Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information

Despite the wealth of existing climate forecast data, only a small part is effectively exploited for sectoral applications. A major cause of this is the lack of integrated tools that allow the translation of data into useful and skillful climate information. This barrier is addressed through the dev...

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Autores: Pérez Zanón, Núria, Caron, Louis-Philippe|||0000-0001-5221-0147, Terzago, Silvia, Van Schaeybroeck, Bert, Lledó, Llorenç|||0000-0002-8628-6876, Bretonnière, Pierre-Antoine|||0000-0002-3066-6685, Delgado Torres, Carlos
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/371631
Acceso en línea:https://hdl.handle.net/2117/371631
https://dx.doi.org/10.5194/gmd-15-6115-2022
Access Level:acceso abierto
Palabra clave:Forecasting--Mathematical models
Temperature--Seasonal variations
Climatic changes
Climatic changes--Forecasting.
Climate forecast
Climate Services Toolbox (CSTools) v4.0
Simulació per ordinador
Simulació, Mètodes de
Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
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oai_identifier_str oai:upcommons.upc.edu:2117/371631
network_acronym_str ES
network_name_str España
repository_id_str
spelling Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast informationPérez Zanón, NúriaCaron, Louis-Philippe|||0000-0001-5221-0147Terzago, SilviaVan Schaeybroeck, BertLledó, Llorenç|||0000-0002-8628-6876Bretonnière, Pierre-Antoine|||0000-0002-3066-6685Delgado Torres, CarlosForecasting--Mathematical modelsTemperature--Seasonal variationsClimatic changesClimatic changes--Forecasting.Climate forecastClimate Services Toolbox (CSTools) v4.0Simulació per ordinadorSimulació, Mètodes deÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologiaDespite the wealth of existing climate forecast data, only a small part is effectively exploited for sectoral applications. A major cause of this is the lack of integrated tools that allow the translation of data into useful and skillful climate information. This barrier is addressed through the development of an R package. Climate Services Toolbox (CSTools) is an easy-to-use toolbox designed and built to assess and improve the quality of climate forecasts for seasonal to multi-annual scales. The package contains process-based, state-of-the-art methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination, and multivariate verification, as well as basic and advanced tools to obtain tailored products. Due to the modular design of the toolbox in individual functions, the users can develop their own post-processing chain of functions, as shown in the use cases presented in this paper, including the analysis of an extreme wind speed event, the generation of seasonal forecasts of snow depth based on the SNOWPACK model, and the post-processing of temperature and precipitation data to be used as input in impact models.This research has been supported by the Horizon 2020 (S2S4E; grant no. 776787), EUCP (grant no. 776613), ERA4CS (grant no. 690462), and the Ministerio de Ciencia e Innovación (grant no. FPI PRE2019-088646).Peer Reviewed"Article signat per 19 autors/es: Núria Pérez-Zanón, Louis-Philippe Caron, Silvia Terzago, Bert Van Schaeybroeck, Llorenç Lledó, Nicolau Manubens, Emmanuel Roulin, M. Carmen Alvarez-Castro, Lauriane Batté , Pierre-Antoine Bretonnière, Susana Corti, Carlos Delgado-Torres, Marta Domínguez, Federico Fabiano, Ignazio Giuntoli, Jost von Hardenberg, Eroteida Sánchez-García, Verónica Torralba, and Deborah Verfaillie"Copernicus Publications20222022-01-0120222022-08-05journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/371631https://dx.doi.org/10.5194/gmd-15-6115-2022reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 776787 Sub-seasonal to Seasonal climate forecasting for EnergyEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 776613 European Climate Prediction systemEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 690462 European Research Area for Climate Servicesopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3716312026-05-27T15:37:01Z
dc.title.none.fl_str_mv Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information
title Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information
spellingShingle Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information
Pérez Zanón, Núria
Forecasting--Mathematical models
Temperature--Seasonal variations
Climatic changes
Climatic changes--Forecasting.
Climate forecast
Climate Services Toolbox (CSTools) v4.0
Simulació per ordinador
Simulació, Mètodes de
Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
title_short Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information
title_full Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information
title_fullStr Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information
title_full_unstemmed Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information
title_sort Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information
dc.creator.none.fl_str_mv Pérez Zanón, Núria
Caron, Louis-Philippe|||0000-0001-5221-0147
Terzago, Silvia
Van Schaeybroeck, Bert
Lledó, Llorenç|||0000-0002-8628-6876
Bretonnière, Pierre-Antoine|||0000-0002-3066-6685
Delgado Torres, Carlos
author Pérez Zanón, Núria
author_facet Pérez Zanón, Núria
Caron, Louis-Philippe|||0000-0001-5221-0147
Terzago, Silvia
Van Schaeybroeck, Bert
Lledó, Llorenç|||0000-0002-8628-6876
Bretonnière, Pierre-Antoine|||0000-0002-3066-6685
Delgado Torres, Carlos
author_role author
author2 Caron, Louis-Philippe|||0000-0001-5221-0147
Terzago, Silvia
Van Schaeybroeck, Bert
Lledó, Llorenç|||0000-0002-8628-6876
Bretonnière, Pierre-Antoine|||0000-0002-3066-6685
Delgado Torres, Carlos
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Forecasting--Mathematical models
Temperature--Seasonal variations
Climatic changes
Climatic changes--Forecasting.
Climate forecast
Climate Services Toolbox (CSTools) v4.0
Simulació per ordinador
Simulació, Mètodes de
Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
topic Forecasting--Mathematical models
Temperature--Seasonal variations
Climatic changes
Climatic changes--Forecasting.
Climate forecast
Climate Services Toolbox (CSTools) v4.0
Simulació per ordinador
Simulació, Mètodes de
Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
description Despite the wealth of existing climate forecast data, only a small part is effectively exploited for sectoral applications. A major cause of this is the lack of integrated tools that allow the translation of data into useful and skillful climate information. This barrier is addressed through the development of an R package. Climate Services Toolbox (CSTools) is an easy-to-use toolbox designed and built to assess and improve the quality of climate forecasts for seasonal to multi-annual scales. The package contains process-based, state-of-the-art methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination, and multivariate verification, as well as basic and advanced tools to obtain tailored products. Due to the modular design of the toolbox in individual functions, the users can develop their own post-processing chain of functions, as shown in the use cases presented in this paper, including the analysis of an extreme wind speed event, the generation of seasonal forecasts of snow depth based on the SNOWPACK model, and the post-processing of temperature and precipitation data to be used as input in impact models.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01
2022
2022-08-05
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/371631
https://dx.doi.org/10.5194/gmd-15-6115-2022
url https://hdl.handle.net/2117/371631
https://dx.doi.org/10.5194/gmd-15-6115-2022
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 776787 Sub-seasonal to Seasonal climate forecasting for Energy
European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 776613 European Climate Prediction system
European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 690462 European Research Area for Climate Services
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Copernicus Publications
publisher.none.fl_str_mv Copernicus Publications
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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