Improving radar observations of precipitation with a Meteosat neural network classifier

摘要

Over the last few years, the potential for the application of pattern recognition techniques (including neural networks), has been investigated at The Met Office, with the aim of improving the use of satellite imagery in numerical weather prediction and in other quantitative forecasting systems. Neural networks, for example, enable the use of diverse inputs, are capable of learning highly nonlinear discriminant functions, and can be very fast when used operationally.