Improving the accuracy of rainfall rates from optical satellite sensors with machine learning - A random forests-based approach applied to MSG SEVIRI

However, the results show that with the newly developed method it is possible to assign rainfall rates with good accuracy even on an hourly basis. Furthermore, the rainfall rates can be assigned during day, night and twilight conditions which enables the estimation of rainfall rates 24 h day.