Experiment design of the International CLIVAR C20C+ Detection and Attribution project
Article
Stone, Daithi A., Christidis, Nikolaos, Folland, Chris, Perkins-Kirkpatrick, Sarah, Perlwitz, Judith, Shiogama, Hideo, Wehner, Michael F., Wolski, Piotr, Cholia, Shreyas, Krishnan, Harinarayan, Murray, Donald, Angelil, Oliver, Beyerle, Urs, Ciavarella, Andrew, Dittus, Andrea, Quan, Xiao-Wei and Tadross, Mark. 2019. "Experiment design of the International CLIVAR C20C+ Detection and Attribution project." Weather and Climate Extremes. 24, pp. 1-10. https://doi.org/10.1016/j.wace.2019.100206
| Article Title | Experiment design of the International CLIVAR C20C+ Detection and Attribution project |
|---|---|
| ERA Journal ID | 211519 |
| Article Category | Article |
| Authors | Stone, Daithi A. (Author), Christidis, Nikolaos (Author), Folland, Chris (Author), Perkins-Kirkpatrick, Sarah (Author), Perlwitz, Judith (Author), Shiogama, Hideo (Author), Wehner, Michael F. (Author), Wolski, Piotr (Author), Cholia, Shreyas (Author), Krishnan, Harinarayan (Author), Murray, Donald (Author), Angelil, Oliver (Author), Beyerle, Urs (Author), Ciavarella, Andrew (Author), Dittus, Andrea (Author), Quan, Xiao-Wei (Author) and Tadross, Mark (Author) |
| Journal Title | Weather and Climate Extremes |
| Journal Citation | 24, pp. 1-10 |
| Article Number | 100206 |
| Number of Pages | 10 |
| Year | 2019 |
| Place of Publication | Netherlands |
| ISSN | 2212-0947 |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.wace.2019.100206 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S2212094719300027 |
| Abstract | There is a growing research interest in understanding extreme weather in the context of anthropogenic climate change, posing a requirement for new tailored climate data products. Here we introduce the Climate of the 20th Century Plus Detection and Attribution project (C20C + D&A), an international collaboration generating a product specifically intended for diagnosing causes of changes in extreme weather and for understanding uncertainties in that diagnosis. The project runs multiple dynamical models of the atmosphere-land system under observed historical conditions as well as under naturalised versions of those observed conditions, with the latter representing how the climate system might have evolved in the absence of anthropogenic interference. Each model generates large ensembles of simulations with different initial conditions for each historical scenario, providing a large sample size for understanding interannual variability, long-term trends, and the anthropogenic role in rare types of weather. This paper describes the C20C + D&A project design, implementation, strengths, and limitations, and also discusses various activities such as this special issue of Weather and Climate Extremes dedicated to 'First results of the C20C + Detection and Attribution project'. |
| Keywords | Detection and attribution, Event attribution, Climate models |
| ANZSRC Field of Research 2020 | 370202. Climatology |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Lawrence Berkeley National Laboratory, United States |
| Met Office, United Kingdom | |
| International Centre for Applied Climate Science | |
| University of New South Wales | |
| National Oceanic and Atmospheric Administration, United States | |
| National Institute for Environmental Studies, Japan | |
| University of Cape Town, South Africa | |
| Swiss Federal Institute of Technology Lausanne, Switzerland | |
| University of Melbourne | |
| Institution of Origin | University of Southern Queensland |
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