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Proceedings Paper

Statistical considerations on the Raman inversion algorithm: data inversion and error assessment
Author(s): Francesc Rocadenbosch; Michael Sicard; Albert Ansmann; Ulla Wandinger; Volker Matthias; Gelsomina Pappalardo; Christine Bockmann; Adolfo Comeron; Alejandro Rodriguez; Constantino Munoz; Miguel Angel Lopez; David Garcia
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Paper Abstract

Lidar (radar laser) systems take advantage of the relatively strong interaction between laser light and aerosol/molecular species in the atmosphere. The inversion of optical atmospheric parameters is of prime concern in the fields of environmental and meteorological modelling and has been (and still is) under research study for the past four decades. Within the framework of EARLINET (European Aerosol LIdar NETwork), independent inversions of the atmospheric optical extinction and backscatter profiles (and thus, of the lidar ratio, as well) have been possible by assimilating elastic-Raman data into Ansmann et al.’s algorithm [the term “elastic-Raman” caters for the combination of one elastic lidar channel (i.e., no wavelength shift in reception) with an inelastic Raman one (i.e., wavelength shifted)]. In this work, an overview of this operative method is presented under noisy scenes along with a novel formulation of the algorithm statistical performance in terms of the retrieved-extinction mean-squared error (MSE). The statistical error due to signal detection (Poisson) is the main error source considered while systematic and operational-induced errors are neglected. In contrast to Montercarlo and error propagation formulae, often used as customary approaches in lidar error inversion assessment, the statistical approach presented here analytically quantifies the range-dependent MSE performance as a function of the estimated signal-to-noise ratio of the Raman channel, thus, becoming a straightforward general formulation of algorithm errorbars.

Paper Details

Date Published: 12 January 2004
PDF: 11 pages
Proc. SPIE 5240, Laser Radar Technology for Remote Sensing, (12 January 2004); doi: 10.1117/12.509641
Show Author Affiliations
Francesc Rocadenbosch, Univ. Politecnica de Catalunya (Spain)
Michael Sicard, Univ. Politecnica de Catalunya (Spain)
Albert Ansmann, Institute for Tropospheric Research (Germany)
Ulla Wandinger, Institute for Tropospheric Research (Germany)
Volker Matthias, Max-Planck-Institut fur Meteorologie (Germany)
Gelsomina Pappalardo, Istituto di Metodologie per l'Analisi Ambientale (Italy)
Christine Bockmann, Univ. Potsdam (Germany)
Adolfo Comeron, Univ. Politecnica de Catalunya (Spain)
Alejandro Rodriguez, Univ. Politecnica de Catalunya (Spain)
Constantino Munoz, Univ. Politecnica de Catalunya (Spain)
Miguel Angel Lopez, Univ. Politecnica de Catalunya (Spain)
David Garcia, Univ. Politecnica de Catalunya (Spain)

Published in SPIE Proceedings Vol. 5240:
Laser Radar Technology for Remote Sensing
Christian Werner, Editor(s)

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