Articles | Volume 15, issue 15
https://doi.org/10.5194/gmd-15-6115-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6115-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
04 Aug 2022
Model description paper |
| 04 Aug 2022
| 04 Aug 2022
Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Louis-Philippe Caron
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Ouranos, 550 Sherbrooke St W, Montreal, Quebec H3A9, Canada
Silvia Terzago
National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), Turin, Italy
Bert Van Schaeybroeck
Royal Meteorological Institute of Belgium, Brussels, Belgium
Llorenç Lledó
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Nicolau Manubens
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Emmanuel Roulin
Royal Meteorological Institute of Belgium, Brussels, Belgium
M. Carmen Alvarez-Castro
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Climate Simulations and Predictions division, Bologna, Italy
Lauriane Batté
CNRM, Université de Toulouse, Météo-France, CNRS,
Toulouse, France
Pierre-Antoine Bretonnière
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Susana Corti
National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), Turin, Italy
Carlos Delgado-Torres
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Marta Domínguez
Delegación territorial (DT) Cantabria, Agencia Estatal de
Meteorología (AEMET), Santander, Spain
Federico Fabiano
National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), Turin, Italy
Ignazio Giuntoli
National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), Turin, Italy
School of Geography, Earth, and Environment Sciences, University of
Birmingham, Birmingham, UK
Jost von Hardenberg
National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), Turin, Italy
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, Italy
Eroteida Sánchez-García
Delegación territorial (DT) Cantabria, Agencia Estatal de
Meteorología (AEMET), Santander, Spain
Verónica Torralba
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Climate Simulations and Predictions division, Bologna, Italy
Deborah Verfaillie
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, Belgium
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Cited
6 citations as recorded by crossref.
- CSIndicators: Get tailored climate indicators for applications in your sector N. Pérez-Zanón et al. 10.1016/j.cliser.2023.100393
- A Pathway towards Climate Services for the Agricultural Sector I. Charalampopoulos & F. Droulia 10.3390/cli12020018
- Climate change adaptation stories: Co-creating climate services with reindeer herders in Finland M. Terrado et al. 10.1016/j.scitotenv.2023.168520
- Representation and Annual to Decadal Predictability of Euro‐Atlantic Weather Regimes in the CMIP6 Version of the EC‐Earth Coupled Climate Model C. Delgado‐Torres et al. 10.1029/2022JD036673
- Moving climate seasonal forecasts information from useful to usable for early within-season predictions of durum wheat yield R. Dainelli et al. 10.1016/j.cliser.2022.100324
- Improved representativeness of simulated climate using natural units and monthly resolution H. Huebener et al. 10.3389/fclim.2022.991082
3 citations as recorded by crossref.
- CSIndicators: Get tailored climate indicators for applications in your sector N. Pérez-Zanón et al. 10.1016/j.cliser.2023.100393
- A Pathway towards Climate Services for the Agricultural Sector I. Charalampopoulos & F. Droulia 10.3390/cli12020018
- Climate change adaptation stories: Co-creating climate services with reindeer herders in Finland M. Terrado et al. 10.1016/j.scitotenv.2023.168520
3 citations as recorded by crossref.
- Representation and Annual to Decadal Predictability of Euro‐Atlantic Weather Regimes in the CMIP6 Version of the EC‐Earth Coupled Climate Model C. Delgado‐Torres et al. 10.1029/2022JD036673
- Moving climate seasonal forecasts information from useful to usable for early within-season predictions of durum wheat yield R. Dainelli et al. 10.1016/j.cliser.2022.100324
- Improved representativeness of simulated climate using natural units and monthly resolution H. Huebener et al. 10.3389/fclim.2022.991082
Latest update: 23 Apr 2024
Short summary
CSTools (short for Climate Service Tools) is an R package that contains process-based methods for climate 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. In addition to describing the structure and methods in the package, we also present three use cases to illustrate the seasonal climate forecast post-processing for specific purposes.
CSTools (short for Climate Service Tools) is an R package that contains process-based methods...
