المؤلفون: Pérez Zanón, Núria, Caron, Louis-Philippe, Terzago, Silvia, Van Schaeybroeck, Bert, Lledó, Llorenç, Bretonnière, Pierre-Antoine, Delgado Torres, Carlos

المساهمون: Barcelona Supercomputing Center

مصطلحات موضوعية: Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia, 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

وصف الملف: application/pdf

Relation: https://gmd.copernicus.org/articles/15/6115/2022/; info:eu-repo/grantAgreement/EC/H2020/776787/EU/Sub-seasonal to Seasonal climate forecasting for Energy/S2S4E; info:eu-repo/grantAgreement/EC/H2020/776613/EU/European Climate Prediction system/EUCP; info:eu-repo/grantAgreement/EC/H2020/690462/EU/European Research Area for Climate Services/ERA4CS; Data availability The data sets used in this article are available from the CDS (https://cds.climate.copernicus.eu/ last access: 1 August 2022), which are the SEAS5 (Johnson et al., 2019; ECMWF long-range forecasting system SEAS5), the ERA5 (Hersbach et al., 2020) and the ERA5-Land data (Muñoz-Sabater et al., 2021), the CHIRPS (Funk et al., 2015; Climate Hazards group Infrared Precipitation with Stations; https://data.chc.ucsb.edu/products/CHIRPS-2.0/, last access: 24 July 2022), and in the WorldClim2 (Fick and Hijmans, 2017; http://www.worldclim.com/version2, last access: 1 August 2022).; Code availability CSTools is released under the Apache License version 2.0. The latest release of CSTools 4.0.1 is publicly available from a CRAN repository https://CRAN.R-project.org/package=CSTools (last access: 18 July 2022). It is being developed at BSC-CNS for a GitLab repository https://earth.bsc.es/gitlab/external/cstools/ (last access: 22 July 2022) and shared via Zenodo (https://doi.org/10.5281/zenodo.5549474; Pérez-Zanón et al., 2021a). The code to reproduce the use cases and plots shown in this work is shared on the three sites, and we recommend finding it in the GitLab repository https://earth.bsc.es/gitlab/external/cstools/-/tree/master/inst/doc (last access: 24 July 2022).; Pérez Zanón, N. [et al.]. Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information. "Geoscientific Model Development", 2022, vol. 15, núm. 15, p. 6115-6142.; http://hdl.handle.net/2117/371631

الاتاحة: http://hdl.handle.net/2117/371631
https://doi.org/10.5194/gmd-15-6115-2022

المؤلفون: Caron, Louis-Philippe, Pérez Zanón, Núria, Álvarez-Castro, Carmen, Batté, Lauriane, Corti, Susanna, Domínguez Alonso, Marta, Fabiano, Federico, Gualdi, Silvio, Hardenberg, Jost von, Lledó, Llorenç, Manubens, Nicolau, Marson, Paola, Materia, Stefano, Sánchez García, Eroteida, Schaeybroeck, Bert Van, Torralba, Verónica, Terzago, Silvia, Verfaillie, Deborah, Volpi, Danila

مصطلحات موضوعية: Seasonal Forecasts, R package, CSTools

Relation: http://hdl.handle.net/20.500.11765/12868

الاتاحة: https://hdl.handle.net/20.500.11765/12868

المؤلفون: 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, Deborah Verfaillie

المساهمون: Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Barcelona Supercomputing Center

المصدر: Geoscientific Model Development
Geoscientific Model Development, 2022, 15 (15), pp.6115-6142. ⟨10.5194/gmd-15-6115-2022⟩
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
GEOSCIENTIFIC MODEL DEVELOPMENT
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

مصطلحات موضوعية: SEASONAL FORECAST, Climate information, PREDICTION, EARTH SYSTEM MODELS, ADJUSTMENT, [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology, Climate data, Climatic changes--Forecasting, Simulació per ordinador, Pharmacology (medical), PHYSICAL SNOWPACK MODEL, COMBINATION, Simulació, Mètodes de, Climate forecast, CALIBRATION, Forecasting--Mathematical models, [STAT.AP]Statistics [stat]/Applications [stat.AP], Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia [Àrees temàtiques de la UPC], Climate Services Toolbox, MULTIMODEL ENSEMBLES, Climate Services Toolbox (CSTools) v4.0, General Medicine, Climatic changes, VARIABILITY, Temperature--Seasonal variations, Climate forecast data, Physics and Astronomy, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, PRECIPITATION

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f685acc95f4dfe7a0a5908cad9f89130
https://gmd.copernicus.org/articles/15/6115/2022/

المؤلفون: Caron, Louis-Philippe, Pérez Zanón, Núria, Álvarez-Castro, Carmen, Batté, Lauriane, Corti, Susanna, Domínguez Alonso, Marta, Fabiano, Federico, Gualdi, Silvio, Hardenberg, Jost von, Lledó, Llorenç, Manubens, Nicolau, Marson, Paola, Materia, Stefano, Sánchez García, Eroteida, Schaeybroeck, Bert Van, Torralba, Verónica, Terzago, Silvia, Verfaillie, Deborah, Volpi, Danila

مصطلحات موضوعية: Seasonal Forecasts, R package, CSTools

Relation: http://hdl.handle.net/20.500.11765/12867

الاتاحة: https://hdl.handle.net/20.500.11765/12867

المؤلفون: Barcelona Supercomputing Center, Pérez Zanón, Núria, Caron, Louis-Philippe, Terzago, Silvia, Van Schaeybroeck, Bert, Lledó, Llorenç, Bretonnière, Pierre-Antoine, Delgado Torres, Carlos

مصطلحات الفهرس: Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia, 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, Article

URL: http://hdl.handle.net/2117/371631
https://gmd.copernicus.org/articles/15/6115/2022/
https://gmd.copernicus.org/articles/15/6115/2022
info:eu-repo/grantAgreement/EC/H2020/776787/EU/Sub-seasonal to Seasonal climate forecasting for Energy/S2S4E
info:eu-repo/grantAgreement/EC/H2020/776613/EU/European Climate Prediction system/EUCP
info:eu-repo/grantAgreement/EC/H2020/690462/EU/European Research Area for Climate Services/ERA4CS
Data availability The data sets used in this article are available from the CDS (https://cds.climate.copernicus.eu/ last access: 1 August 2022), which are the SEAS5 (Johnson et al., 2019; ECMWF long-range forecasting system SEAS5), the ERA5 (Hersbach et al., 2020) and the ERA5-Land data (Muñoz-Sabater et al., 2021), the CHIRPS (Funk et al., 2015; Climate Hazards group Infrared Precipitation with Stations; https://data.chc.ucsb.edu/products/CHIRPS-2.0/, last access: 24 July 2022), and in the WorldClim2 (Fick and Hijmans, 2017; http://www.worldclim.com/version2, last access: 1 August 2022).
Code availability CSTools is released under the Apache License version 2.0. The latest release of CSTools 4.0.1 is publicly available from a CRAN repository https://CRAN.R-project.org/package=CSTools (last access: 18 July 2022). It is being developed at BSC-CNS for a GitLab repository https://earth.bsc.es/gitlab/external/cstools/ (last access: 22 July 2022) and shared via Zenodo (https://doi.org/10.5281/zenodo.5549474; Pérez-Zanón et al., 2021a). The code to reproduce the use cases and plots shown in this work is shared on the three sites, and we recommend finding it in the GitLab repository https://earth.bsc.es/gitlab/external/cstools/-/tree/master/inst/doc (last access: 24 July 2022).