STABLE BOUNDARY-LAYERS - OBSERVATIONS, MODELS AND VARIABILITY .2. DATA-ANALYSIS AND AVERAGING EFFECTS

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.