Abstract

AbstractThe atmospheric nocturnal stable boundary layer (SBL) can be classified into two distinct regimes: the weakly SBL (wSBL) with sustained turbulence and the very SBL (vSBL) with weak and intermittent turbulence. A hidden Markov model (HMM) analysis of the three-dimensional state-variable space of Reynolds-averaged mean dry static stability, mean wind speed, and wind speed shear is used to classify the SBL into these two regimes at nine different tower sites, in order to study long-term regime occupation and transition statistics. Both Reynolds-averaged mean data and measures of turbulence intensity (eddy variances) are separated in a physically meaningful way. In particular, fluctuations of the vertical wind component are found to be much smaller in the vSBL than in the wSBL. HMM analyses of these data using more than two SBL regimes do not result in robust results across measurement locations. To identify which meteorological state variables carry the information about regime occupation, the HMM analyses are repeated using different state-variable subsets. Reynolds-averaged measures of turbulence intensity (such as turbulence kinetic energy) at any observed altitude hold almost the same information as the original set, without adding any additional information. In contrast, both stratification and shear depend on surface information to capture regime transitions accurately. Use of information only in the bottom 10 m of the atmosphere is sufficient for HMM analyses to capture important information about regime occupation and transition statistics. It follows that the commonly measured 10-m wind speed is potentially a good indicator of regime occupation.

Highlights

  • Observations of the nocturnal stable boundary layer (SBL) show abrupt changes of physical properties, motivating a classification into physically distinct regimes

  • Using a statistical approach known as hidden Markov model (HMM) analysis, this study separated two distinct regimes in the state space spanned by Reynolds-averaged mean values of the mean wind speed, wind speed shear, and potential temperature difference measured on the 213-m tower of KNMI Cabauw observatory

  • While for simplicity we often refer to the weakly stable boundary layer (wSBL)-to-very stable boundary layer (vSBL) transition as ‘‘turbulence collapse,’’ it should be kept in mind that while turbulence intensity is normally small in the vSBL this state is characterized by intermittent turbulent bursts

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Summary

Introduction

Observations of the nocturnal stable boundary layer (SBL) show abrupt changes of physical properties, motivating a classification into physically distinct regimes. Using a statistical approach known as hidden Markov model (HMM) analysis, this study separated two distinct regimes in the state space spanned by Reynolds-averaged mean values of the mean wind speed, wind speed shear (between 200 and 10 m), and potential temperature difference (between 200 and 2 m) measured on the 213-m tower of KNMI Cabauw observatory Their analysis of the Reynolds-averaged mean states showed a clear separation of turbulent fluxes in a one year sample into two distinct regimes: a wSBL with strong TKE and strong vertical turbulent transport in contrast to a vSBL with weak TKE and weak vertical turbulent transport At the Hamburg site we exclude turbulence data for north winds (3358–258) because of clear evidence of mast

Brief summary of the hidden Markov model
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