Atmospheric Model Intercomparison Project ( AMIP ) is a standard experimental protocol for global atmospheric general circulation models (AGCMs). It provides a community -based infrastructure in support of climate model diagnosis, validation, intercomparison, documentation and data access. Virtually the entire international climate modeling community has participated in this project since its inception in 1990.
5-447: The Paleoclimate Modelling Intercomparison Project is a project, somewhat along the lines of AMIP or CMIP , to coordinate and encourage the systematic study of atmospheric general circulation models (AGCMs) and to assess their ability to simulate large climate changes such as those that occurred in the distant past. Project goals include identifying common responses of AGCMs to imposed paleoclimate "boundary conditions," understanding
10-642: Is a stub . You can help Misplaced Pages by expanding it . Atmospheric Model Intercomparison Project AMIP is endorsed by the Working Group on Numerical Experimentation (WGNE) of the World Climate Research Programme , and is managed by the Program for Climate Model Diagnosis and Intercomparison with the guidance of the WGNE AMIP Panel. The AMIP experiment itself is simple by design; an AGCM
15-472: Is constrained by realistic sea surface temperature and sea ice from 1979 to near present, with a comprehensive set of fields saved for diagnostic research. This model configuration removes the added complexity of ocean -atmosphere feedbacks in the climate system. It is not meant to be used for climate change prediction, an endeavor that requires a coupled atmosphere-ocean model (e.g., see AMIP's sister project CMIP ). This article about climate change
20-609: The differences in model responses, comparing model results with paleoclimate data, and providing AGCM results for use in helping in the analysis and interpretation of paleoclimate data. PMIP is initially focussing on the mid- Holocene (6,000 years before present) and the Last Glacial Maximum (21,000 yr BP) because climatic conditions were remarkably different at those times, and because relatively large amounts of paleoclimate data exist for these periods. The major "forcing" factors are also relatively well known at these times. Some of
25-499: The paleoclimate features simulated by models in previous studies seem consistent with paleoclimatic data, but others do not. One of the goals of PMIP is to determine which results are model-dependent. The PMIP experiments are limited to studying the equilibrium response of the atmosphere (and such surface characteristics as snow cover) to changes in boundary conditions (e.g., insolation, ice-sheet distribution, CO 2 concentration, etc.) [1] This paleoclimatology -related article
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