diff --git a/DESCRIPTION b/DESCRIPTION index 9123c589b1411638ea21e364a1592dc7be137f30..e3097686acfeac56ff45d938a0ca5758a2ca4b29 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -42,8 +42,9 @@ Description: Exploits dynamical seasonal forecasts in order to provide contains process-based 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. This package was developed in the context of the - ERA4CS project MEDSCOPE and the H2020 S2S4E project. + tailored products. This package was developed in the context of the ERA4CS + project MEDSCOPE and the H2020 S2S4E project and includes contributions from + ArticXchange project founded by EU-PolarNet 2. Pérez-Zanón et al. (2022) . Doblas-Reyes et al. (2005) . Mishra et al. (2018) . diff --git a/README.md b/README.md index bc54095ee7c0ac1cdc8c56fedac625b24fb33dd5..65a78d80ce1b71d0628637019cf48437adc11066 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ Welcome to the CSTools GitLab website The Climate Services Tools, CSTools, is an easy-to-use R package 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. -This package was developed in the context of the ERA4CS project MEDSCOPE and the H2020 S2S4E project. This GitLab project allows you to monitor its progress and to interact with other developers via the Issues section. +This package was developed in the context of the ERA4CS project MEDSCOPE and the H2020 S2S4E project and includes contributions from ArticXchange project founded by EU-PolarNet 2. This GitLab project allows you to monitor its progress and to interact with other developers via the Issues section. A scientific publication including use cases was published in the Geoscientific Model Development Journal, and it can be cited as follows: > Pérez-Zanón, N., Caron, L.-P., Terzago, S., Van Schaeybroeck, B., Lledó, L., Manubens, N., Roulin, E., Alvarez-Castro, M. C., Batté, L., Bretonnière, P.-A., Corti, S., Delgado-Torres, C., Domínguez, M., Fabiano, F., Giuntoli, I., von Hardenberg, J., Sánchez-García, E., Torralba, V., and Verfaillie, D.: Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information, Geosci. Model Dev., 15, 6115–6142, https://doi.org/10.5194/gmd-15-6115-2022, 2022.