Representativity of Extreme Wind Data

Wieringa, J.

doi:10.1007/978-94-015-8680-1_2

Cited by 3 publications

(2 citation statements)

References 40 publications

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“…Commencing with the idea that the ratio of the maximum gust and the mean wind speed ("gust factor") is a measure of the intensity of turbulence, Wieringa (1973Wieringa ( , 1976Wieringa ( , 1977Wieringa ( , 1980aWieringa ( , 1995 developed a method for estimating the friction velocity and a representative roughness length from gustiness observations during strong winds. In this method the dependence of gust maxima on anemometry dynamics, on averaging periods and on the analog recording method was accounted for.…”

Section: Terrain Roughnessmentioning

confidence: 99%

Atmospheric boundary layer research at Cabauw

Van Ulden,

Wieringa

1996

Boundary-Layer Meteorol

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At Cabauw, The Netherlands, a 213 m high mast specifically built for meteorological research has been operational since 1973. Its site, construction, instrumentation and observation programs are reviewed. Regarding analysis of the boundary layer at Cabauw, the following subjects are discussed:terrain roughness; -Monin-Obukhov theory in practice; the structure of stable boundary layers; observed evolution of fog layers; inversion rise and early morning entrainment; use of the geostrophic wind as a predictor for wind profiles; -height variation of wind climate statistics; air pollution applications: long range transport and short range dispersion; -dependence of sound wave propagation on boundary-layer structure; testing of weather and climate models.

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Section: Terrain Roughnessmentioning

confidence: 99%

Atmospheric boundary layer research at Cabauw

Van Ulden,

Wieringa

1996

Boundary-Layer Meteorol

Self Cite

181

127

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“…Wind speeds vary greatly in coastal regions for two reasons as well: (1) the land-ocean interface creates turbulence and deflection when the wind moves across a surface discontinuity (Wieringa, 1973(Wieringa, , 1986; and (2) wind observation stations rarely exist over water, decreasing station density (MacEachren and Davidson, 1987;Wieringa, 1997). Because elevation, aspect, and land cover significantly affect surface-level wind speeds and are representative of landscape heterogeneity, consideration of these variables may have the potential to improve interpolation results through reduction in high-error stations.…”

Section: Introductionmentioning

confidence: 99%