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

نویسندگان

  • Hongping Liu
  • V. Chandrasekar
  • Eugenio Gorgucci
چکیده

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

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عنوان ژورنال:
  • IEEE Trans. Geoscience and Remote Sensing

دوره 39  شماره 

صفحات  -

تاریخ انتشار 2001