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

G. Vulpiani, F.S. Marzano, V. Chandrasekar, R. Uijlenhoet

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

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
Original languageEnglish
Pages (from-to)51-57
JournalAdvances in Geosciences
Volume2
Publication statusPublished - 2005

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