Boundary-Layer Meteorology

, Volume 75, Issue 1–2, pp 1–24 | Cite as

Stable boundary layers: observations, models and variability part II: Data analysis and averaging effects

  • S. H. Derbyshire


As argued in Part I (Derbyshire, 1995), variability is a key issue in stable boundary layers, and differences in variability between observations and idealized models may imply sytematic biases. Here we discuss how data analysis can be geared to allow for variability and thus consistency with models. Instrumental errors, smoothing methods and vertical discretization are considered. We then show how statistical averaging broadly improves the agreement of ‘heterogeneous’ results in Part I with the Brost-Wyngaard closure. Recommendations are made for the information needed to analyze apparent differences between ‘homogeneous’ and ‘heterogeneous’ stable boundary layers.


Data Analysis Boundary Layer Statistical Average Idealize Model Apparent Difference 
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Copyright information

© British Crown Copyright 1995

Authors and Affiliations

  • S. H. Derbyshire
    • 1
  1. 1.MRU CardingtonShortstownEngland

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