Automatic RainandWindMeasurement Fault Identification inMesoscale WeatherStation Networks

Future increase inshort-term weatherforecasting, i.e. nowcasting, products requires densersurface weather station networks thaninbefore. Thusnumberofmeasurement stations and points increases alsoandtheir fault identification mustbemore accurate - thefault identification tests mustbetailor-made fur densemeasurement networks. Thispaperproposes several automatic rainand windmeasurement fault identification algorithmsfor surface weather station networks with station spacing around 10-20 km.