Title :
Detection of rain/no rain condition on the ground based on radar observations
Author :
Liu, H. ; Chandrasekar, V. ; Gorgucci, E.
Author_Institution :
Colorado State Univ., Fort Collins, CO, USA
fDate :
3/1/2001 12:00:00 AM
Abstract :
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
Keywords :
meteorological radar; rain; remote sensing by radar; Melbourne; USA; WSR-88D radar; central Florida; radar data; radar observations; radar rainfall algorithms; radial basis function neural network-based scheme; rain/no rain condition; vertical profiles; wet ground; Electromagnetic scattering; Instruments; Meteorological radar; Neural networks; Radar applications; Radar detection; Radar measurements; Rain; Reflectivity; Transmitters;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
