Detection of rain/no rain condition on the ground based on radar observations

Detection of rain/no-rain condition on the ground is important for application of radar rainfall algorithms. A radial basis function neural network-based scheme for rain/no-rain determination on the ground using vertical profiles of radar data is described. Evaluation based on WSR-88D radar over central Florida indicates that the rain/no-rain condition can be inferred fairly accurately