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| Titel |
Model-based iterative approach to polarimetric radar rainfall estimation in presence of path attenuation |
| VerfasserIn |
G. Vulpiani, F. S. Marzano, V. Chandrasekar, R. Uijlenhoet |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: 6th Plinius Conference on Mediterranean Storms (2004) ; Nr. 2 (2005-03-29), S.51-57 |
| Datensatznummer |
250000296
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| Publikation (Nr.) |
 copernicus.org/adgeo-2-51-2005.pdf |
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| Zusammenfassung |
| 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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