http://www.cnr.it/ontology/cnr/individuo/prodotto/ID45519
Validation of Raman lidar algorithm for quantifying aerosol extinction (Articolo in rivista)
- Type
- Label
- Validation of Raman lidar algorithm for quantifying aerosol extinction (Articolo in rivista) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Alternative label
F. Russo, D. Whiteman, B. Demoz, R. Hoff (2006)
Validation of Raman lidar algorithm for quantifying aerosol extinction
in Applied optics
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- F. Russo, D. Whiteman, B. Demoz, R. Hoff (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- University of Maryland Baltimore County (literal)
- Titolo
- Validation of Raman lidar algorithm for quantifying aerosol extinction (literal)
- Abstract
- To calculate aerosol extinction from Raman lidar data, it is necessary to evaluate the derivative of a molecular Raman signal with respect to range. The typical approach taken in the lidar community is to make an a priori assumption about the functional behavior of the data to calculate the derivative. It has previously been shown that the use of the chi-squared technique to determine the most likely functional behavior of the data prior to actually calculating the derivative eliminates the need for making a priori assumptions. Here that technique is validated through numerical simulation and by application to a significant body of Raman lidar measurements. In general, we show that the chi-squared approach for evaluating extinction yields lower extinction uncertainty than traditional techniques. We also use the technique to study the feasibility of developing a general characterization of the extinction uncertainty that could permit the uncertainty in Raman lidar aerosol extinction measurements to be estimated accurately without the need of the chi-squared technique. (literal)
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