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CSIndicators: Get tailored climate indicators for applications in your sector

Authors: Pérez-Zanón, Núria; Ho, An-Chi; Chou, Chihchung; Lledó, Llorenç; Marcos-Matamoros, Raül; Rifà, Eva; González-Reviriego, Nube;

CSIndicators: Get tailored climate indicators for applications in your sector

Abstract

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.

This package was developed in the context of H2020 MED-GOLD (776467), S2S4E (776787), VITIGEOSS (869565) projects and Horizon Europe ASPECT project (101081460).

Peer Reviewed

Country
Spain
Keywords

Sectorial climate applications, H1-99, Climate services, Àrees temàtiques de la UPC::Física, Climatology -- Forecasting, Climate indicators, Climatologia -- Previsió, R (Llenguatge de programació), Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada, Climate prediction, Social sciences (General), Meteorology. Climatology, R (Computer program language), Climate adaptation, Sectoral climate applications, Climate services tools, QC851-999

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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84
53
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