1980
DOI: 10.1175/1520-0477(1980)061<0962:rowoaa>2.0.co;2
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Representativeness of Wind Observations at Airports

Abstract: Wind information for use at airports can be called representative if it provides an optimal estimate of wind variations to be expected over the runway. It is shown that a single anemometer at a nonideal but reasonable location will usually provide adequate observational data to allow such a representative wind estimate after proper correction and data handling. It follows from the properties of the surface wind field and of the instruments used to measure it that aeronautical wind averaging periods should be a… Show more

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Cited by 74 publications
(32 citation statements)
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“…These low values, however, are likely too small for snow-covered land surface, where larger roughness lengths reduce the aerodynamic resistance thereby increasing v d (Gallagher, 2002). The roughness length is 0.005 m for sea ice and 0.03-0.25 m for snow-covered land surface with grass and scattered obstacles (Wieringa, 1980). As a result, v d is larger over a snowcovered land surface than over sea ice.…”
Section: Gas-flaring Emissions Of Bcmentioning
confidence: 99%
“…These low values, however, are likely too small for snow-covered land surface, where larger roughness lengths reduce the aerodynamic resistance thereby increasing v d (Gallagher, 2002). The roughness length is 0.005 m for sea ice and 0.03-0.25 m for snow-covered land surface with grass and scattered obstacles (Wieringa, 1980). As a result, v d is larger over a snowcovered land surface than over sea ice.…”
Section: Gas-flaring Emissions Of Bcmentioning
confidence: 99%
“…To obtain more accurate simulation results of the wind environment, the total simulation time is set to 44 h [32] Table 4. According to the Guide to Meteorological Instruments and Methods of Observation of World Meteorological Organization [33], the roughness length at the measurement site in this paper is 0.1 m, where the terrain feature is cultivated area, low crops, with obstacles of height (H) separated by at least 20 H. In each model, about 60 data collection spots are present: these are arranged evenly. …”
Section: Input Data Of the Modelmentioning
confidence: 99%
“…Walker and Wilson (1990b) showed how meteorological windspeeds measured remotely from the building site can be converted to an eaves height windspeed at the building assuming a power law boundary layer wind velocity profile. Wieringa (1980) recommended using the wind speed at the top of the constant shear stress surface layer when converting wind speeds from one location to another. Wieringa estimated this height to be about 80m plus the area-averaged height δz , of the roughness elements between the two locations.…”
Section: Adjusting Windspeed For Local Terrainmentioning
confidence: 99%