The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Heat waves analysis over France in present and future climate: Application of a new method on the EURO-CORDEX ensemble
Open accessAbstract
Currently, the analysis of heat waves and the representation of such events in a comprehensible and accessible way is a crucial challenge for climate services, in particular for delivering scientific support to policy makers. In order to fulfil this need, a new method for analysing the heat waves in France has been defined. Heat wave detection is based on the high quantiles of daily temperature distributions, and can be applied on any series of temperature. The heat waves are characterised by their duration, maximal temperature and global intensity. Their characteristics are calculated for historical and future climate based on the EURO-CORDEX regional multi-model ensemble, under two different Representative Concentration Pathway scenarios: RCP4.5 and RCP8.5. The historical simulations are evaluated against the SAFRAN reanalysis data. The EURO-CORDEX ensemble simulates heat waves which characteristics are consistent with the events detected from the SAFRAN thermal indicator between 1971 and 2005. Models are able to simulate waves as intense as the 2003 outstanding event. Under future climate conditions, whatever the considered scenario, the heat waves become more frequent and have higher mean duration and intensity. Moreover, heat waves could occur during a larger part of summer. The 2003 event corresponds to a typical event at the end of the century, and its duration and intensity are much lower than the strongest waves that could occur over the last 30 years of the 21st century. However, the intensity of the evolution during the end of the century will strongly depend on climate policies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
The next generation of scenarios for climate change research and assessment
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., et al. (2010) · Nature · doi:10.1038/nature08823 · Cited by 6,467
The Hot Summer of 2010: Redrawing the Temperature Record Map of Europe
Barriopedro, D., Fischer, E. M., Luterbacher, J., Trigo, R. M., & García-Herrera, R. (2011) · Science · doi:10.1126/science.1201224 · Cited by 1,656
Dramatically increasing chance of extremely hot summers since the 2003 European heatwave
Christidis, N., Jones, G. S., & Stott, P. A. (2015) · Nature Climate Change · doi:10.1038/nclimate2468 · Cited by 573
Cited by
Ten questions concerning thermal resilience of buildings and occupants for climate adaptation
Hong, T., Malik, J., Krelling, A., O'Brien, W., Sun, K., Lamberts, R., & Wei, M. (2023) · Building and Environment · doi:10.1016/j.buildenv.2023.110806 · Cited by 159
Hydro-meteorological risk assessment methods and management by nature-based solutions
Sahani, J., Kumar, P., Debele, S., Spyrou, C., Loupis, M., Aragão, L., Porcù, F., Shah, M. A. R., & Di Sabatino, S. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.133936 · Cited by 154
Sheng, M., Reiner, M., Sun, K., & Hong, T. (2023) · Building and Environment · doi:10.1016/j.buildenv.2023.110001 · Cited by 112
Rahif, R., Kazemi, M., & Attia, S. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2023.112998 · Cited by 51
Krelling, A. F., Lamberts, R., Malik, J., Zhang, W., Sun, K., & Hong, T. (2024) · Sustainable Cities and Society · doi:10.1016/j.scs.2024.105460 · Cited by 50
Metadata
- Authors
- Ouzeau, G., Soubeyroux, J.-M., Schneider, M., Vautard, R., & Planton, S.
- Venue
- Climate Services
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 4
- Pages
- 1-12
- ISSN
- 2405-8807 (ISSN-L)
- OpenAlex
- W2529365207
- Cited by
- 206
- References
- 4
- FWCI
- 7.06
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Heat waves analysis over France in present and future climate: Application of a new method on the EURO-CORDEX ensemble. https://app.cochat.ai/papers/10.1016/j.cliser.2016.09.002
- The paper
- Ouzeau, G., Soubeyroux, J.-M., Schneider, M., Vautard, R., & Planton, S. (2016). Heat waves analysis over France in present and future climate: Application of a new method on the EURO-CORDEX ensemble. Climate Services. https://doi.org/10.1016/j.cliser.2016.09.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.