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

G. Vulpiani (1) , F. S. Marzano (1) , V. Chandrasekar (2) , R. Uijlenhoet (3)

1 Dipartimento di Ingegneria Elettrica ? Centro di Eccellenza CETEMPS
2 CSU - Colorado State University [Fort Collins]
3 Department of Environmental Sciences

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.

Domaines: Sciences de la Terre

G. Vulpiani, F. S. Marzano, V. Chandrasekar, R. Uijlenhoet. Model-based iterative approach to polarimetric radar rainfall estimation in presence of path attenuation. Advances in Geosciences, 2005, 2, pp.51-57. ⟨hal-00296834⟩