Data from AIMS weather stations are subjected to two quality control processes. \nThe first quality control process involves applying automatic rules to the raw data to flag data points that are unlikely to be correct. These rules flag: \n- Values frequently associated with sensors which are faulty, in need of a service or are not working properly. \n- Values outside believable ranges. \n- Values that are out of range compared to other nearby stations. \nThe second quality control process involves manual visualisation of all data. Data from all sensors are individually graphed and compared to sensors on the same station (e.g. water temperature 1 and water temperature 2), calibrated temperature loggers, predicted values (e.g. PAR) or compare...