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Title: A comparison of single column model simulations of summertime midlatitude continental convection

Journal Article · · Journal of Geophysical Research
DOI:https://doi.org/10.1029/1999JD900971· OSTI ID:20215811
 [1];  [2];  [2];  [3];  [2];  [4];  [5];  [6];  [7];  [8]
  1. Pacific Northwest National Laboratory, Richland, Washington (United States)
  2. Department of Atmospospheric Science, Colorado State University, Fort Collins, Colorado (United States)
  3. Lawrence Livermore National Laboratory, Livermore, California (United States)
  4. National Center for Atmospheric Research, Boulder, Colorado (United States)
  5. Scripps Institution of Oceanography, University of California, La Jolla (United States)
  6. Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey (United States)
  7. Department of Meterology, University of Utah, Salt Lake City, Utah (United States)
  8. Department of Physics and Oceanography, Dalhousie University, Halifax, Nova Scotia (Canada)

Eleven different single-column models (SCMs) and one cloud ensemble model (CEM) are driven by boundary conditions observed at the Atmospheric Radiation Measurement (ARM) program southern Great Plains site for a 17 day period during the summer of 1995. Comparison of the model simulations reveals common signatures identifiable as products of errors in the boundary conditions. Intermodel differences in the simulated temperature, humidity, cloud, precipitation, and radiative fluxes reflect differences in model resolution or physical parameterizations, although sensitive dependence on initial conditions can also contribute to intermodel differences. All models perform well at times but poorly at others. Although none of the SCM simulations stands out as superior to the others, the simulation by the CEM is in several respects in better agreement with the observations than the simulations by the SCMs. Nudging of the simulated temperature and humidity toward observations generally improves the simulated cloud and radiation fields as well as the simulated temperature and humidity but degrades the precipitation simulation for models with large temperature and humidity biases without nudging. Although some of the intermodel differences have not been explained, others have been identified as model problems that can be or have been corrected as a result of the comparison. (c) 2000 American Geophysical Union.

OSTI ID:
20215811
Journal Information:
Journal of Geophysical Research, Vol. 105, Issue D2; Other Information: PBD: 27 Jan 2000; ISSN 0148-0227
Country of Publication:
United States
Language:
English

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