is designed to be compatible with other R packages such as CSTools through a common object: the s2dv_cube object class, used in functions with the prefix CST_. This object can be created from Start (startR package) and from Load (s2dv package) directly.

The class s2dv_cube is mainly a list of named elements to keep data and metadata in a single object. Basic structure of the object:

$ data: [data array]
$ dims: [dimensions vector]
$ coords: [List of coordinates vectors]
  $ sdate
  $ time
  $ lon
$ attrs: [List of the attributes]
  $ Variable:
    $ varName
    $ metadata 
  $ Datasets
  $ Dates
  $ source_files
  $ when
  $ load_parameters

More information about the s2dv_cube object class can be found here: description of the s2dv_cube object structure document.

The current s2dv_cube object (CSIndicators 1.0.0 and CSTools 5.0.0) differs from the original object used in the previous versions of the packages. If you have questions on this change you can follow some of the points below:


  1. Open an issue to ask for help or describe a function to be integrated
  2. Agree with maintainers (@ngonzal2, @rmarcos, @nperez and @erifarov) on the requirements
  3. Create a new branch from master with a meaningful name
  4. Once the development is finished, open a merge request to merge the branch on master

Note: Remember to work with multidimensionals arrays with named dimensions when possible and use multiApply.

Add a function

To add a new function in this R package, follow this considerations:

  1. Each function exposed to the users should be in separate files in the R folder
  2. The name of the function should match the name of the file (e.g.: Function() included in file Function.R)
  3. The documentation should be in roxygen2 format as a header of the function
  4. Once, the function and the documentation is finished, run the command devtools::document() in your R terminal to automatically generate the Function.Rd file
  5. Remember to use R 4.1.2 when doing the development
  6. Code format: include spaces between operators (e.g. +, -, &), before and after ‘,’. The maximum length of lines is of 100 characters (hard limit 80 characters). Number of indentation spaces is 2.
  7. Functions computing Climate indicators should include a temporal subsetting option. Use the already existing functions to adapt your code.