Articles | Volume 2
Adv. Geosci., 2, 51–57, 2005
https://doi.org/10.5194/adgeo-2-51-2005
Adv. Geosci., 2, 51–57, 2005
https://doi.org/10.5194/adgeo-2-51-2005

  29 Mar 2005

29 Mar 2005

Model-based iterative approach to polarimetric radar rainfall estimation in presence of path attenuation

G. Vulpiani1, F. S. Marzano1, V. Chandrasekar2, and R. Uijlenhoet3 G. Vulpiani et al.
  • 1Dipartimento di Ingegneria Elettrica – Centro di Eccellenza CETEMPS, Università dell’Aquila, Italy
  • 2Colorado State University, Fort Collins, Colorado, USA
  • 3Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands

Abstract. A new model-based iterative technique to correct for attenuation and differential attenuation and retrieve rain rate, based on a neural-network scheme and a differential phase constraint, is presented. Numerical simulations are used to investigate the efficiency and accuracy of this approach named NIPPER. The simulator is based on a T-matrix solution technique, while precipitation is characterized with respect to shape, raindrop size distribution and orientation. A sensitivity analysis is performed in order to evaluate the expected errors of this method. The performance of the proposed methodology on radar measurements is evaluated by using one-dimensional Gaussian shaped rain cell models and synthetic radar data derived from disdrometer measurements. Numerical results are discussed in order to evaluate the robustness of the proposed technique.