Assessing the potential and application of crowdsourced urban wind data

摘要: The use of crowdsourcing – obtaining large quantities data through the Internet has been great value in urban meteorology. Crowdsourcing used to obtain air temperature, pressure, and precipitation from sources such as mobile phones or personal weather stations (PWSs), but so far wind have not researched. Urban behaviour is highly variable challenging measure, since observations strongly depend on location instrumental set-up. can provide a dense network may give insight into spatial pattern wind. In this study, we evaluate skill popular “Netatmo” PWS anemometer against reference for rural an site. Subsequently, crowdsourced speed 60 PWSs Amsterdam, Netherlands, analyse distributions different Local Climate Zones (LCZs). Netatmo appears systematically underestimate speed, episodes with rain high relative humidity degrade measurement quality. Therefore, developed quality assurance (QA) protocol correct measurements these errors. applied QA improves point where they be infer probability density distribution city neighbourhood. This consists combination two Weibull distributions, rather than typical single observations. limited capability measure near-zero causes perform poorly periods very low speeds. However, results year-long climatology are satisfactory, well shorter period higher