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Intercomparison makes for a better climate model
Author(s) -
Meehl Gerald A.,
Boer George J.,
Covey Curt,
Latif Mojib,
Stouffer Ronald J.
Publication year - 1997
Publication title -
eos, transactions american geophysical union
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/97eo00276
Subject(s) - climate model , coupled model intercomparison project , transient climate simulation , downscaling , predictability , climatology , climate change , environmental science , earth system science , cryosphere , climate commitment , atmospheric model , meteorology , environmental resource management , global warming , geography , effects of global warming , sea ice , geology , oceanography , physics , quantum mechanics
Global coupled climate models are elaborate numerical/physical formulations of the atmosphere, ocean, cryosphere, and land which are “coupled” together and interact to simulate the three‐dimensional distribution of the climate over the globe. Such models are used to make projections of future climate change due to human activity. Simulation results are widely used to identify vulnerabilities and to study societal impacts that have policy implications. It is clearly important for the scientific community to systematically assess the simulation capabilities of these models. The climate modeling community is doing so in the Coupled Model Intercomparison Project (CMIP) which is an assessment of the “state‐of‐the‐art” in global coupled climate modeling. This activity is being organized by the World Climate Research Programme under the auspices of the Climate Variability and Predictability (CLIVAR) project.

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