http://www.cnr.it/ontology/cnr/individuo/prodotto/ID44974
Attenuation and Differential Attenuation Correction of C-Band Radar Observations Using a Fully Self-Consistent Methodology (Articolo in rivista)
- Type
- Label
- Attenuation and Differential Attenuation Correction of C-Band Radar Observations Using a Fully Self-Consistent Methodology (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/LGRS.2007.894162 (literal)
- Alternative label
E. Gorgucci; L. Baldini (2007)
Attenuation and Differential Attenuation Correction of C-Band Radar Observations Using a Fully Self-Consistent Methodology
in IEEE geoscience and remote sensing letters (Print); IEEE-Institute Of Electrical And Electronics Engineers Inc., Piscataway (Stati Uniti d'America)
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- E. Gorgucci; L. Baldini (literal)
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- http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4156156&isnumber=4156144 (literal)
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- Istituto di Scienze dell'Atmosfera e del Clima, Consiglio Nazionale delle Ricerche, Rome, Italy (literal)
- Titolo
- Attenuation and Differential Attenuation Correction of C-Band Radar Observations Using a Fully Self-Consistent Methodology (literal)
- Abstract
- A new methodology for correcting the reflectivity factor and differential reflectivity at C-band for rain attenuation is presented. Following a methodology already proposed for X-band, new algorithms are developed based on a full self-consistency condition, describing the interrelation between polarimetric measurements and attenuation along the rain medium. The performance of the algorithms for application to C-band dual-polarization radars is evaluated extensively using radar data collected by the Polar 55C in the Rome region (Italy). Quantitative evaluation of attenuation and differential attenuation estimates is conducted based on C-band dual-polarization observations generated from S-band radar measurements. Evaluation of the new full self-consistency algorithms shows a significant improvement in performance. A key result of this iterative technique is the capability to remove any systematic bias from attenuation and differential attenuation estimates that could arise from drop size distribution variability (literal)
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