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

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评估众包城市风数据的潜力和应用

众包的使用（通过Internet获取大量数据）在城市气象学中具有巨大的价值。众包已用于从移动电话或个人气象站（PWS）等来源获取城市气温，气压和降水量数据，但到目前为止，尚未对风数据进行研究。由于观测结果在很大程度上取决于位置和仪器设置，因此城市风的行为高度可变且难以测量。众包可以提供密集的风观测网络，并可以洞察城市风的空间格局。在这项研究中，我们针对农村和城市站点的参考评估了流行的“ Netatmo” PWS风速仪的技巧。随后，我们使用来自荷兰阿姆斯特丹的60个PWS的众包风速观测资料，分析不同地方气候区（LCZ）的风速分布。Netatmo PWS风速仪似乎系统地低估了风速，而下雨或相对湿度高的天气会降低测量质量。因此，我们开发了质量保证（QA）协议以更正这些错误的PWS测量。所应用的QA协议将PWS数据极大地改进到可以用来推断城市或附近地区风速的概率密度分布的程度。该密度分布由两个威布尔分布组成，而不是用于农村风速观测的典型的单个威布尔分布。Netatmo PWS风速仪测量接近零风速的能力有限，这导致QA协议在风速非常低的时期表现不佳。