Detection and Attribution Model Intercomparison Project (DAMIP).

Gillett, Nathan P., Shiogama, Hideo, Funke, Bernd, Hegerl, Gabriele, Knutti, Reto, Matthes, Katja , Santer, Benjamin D., Stone, Daithi and Tebaldi, Claudia (2016) Detection and Attribution Model Intercomparison Project (DAMIP). Open Access Geoscientific Model Development, 9 (10). pp. 3685-3697. DOI 10.5194/gmd-9-3685-2016.

[thumbnail of gmd-9-3685-2016.pdf]
Preview
Text
gmd-9-3685-2016.pdf - Published Version
Available under License Creative Commons: Attribution 3.0.

Download (702kB) | Preview

Supplementary data:

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 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.

Document Type: Article
Research affiliation: OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-ME Maritime Meteorology
Kiel University
Refereed: Yes
Open Access Journal?: Yes
Publisher: Copernicus Publications (EGU)
Related URLs:
Projects: DAMIP
Date Deposited: 26 Apr 2016 12:24
Last Modified: 01 Feb 2019 15:11
URI: https://oceanrep.geomar.de/id/eprint/32158

Actions (login required)

View Item View Item