france_study
Science Score: 67.0%
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 8 DOI reference(s) in README -
✓Academic publication links
Links to: springer.com, zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.6%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: ribesaurelien
- Language: Jupyter Notebook
- Default Branch: master
- Size: 5.35 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 2
Metadata Files
README.md
Ribes et al. (2022) routines
A set of raw data, R routines and notebooks, to reproduce key figures from Ribes et al. (2022; see reference below). This is organized in three distinct steps: * estimation of forced responses in a set of CMIP6 models; see here, * implementation of the observational constraint (KCC); see here, * estimation of non-stationary climate normals from observations; see here.
Content
Related Publications
Ribes A., J. Boé, S. Qasmi, B. Dubuisson, H. Douville, L. Terray (2022) An updated assessment of past and future warming over France using regional observational constraints, submitted to ESD.
Qasmi, S. and Ribes, A. (in revision): Reducing uncertainty in local climate projections Journal of Climate DOI: 10.21203/rs.3.rs-364943/v1
Ribes, A. et al. (2021): Making climate projections conditional on historical observations. Science Advances, 7, eabc0671, DOI: 10.1126/sciadv.abc0671
Rigal A., J.-M. Azaïs, A. Ribes (2019) : Estimating daily climatological normals in a changing climate, Climate Dynamics, 53 (1–2), 275-286, doi:10.1007/s00382-018-4584-6
Installation
These routines use the KCC R package
KCC needs R version 3.5.3 or higher. If needed, install the devtools package in a R console:
install.packages("devtools")
Download and install the KCC package with the following line:
install_git("https://gitlab.com/saidqasmi/KCC.git")
Contributors
- Aurélien Ribes (aurelien.ribes@meteo.fr)
- Saïd Qasmi (said.qasmi@meteo.fr)
- Alix Rigal
Acknowledgments and Reference
If you use our routines, please cite the corresponding paper.
License
France_study: code going along with a research paper assessing past and future warming over France. Copyright (C) 2022 Aurélien Ribes
These routines are free: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.
Citation (CITATION.cff)
cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Ribes
given-names: Aurélien
title: "ribesaurelien/france_study"
version: v0.1
date-released: 2022-02-10