2005
DOI: 10.1007/s00382-005-0042-3
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EMIC Intercomparison Project (EMIP–CO2): comparative analysis of EMIC simulations of climate, and of equilibrium and transient responses to atmospheric CO2 doubling

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Cited by 108 publications
(85 citation statements)
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“…The thermal expansion of the ocean has been investigated by a spectrum of climate models of different complexity, ranging from zero-dimensional diffusion models (12,13) via Earth System Models of Intermediate Complexity (EMIC) (6,14) to comprehensive general circulation models (15,16). Although uncertainty remains, especially owing to uncertainty in the ocean circulation and thereby the distribution of heat within the ocean, the physical processes are relatively well understood even if not fully represented in all models.…”
Section: Modeled Components Of Sea Levelmentioning
confidence: 99%
“…The thermal expansion of the ocean has been investigated by a spectrum of climate models of different complexity, ranging from zero-dimensional diffusion models (12,13) via Earth System Models of Intermediate Complexity (EMIC) (6,14) to comprehensive general circulation models (15,16). Although uncertainty remains, especially owing to uncertainty in the ocean circulation and thereby the distribution of heat within the ocean, the physical processes are relatively well understood even if not fully represented in all models.…”
Section: Modeled Components Of Sea Levelmentioning
confidence: 99%
“…Though a wide range of such models exists with varying emphasis on the complexity of individual components (Petoukhov et al, 2005), all have serious deficiencies. These range from missing processes, such as the dynamic evolution of the radiative effect of clouds and transport of sea-ice, to significant misfits in predicted monthly mean temperature and precipitation for the present-day climate.…”
Section: Earth System Models Of Intermediate Complexity (Emic) Providmentioning
confidence: 99%
“…as function of period or wavelength only) maxima from long-term (∼30 days period) and synoptic-scale (2-6 days period) fields are not well separated (Van der Hoven, 1957;Oort and Taylor, 1969;Vinnichenko, 1970;Mitchell, 1976), in 2-D spectra (versus both period and wavelength) the gap is more pronounced (Fraedrich and Böttger, 1978). Even more, in a 3-D power spectrum, with phase velocity as a third dimension, the long-term field and the field of transient synoptic scale eddies form distinct and well-separated maxima (Petoukhov, 1991;Petoukhov et al, 1998Petoukhov et al, , 2003, indicating that they are governed by different physical processes. Therefore, splitting V into a large-scale and synoptic component and parameterizing the ensemble characteristics of the synoptic scale eddies in terms of the long-term field is principally allowed.…”
Section: Governing Equationsmentioning
confidence: 99%
“…This different approach allows much coarser spatial and temporal discretizations, making SDAMs computationally efficient and allowing climate simulations up to multi-millennia timescales Bauer et al, 2004). For this reason, several of the Earth System Models of Intermediate Complexity (EMICs) (Claussen et al, 2002;Petoukhov et al, 2005), including Climber-2 (Petoukhov et al, 2000;Ganopolski et al, 2001), IAP RAS (Petoukhov et al, 1998;Mokhov et al, 2002;Eliseev et al, 2008), MIT (Prinn et al, 1999;Kamenkovich et al, 2002) and UVic (Weaver et al, 2001), use statistical-dynamical atmosphere modules.…”
Section: Introductionmentioning
confidence: 99%