Goliger, Adam MKruger, ARetief, J2013-11-192013-11-192013-07Goliger, A, Kruger, A and Retief, J. 2013. Representivity of wind measurements for design wind speed estimations. In: European-African Conference on Wind Engineering 2013, Robinson College, Cambridge, July 2013http://hdl.handle.net/10204/7072European-African Conference on Wind Engineering 2013, Robinson College, Cambridge, July 2013.The siting of wind measurement infrastructure has implications on the development of wind speed statistics for the design of the built environment. The South African Weather Service (SAWS) wind measurement network is considered to be typical of instrumentation sited according to World Meteorological Organization (WMO) requirements. With the advent of automatic weather station technology several decades ago, wind measurements have become much more cost-effective. While previously wind measurements were mostly restricted to airports with inherent good exposure, this is no longer the case. The impact of the positioning of anemometers on the representivity of the recorded data is demonstrated, motivating additional guidelines for the placement of wind recording infrastructure.enWind speed estimationsWind measurementsWind recording infrastructureWorld Meteorological OrganizationWMOWind engineeringConference PresentationGoliger, A. M., Kruger, A., & Retief, J. (2013). Representivity of wind measurements for design wind speed estimations. http://hdl.handle.net/10204/7072Goliger, Adam M, A Kruger, and J Retief. "Representivity of wind measurements for design wind speed estimations." (2013): http://hdl.handle.net/10204/7072Goliger AM, Kruger A, Retief J, Representivity of wind measurements for design wind speed estimations; 2013. http://hdl.handle.net/10204/7072 .TY - Conference Presentation AU - Goliger, Adam M AU - Kruger, A AU - Retief, J AB - The siting of wind measurement infrastructure has implications on the development of wind speed statistics for the design of the built environment. The South African Weather Service (SAWS) wind measurement network is considered to be typical of instrumentation sited according to World Meteorological Organization (WMO) requirements. With the advent of automatic weather station technology several decades ago, wind measurements have become much more cost-effective. While previously wind measurements were mostly restricted to airports with inherent good exposure, this is no longer the case. The impact of the positioning of anemometers on the representivity of the recorded data is demonstrated, motivating additional guidelines for the placement of wind recording infrastructure. DA - 2013-07 DB - ResearchSpace DP - CSIR KW - Wind speed estimations KW - Wind measurements KW - Wind recording infrastructure KW - World Meteorological Organization KW - WMO KW - Wind engineering LK - https://researchspace.csir.co.za PY - 2013 T1 - Representivity of wind measurements for design wind speed estimations TI - Representivity of wind measurements for design wind speed estimations UR - http://hdl.handle.net/10204/7072 ER -