This Title All WIREs
How to cite this WIREs title:
WIREs Clim Change
Impact Factor: 6.099

The Coupled Model Intercomparison Project: History, uses, and structural effects on climate research

Full article on Wiley Online Library:   HTML PDF

Can't access this content? Tell your librarian.

Abstract The results of the sixth phase of the coupled model intercomparison project (CMIP) are currently being analyzed and will form the basis of the IPCC Sixth Assessment Report. Since its creation in the mid‐1990s, CMIP has had an increasing influence on climate research. While the principle behind it has always remained the same—comparing different climate models under similar conditions—its design and motivations have evolved significantly over the phases of the project. This evolution is closely linked to that of the IPCC since, historically as well as today, the results of CMIP have played a major role in the Panel's reports. This role increased the visibility of CMIP. Over time, more and more people started to be interested in CMIP and to analyze its results. Despite this success, the way CMIP is used today raises methodological issues. In fact, CMIP has promoted a particular way of doing climate research, centered on a single tool–Global Coupled Models (GCMs)–and creating a gap between model developers and model users. Due to the debates regarding the interpretation of multi‐model ensembles and the validation of GCMs, whether the emphasis on this particular way of studying climate is serving the progress of climate science is questionable. This article is categorized under: Climate Models and Modeling > Knowledge Generation with Models
JJAS anomalies with respect to the base period (1961–1990) in CMIP5 historical simulations and 21st century projections of (a) surface air temperature and (b) precipitation for India. The intermodel spread is shown in shades (gray for historical runs, purple for RCP2.6 simulations, and light orange for RCP8.5 simulations). The solid lines represent the multi‐model average for historical (black), RCP2.6 (blue), and RCP8.5 (red). Courtesy Jayasankar et al. (2015)
[ Normal View | Magnified View ]

Browse by Topic

Climate Models and Modeling > Knowledge Generation with Models

Access to this WIREs title is by subscription only.

Recommend to Your
Librarian Now!

The latest WIREs articles in your inbox

Sign Up for Article Alerts