The Detection and Attribution Model Intercomparison Project (DAMIP v1.0)contribution to CMIP6
Abstract
Detection and attribution (D&A) simulations were important components of CMIP5 and underpinned the climate change detection and attribution assessments of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. The primary goals of the Detection and Attribution Model Intercomparison Project (DAMIP) are to facilitate improved estimation of the contributions of anthropogenic and natural forcing changes to observed global warming as well as to observed global and regional changes in other climate variables; to contribute to the estimation of how historical emissions have altered and are altering contemporary climate risk; and to facilitate improved observationally constrained projections of future climate change. D&A studies typically require unforced control simulations and historical simulations including all major anthropogenic and natural forcings. Such simulations will be carried out as part of the DECK and the CMIP6 historical simulation. In addition D&A studies require simulations covering the historical period driven by individual forcings or subsets of forcings only: such simulations are proposed here. Key novel features of the experimental design presented here include firstly new historical simulations with aerosols-only, stratospheric-ozone-only, CO2-only, solar-only, and volcanic-only forcing, facilitating an improved estimation of the climate response to individual forcing, secondly future single forcing experiments, allowing observationally constrainedmore »
- Authors:
-
[1];
[3];
[5];
[6];
[8];
- Univ. of Victoria, Victoria (Canada)
- National Institute for Environmental Studies, Tsukuba (Japan)
- Instituto de Astrofisica de Andalucia, Granada (Spain)
- Univ. of Edinburgh, Edinburgh (United Kingdom)
- ETH Zurich, Zurich (Switzerland)
- GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel (Germany); Christian-Albrechts-Univ., zu Kiel, Kiel (Germany)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- National Center for Atmospheric Research, Boulder, CO (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1480412
- Alternate Identifier(s):
- OSTI ID: 1377543
- Report Number(s):
- LLNL-JRNL-736775
Journal ID: ISSN 1991-9603; 889362
- Grant/Contract Number:
- AC52-07NA27344; AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Geoscientific Model Development (Online)
- Additional Journal Information:
- Journal Name: Geoscientific Model Development (Online); Journal Volume: 9; Journal Issue: 10; Journal ID: ISSN 1991-9603
- Publisher:
- European Geosciences Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES
Citation Formats
Gillett, Nathan P., Shiogama, Hideo, Funke, Bernd, Hegerl, Gabriele, Knutti, Reto, Matthes, Katja, Santer, Benjamin D., Stone, Daithi, and Tebaldi, Claudia. The Detection and Attribution Model Intercomparison Project (DAMIP v1.0)contribution to CMIP6. United States: N. p., 2016.
Web. doi:10.5194/gmd-9-3685-2016.
Gillett, Nathan P., Shiogama, Hideo, Funke, Bernd, Hegerl, Gabriele, Knutti, Reto, Matthes, Katja, Santer, Benjamin D., Stone, Daithi, & Tebaldi, Claudia. The Detection and Attribution Model Intercomparison Project (DAMIP v1.0)contribution to CMIP6. United States. https://doi.org/10.5194/gmd-9-3685-2016
Gillett, Nathan P., Shiogama, Hideo, Funke, Bernd, Hegerl, Gabriele, Knutti, Reto, Matthes, Katja, Santer, Benjamin D., Stone, Daithi, and Tebaldi, Claudia. Tue .
"The Detection and Attribution Model Intercomparison Project (DAMIP v1.0)contribution to CMIP6". United States. https://doi.org/10.5194/gmd-9-3685-2016. https://www.osti.gov/servlets/purl/1480412.
@article{osti_1480412,
title = {The Detection and Attribution Model Intercomparison Project (DAMIP v1.0)contribution to CMIP6},
author = {Gillett, Nathan P. and Shiogama, Hideo and Funke, Bernd and Hegerl, Gabriele and Knutti, Reto and Matthes, Katja and Santer, Benjamin D. and Stone, Daithi and Tebaldi, Claudia},
abstractNote = {Detection and attribution (D&A) simulations were important components of CMIP5 and underpinned the climate change detection and attribution assessments of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. The primary goals of the Detection and Attribution Model Intercomparison Project (DAMIP) are to facilitate improved estimation of the contributions of anthropogenic and natural forcing changes to observed global warming as well as to observed global and regional changes in other climate variables; to contribute to the estimation of how historical emissions have altered and are altering contemporary climate risk; and to facilitate improved observationally constrained projections of future climate change. D&A studies typically require unforced control simulations and historical simulations including all major anthropogenic and natural forcings. Such simulations will be carried out as part of the DECK and the CMIP6 historical simulation. In addition D&A studies require simulations covering the historical period driven by individual forcings or subsets of forcings only: such simulations are proposed here. Key novel features of the experimental design presented here include firstly new historical simulations with aerosols-only, stratospheric-ozone-only, CO2-only, solar-only, and volcanic-only forcing, facilitating an improved estimation of the climate response to individual forcing, secondly future single forcing experiments, allowing observationally constrained projections of future climate change, and thirdly an experimental design which allows models with and without coupled atmospheric chemistry to be compared on an equal footing.},
doi = {10.5194/gmd-9-3685-2016},
journal = {Geoscientific Model Development (Online)},
number = 10,
volume = 9,
place = {United States},
year = {Tue Oct 18 00:00:00 EDT 2016},
month = {Tue Oct 18 00:00:00 EDT 2016}
}
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