Large repositories of historical data about the natural world present novel opportunities to assist decision makers and problem solvers. Past cases or scenarios that are similar to a problem of current interest can often provide valuable insights or suggest solutions to the problem. We are constructing a case retrieval system that is intended to give meteorologists fast access to relevant past ...

The remote sensing of atmospheric trace gases investigates dynamic, microphysical and chemical processes in the Earth’s atmosphere, with the goal to understand, quantify and predict its natural variability and long-term changes. Accurate measurements of atmospheric trace gases from various observational platforms (ground-based stations, air craft, balloons, satellites) provide the data that are...

Large archives of historical meteorological data offer novel opportunities for weather forecasting and meteorological research. However, effective exploitation of such an archive is impeded by the logistics of managing large volumes of data and the difficulty of identifying relevant data. MetVUW Workbench is a case retriever that allows meteorologists to identify relevant past weather situation...

Meteorological data mining is a form of data mining concerned with finding hidden patterns inside largely available meteorological data, so that the information retrieved can be transformed into usable knowledge. Weather is one of the meteorological data that is rich by important knowledge. In this paper we try to extract useful knowledge from weather daily historical data collected locally at ...