English, Article edition: INFERENCE VERSUS IMPRINT IN CLIMATE MODELING A. J. PALMER; T. L. SCHNEIDER; L. A. BENJAMIN

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Physical Description
  • article
Language
  • English

Edition details

Title
  • INFERENCE VERSUS IMPRINT IN CLIMATE MODELING
Author
  • A. J. PALMER
  • T. L. SCHNEIDER
  • L. A. BENJAMIN
Physical Description
  • article
Notes
  • 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.
  • Climate modeling, statistical inference, sub-grid parametrization, ε-machine
  • RePEc:wsi:acsxxx:v:05:y:2002:i:01:p:73-89
Language
  • English
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