CRAN/E | CSIndicators

CSIndicators

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

Installation

About

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.

Citation CSIndicators citation info
earth.bsc.es/gitlab/es/csindicators/
Bug report File report

Key Metrics

Version 1.1.1
R ≥ 3.6.0
Published 2024-01-24 82 days ago
Needs compilation? no
License GPL-3
CRAN checks CSIndicators results

Downloads

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Last 90 days 1.069 +20%
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Maintainer

Maintainer

Victòria Agudetse

victoria.agudetse@bsc.es

Authors

Victòria Agudetse

cre

Eva Rifà

ctb

Nuria Perez-Zanon

aut

Chou Chihchung

aut

Llorenç Lledó

aut

González-Reviriego Nube

ctb

Marcos Raül

ctb

Palma Lluis

ctb

An-Chi Ho

ctb

BSC-CNS

cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Agricultural Indicators
Energy Indicators

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CSIndicators archive

Depends

R ≥ 3.6.0

Imports

multiApply ≥ 2.1.1
stats
ClimProjDiags
CSTools
SPEI
lmom
lmomco
zoo
s2dv

Suggests

testthat
knitr
markdown
rmarkdown