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Model-based iterative approach to polarimetric radar rainfall estimation in presence of path attenuation
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.
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Citation: Vulpiani, G., Marzano, F. S., Chandrasekar, V., and Uijlenhoet, R.: Model-based iterative approach to polarimetric radar rainfall estimation in presence of path attenuation, Adv. Geosci., 2, 51-57, 2005. Bibtex EndNote Reference Manager
