Automatic Rain and Wind Measurement Fault Identification in Mesoscale Weather Station Networks

Future increase in short-term weather forecasting, i.e. nowcasting, products requires denser surface weather station networks than in before. Thus number of measurement stations and points increases also and their fault identification must be more accurate - the fault identification tests must be tailor-made for dense measurement networks. This paper proposes several automatic rain and wind measurement fault identification algorithms for surface weather station networks with station spacing around 10-20 km.