![]() These meteorological programs are focused on assessing observing systems, sharing data processing methods, creating forecasting products, and promoting research, development, and specialized training. The growing number of studies with promising results and the ongoing development of quality control procedures and software packages increases the interest in PWS data and their usage for specific applications.ĮUMETNET is a network of 31 European National Meteorological & Hydrological services (NMHS) intended to organize co-operative programs between its members (, accessed on 25 November 2022). Some NMHS experimented with PWS data, others have already incorporated PWS measurements into their operational workflows. ![]() ![]() In addition, this paper provides an overview about the data quality challenges of PWS data, the developed quality control (QC) approaches and openly available QC tools. Within these efforts, we have collected information about the current interest in PWS across NMHSs and their experiences so far. This is why EUMETNET, a community of European NMHS, decided to enhance knowledge exchange about PWS between NMHSs. Nevertheless, this type of data can potentially be used to supplement conventional weather station networks operated by National Meteorological & Hydrological Services (NMHS), since the demand for high-resolution meteorological applications is growing. However, good data quality cannot be assured and thorough quality control is crucial before the data can be utilized. This leads to an unprecedented high density of weather observations, which could help monitor and understand small-scale weather phenomena. The number of people owning a private weather station (PWS) and sharing their meteorological measurements online is growing worldwide.
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