Using Stats to Crowdsource the Weather

The European Meteorological Society just awarded an ACEMS researcher and her colleague in the Netherlands its top prize for innovation in meteorology. Their project sets out to develop new statistical methods to quality control wind data captured by amateur, or citizen, scientists and integrate that data with wind observations from official weather stations. That could give forecasters and others who need information on the weather a lot more data to base their decisions on. In this episode, we explore how they plan to use stats to bring credibility to crowdsourced weather data. The Random Sample is a podcast by the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers. In this show, we share stories about mathematics, statistics and the people involved. To learn more about ACEMS, visit https://acems.org.au.