The probability distribution of land surface wind speeds

Adam H. Monahan, Yanping He, Norman Mcfarlane, Aiguo Dai

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

The probability density function (pdf) of land surface wind speeds is characterized using a global network of observations. Daytime surface wind speeds are shown to be broadly consistent with the Weibull distribution, while nighttime surface wind speeds are generally more positively skewed than the corresponding Weibull distribution (particularly in summer). In the midlatitudes, these strongly positive skewnesses are shown to be generally associated with conditions of strong surface stability and weak lower-tropospheric wind shear. Long-term tower observations from Cabauw, the Netherlands, and Los Alamos, New Mexico, demonstrate that lower-tropospheric wind speeds become more positively skewed than the corresponding Weibull distribution only in the shallow (~50 m) nocturnal boundary layer. This skewness is associated with two populations of nighttime winds: (i) strongly stably stratified with strong wind shear and (ii) weakly stably or unstably stratified with weak wind shear. Using an idealized two-layer model of the boundary layer momentum budget, it is shown that the observed variability of the daytime and nighttime surface wind speeds can be accounted for through a stochastic representation of intermittent turbulent mixing at the nocturnal boundary layer inversion.

Original languageEnglish
Pages (from-to)3892-3909
Number of pages18
JournalJournal of Climate
Volume24
Issue number15
DOIs
StatePublished - Aug 2011

Keywords

  • Boundary layer
  • Inversions
  • Land surface
  • Probability forecasts/models/distributions
  • Stability
  • Wind shear

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