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Inference Versus Imprint In Climate Modeling

Author

Listed:
  • A. J. PALMER

    (NOAA Environmental Technology Laboratory, 325 Broadway, Boulder, CO 80305, USA)

  • T. L. SCHNEIDER

    (NOAA Environmental Technology Laboratory, 325 Broadway, Boulder, CO 80305, USA)

  • L. A. BENJAMIN

    (NOAA Forecast Systems Laboratory, 325 Broadway, Boulder, CO 80305, USA)

Abstract

A statistical inference method known as ε-machine reconstruction is introduced as a modeling procedure for turbulent transport processes in a climate model. Observational data on the atmospheric boundary layer obtained with a radar wind profiler, a radio-acoustic sounding system, and a Raman lidar system was assembled to construct this type of model for use within the unresolved (sub-grid) scales of a numerical climate model. An ensemble of 500 single-column model runs using the inferred sub-grid turbulent transport models demonstrated comparable performance to an identical ensemble of runs using the standard, eddy-diffusivity parametrizations for the turbulent transport. The primary advantages of the ε-machine models are that they are a less biased modeling framework for complex processes such as turbulent transport, and that they are more memory efficient.

Suggested Citation

  • A. J. Palmer & T. L. Schneider & L. A. Benjamin, 2002. "Inference Versus Imprint In Climate Modeling," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 73-89.
    • Handle: RePEc:wsi:acsxxx:v:05:y:2002:i:01:n:s021952590200050x
    DOI: 10.1142/S021952590200050X
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