Statistical technique for automatically cleaning erroneous data from weather-balloon observations

Twice a day, weather balloons are released into the atmosphere from 700 locations around the world to observe conditions in the upper atmosphere. Since the 1920s, there have been tens of millions of these radiosonde launches, producing an enormous archive of data that is critical to weather forecasting and climate modeling. In such a large data set, inevitable errors can significantly affect modeling outcomes.