Temporal and spatial Bayesian network modelling for improved fog forecasting. This project aims to improve the accuracy of fog forecasting by explicitly modelling the spatial and temporal uncertainties surrounding fog formation. It is expected weather forecast services will adopt our approach to improve their predictions of fog, which will in turn help transport companies save costs, cut emissions and improve safety.
IMPROVING METEOROLOGICAL FORECASTING PRACTICE WITH KNOWLEDGE MANAGEMENT SYSTEMS. This research aims to improve meteorological services through the application of knowledge management to the forecast process. A comprehensive framework of knowledge management will be developed that includes models of forecasters? explicit, tacit and experiential knowledge. Such models allow forecasters to share knowledge and learn from their collective experience. The development of computer based support systems, ....IMPROVING METEOROLOGICAL FORECASTING PRACTICE WITH KNOWLEDGE MANAGEMENT SYSTEMS. This research aims to improve meteorological services through the application of knowledge management to the forecast process. A comprehensive framework of knowledge management will be developed that includes models of forecasters? explicit, tacit and experiential knowledge. Such models allow forecasters to share knowledge and learn from their collective experience. The development of computer based support systems, based on this framework, will enhance the Bureau of Meteorology's ability to compete internationally in the provision of complete forecasting systems. Generalising the outcomes will provide industry with the means to adopt knowledge management practices and enhance its ability to participate in the knowledge economy. Read moreRead less