From 3adf7275da5a2eb200dea5a9c210606e4f330295 Mon Sep 17 00:00:00 2001 From: Eva Rifa Date: Wed, 21 Jun 2023 18:08:24 +0200 Subject: [PATCH 1/3] Include publication in README and DESCRIPTION --- DESCRIPTION | 4 ++-- README.md | 6 +++++- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 4151ba4..a05a3b5 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -22,7 +22,7 @@ Description: Set of generalised tools for the flexible computation of climate provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package was developed in the context of H2020 MED-GOLD (776467) and - S2S4E (776787) projects. Lledó et al. (2019) . + S2S4E (776787) projects. Lledó et al. (2019) . Pérez-Zanón et al. (2023) . Depends: R (>= 3.6.0) Imports: @@ -40,4 +40,4 @@ URL: https://earth.bsc.es/gitlab/es/csindicators/ BugReports: https://earth.bsc.es/gitlab/es/csindicators/-/issues Encoding: UTF-8 RoxygenNote: 7.2.0 -Config/testthat/edition: 3 \ No newline at end of file +Config/testthat/edition: 3 diff --git a/README.md b/README.md index 5521a51..6607398 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,11 @@ CSIndicators #### Sectoral Indicators for Climate Services Based on Sub-Seasonal to Decadal Climate Predictions -Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management…). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with [CSTools](https://earth.bsc.es/gitlab/external/cstools). +Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management…). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with [CSTools](https://earth.bsc.es/gitlab/external/cstools). + +A scientific publication was published in the Climate Services Journal, and it can be cited as follows: + +> Pérez-Zanón, N., Ho, A. Chou, C., Lledó, L., Marcos-Matamoros, R., Rifà, E. and González-Reviriego, N. (2023). CSIndicators: Get tailored climate indicators for applications in your sector. Climate Services. https://doi.org/10.1016/j.cliser.2023.100393 Installation ------------ -- GitLab From 797d8eedabff618e5c5966b4c6af664aae37f56c Mon Sep 17 00:00:00 2001 From: Eva Rifa Date: Wed, 21 Jun 2023 18:10:29 +0200 Subject: [PATCH 2/3] Improve description with a new space --- DESCRIPTION | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index a05a3b5..77a2156 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -22,7 +22,9 @@ Description: Set of generalised tools for the flexible computation of climate provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package was developed in the context of H2020 MED-GOLD (776467) and - S2S4E (776787) projects. Lledó et al. (2019) . Pérez-Zanón et al. (2023) . + S2S4E (776787) projects. + Lledó et al. (2019) . + Pérez-Zanón et al. (2023) . Depends: R (>= 3.6.0) Imports: -- GitLab From 0ed82bc291fb826176be5aac5e5176890f19071d Mon Sep 17 00:00:00 2001 From: Eva Rifa Date: Wed, 19 Jul 2023 12:34:58 +0200 Subject: [PATCH 3/3] Include publications: add new section in README and improve DESCRIPTION --- DESCRIPTION | 9 +++++---- README.md | 9 ++++++++- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 77a2156..c40d147 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -21,10 +21,11 @@ Description: Set of generalised tools for the flexible computation of climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. - This package was developed in the context of H2020 MED-GOLD (776467) and - S2S4E (776787) projects. - Lledó et al. (2019) . - Pérez-Zanón et al. (2023) . + This package is described in Pérez-Zanón et al. (2023) + and it was developed in the context of + H2020 MED-GOLD (776467) and S2S4E (776787) projects. See Lledó et al. (2019) + and Chou et al., 2023 + for details. Depends: R (>= 3.6.0) Imports: diff --git a/README.md b/README.md index 6607398..360ecbe 100644 --- a/README.md +++ b/README.md @@ -5,10 +5,17 @@ CSIndicators Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management…). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with [CSTools](https://earth.bsc.es/gitlab/external/cstools). -A scientific publication was published in the Climate Services Journal, and it can be cited as follows: +How to cite +----------- > Pérez-Zanón, N., Ho, A. Chou, C., Lledó, L., Marcos-Matamoros, R., Rifà, E. and González-Reviriego, N. (2023). CSIndicators: Get tailored climate indicators for applications in your sector. Climate Services. https://doi.org/10.1016/j.cliser.2023.100393 +For details in the methodologies see: + +> 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. +Chou, C., R. Marcos-Matamoros, L. Palma Garcia, N. Pérez-Zanón, M. Teixeira, S. Silva, N. Fontes, A. Graça, A. Dell'Aquila, S. Calmanti and N. González-Reviriego (2023). Advanced seasonal predictions for vine management based on bioclimatic indicators tailored to the wine sector. Climate Services, 30, 100343, https://doi.org/10.1016/j.cliser.2023.100343. +Lledó, Ll., V. Torralba, A. Soret, J. Ramon and F.J. Doblas-Reyes (2019). Seasonal forecasts of wind power generation. Renewable Energy, 143, 91-100, https://doi.org/10.1016/j.renene.2019.04.135. + Installation ------------ -- GitLab