Experiment design of the International CLIVAR C20C+ Detection and Attribution project
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”.
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1531029
- Alternate Identifier(s):
- OSTI ID: 1580837
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Published Article
- Journal Name:
- Weather and Climate Extremes
- Additional Journal Information:
- Journal Name: Weather and Climate Extremes Journal Volume: 24 Journal Issue: C; Journal ID: ISSN 2212-0947
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; detection and attribution; event attribution; climate models
Citation Formats
Stone, Dáithí A., Christidis, Nikolaos, Folland, Chris, Perkins-Kirkpatrick, Sarah, Perlwitz, Judith, Shiogama, Hideo, Wehner, Michael F., Wolski, Piotr, Cholia, Shreyas, Krishnan, Harinarayan, Murray, Donald, Angélil, Oliver, Beyerle, Urs, Ciavarella, Andrew, Dittus, Andrea, Quan, Xiao-Wei, and Tadross, Mark. Experiment design of the International CLIVAR C20C+ Detection and Attribution project. Netherlands: N. p., 2019.
Web. doi:10.1016/j.wace.2019.100206.
Stone, Dáithí A., Christidis, Nikolaos, Folland, Chris, Perkins-Kirkpatrick, Sarah, Perlwitz, Judith, Shiogama, Hideo, Wehner, Michael F., Wolski, Piotr, Cholia, Shreyas, Krishnan, Harinarayan, Murray, Donald, Angélil, Oliver, Beyerle, Urs, Ciavarella, Andrew, Dittus, Andrea, Quan, Xiao-Wei, & Tadross, Mark. Experiment design of the International CLIVAR C20C+ Detection and Attribution project. Netherlands. https://doi.org/10.1016/j.wace.2019.100206
Stone, Dáithí A., Christidis, Nikolaos, Folland, Chris, Perkins-Kirkpatrick, Sarah, Perlwitz, Judith, Shiogama, Hideo, Wehner, Michael F., Wolski, Piotr, Cholia, Shreyas, Krishnan, Harinarayan, Murray, Donald, Angélil, Oliver, Beyerle, Urs, Ciavarella, Andrew, Dittus, Andrea, Quan, Xiao-Wei, and Tadross, Mark. Sat .
"Experiment design of the International CLIVAR C20C+ Detection and Attribution project". Netherlands. https://doi.org/10.1016/j.wace.2019.100206.
@article{osti_1531029,
title = {Experiment design of the International CLIVAR C20C+ Detection and Attribution project},
author = {Stone, Dáithí A. and Christidis, Nikolaos and Folland, Chris and Perkins-Kirkpatrick, Sarah and Perlwitz, Judith and Shiogama, Hideo and Wehner, Michael F. and Wolski, Piotr and Cholia, Shreyas and Krishnan, Harinarayan and Murray, Donald and Angélil, Oliver and Beyerle, Urs and Ciavarella, Andrew and Dittus, Andrea and Quan, Xiao-Wei and Tadross, Mark},
abstractNote = {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”.},
doi = {10.1016/j.wace.2019.100206},
journal = {Weather and Climate Extremes},
number = C,
volume = 24,
place = {Netherlands},
year = {Sat Jun 01 00:00:00 EDT 2019},
month = {Sat Jun 01 00:00:00 EDT 2019}
}
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https://doi.org/10.1016/j.wace.2019.100206
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Cited by: 29 works
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