Polarimetric Weather Radar Retrieval of Raindrop Size Distribution by Means of a Regularized Artificial Neural Network

@article{Vulpiani2006PolarimetricWR,
  title={Polarimetric Weather Radar Retrieval of Raindrop Size Distribution by Means of a Regularized Artificial Neural Network},
  author={Gianfranco Vulpiani and Frank S. Marzano and V. Chandrasekar and Alexis Berne and Remko Uijlenhoet},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2006},
  volume={44},
  pages={3262-3275}
}
The raindrop size distribution (RSD) is a critical factor in estimating rain intensity using advanced dual-polarized weather radars. A new neural-network algorithm to estimate the RSD from S-band dual-polarized radar measurements is presented. The corresponding rain rates are then computed assuming a commonly used raindrop diameter speed relationship. Numerical simulations are used to investigate the efficiency and accuracy of this method. A stochastic model based on disdrometer measurements is… CONTINUE READING

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