This research aims to improve meteorological decision making through the application of knowledge manage- ment to the forecasting process. The aim of the research is not to solve the problems of forecasting but to provide appropriate support to enable forecasters to spend more time reflecting on the meteorological situation. To this end, we are engaged in change of the IT paradigm in this problem domain from the one based on scientific normative models to intelligent support. This change of paradigm allows forecasters not only perform the task but also to consistently share knowledge and learn from their collective experience. The paper also presents a system that allows diverse technologies to be employed in providing decision support for meteorological forecasting
