Hidden information within series of measurements ? four examples from atmospheric science

Whether in classical networks such as meteorological networks of in more recent ones of atmospheric chemistry, a wealth of data is at hand. These data have been evaluated in a manner depending on the purpose of the network. However, much more information is hidden in these time series and waits for discovery. Only the imagination of scientists is needed. Four examples are given which lead to new information about the atmospheric aerosol and the behaviour of the atmosphere. These examples are: “Atmospheric turbidity from sunshine recordings”, “Meteorological drainage area from the variance of observations”, “Location of point sources from air mass trajectories”, and “Total vertical ozone fro…