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Title: Climate simulations and projections with a super-parameterized climate model

The mean climate and its variability are analyzed in a suite of numerical experiments with a fully coupled general circulation model in which subgrid-scale moist convection is explicitly represented through embedded 2D cloud-system resolving models. Control simulations forced by the present day, fixed atmospheric carbon dioxide concentration are conducted using two horizontal resolutions and validated against observations and reanalyses. The mean state simulated by the higher resolution configuration has smaller biases. Climate variability also shows some sensitivity to resolution but not as uniform as in the case of mean state. The interannual and seasonal variability are better represented in the simulation at lower resolution whereas the subseasonal variability is more accurate in the higher resolution simulation. The equilibrium climate sensitivity of the model is estimated from a simulation forced by an abrupt quadrupling of the atmospheric carbon dioxide concentration. The equilibrium climate sensitivity temperature of the model is 2.77 °C, and this value is slightly smaller than the mean value (3.37 °C) of contemporary models using conventional representation of cloud processes. As a result, the climate change simulation forced by the representative concentration pathway 8.5 scenario projects an increase in the frequency of severe droughts over most of the Northmore » America.« less
 [1] ;  [1]
  1. George Mason Univ., Fairfax, VA (United States)
Publication Date:
Report Number(s):
Journal ID: ISSN 1364-8152
Grant/Contract Number:
Published Article
Journal Name:
Environmental Modelling and Software
Additional Journal Information:
Journal Volume: 60; Journal Issue: C; Journal ID: ISSN 1364-8152
Research Org:
George Mason Univ., Fairfax, VA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
58 GEOSCIENCES; super-parameterization; global modeling; climate sensitivity; climate change
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1163540