Article
Independent measurement of extinction and backscatter profiles in cirrus clouds by using a combined Raman elastic-backscatter lidar.
Applied Optics (impact factor:
1.41).
11/1992;
31(33):7113.
pp.7113
Source: PubMed
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Citations (0)
- Cited In (20)
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Article: Practical analytical backscatter error bars for elastic one-component lidar inversion algorithm.
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ABSTRACT: We present an analytical formulation to compute the total-backscatter range-dependent error bars from the well-known Klett's elastic-lidar inversion algorithm. A combined error-propagation and statistical formulation approach is used to assess inversion errors in response to the following error sources: observation noise (i.e., signal-to-noise ratio) in the reception channel, the user's uncertainty in the backscatter calibration, and in the (range-dependent) total extinction-to-backscatter ratio provided. The method is validated using a Monte Carlo procedure, where the error bars are computed by inversion of a large population of noisy generated lidar signals, for total optical depths tau < or = 5 and typical user uncertainties, all of which yield a practical tool to compute the sought-after error bars.Applied Optics 06/2010; 49(17):3380-93. · 1.41 Impact Factor -
Article: Climatology of the Aerosol Extinction-to-Backscatter Ratio from Sun-Photometric Measurements.
IEEE T. Geoscience and Remote Sensing. 01/2010; 48:237-249. -
Article: Climatology of the Aerosol Extinction-to-Backscatter Ratio from Sun-Photometric Measurements
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ABSTRACT: The elastic lidar equation contains two unknown atmospheric parameters, namely, the particulate optical extinction and backscatter coefficients, which are related through the lidar ratio (i.e., the particulate-extinction-to-backscatter ratio). So far, independent inversion of the lidar signal has been carried out by means of Raman lidars (usually limited to nighttime measurements), high-spectral-resolution lidars, or scanning elastic lidars under the assumption of a homogeneously vertically stratified atmosphere. In this paper, we present a procedure to obtain the lidar ratio at 532 nm by a combined Sun-photometer-aerosol-model inversion, where the viability of the solution is largely reinforced by assimilating categorized air-mass back-trajectory information. Thus, iterative lidar-ratio tuning to reconstruct the Sun-photometric aerosol optical depth (AOD) is additionally constrained by the air-mass back trajectories provided by the hybrid single-particle Lagrangian integrated-trajectory model. The retrieved lidar ratios are validated with inversions of lidar data based on the Klett-Fernald-Sasano algorithm and with the Aerosol Robotic Network (AERONET)-retrieved lidar ratios. The estimated lidar ratios concur with the AERONET-retrieved lidar ratios and with those of the well-known KFS inversion constrained with Sun-photometric AOD values and embedded single-scattering models. The proposed method can be applied to routinely extract climatological values of the lidar ratio using measurements of direct solar irradiance (more numerous than those of sky radiance).IEEE Transactions on Geoscience and Remote Sensing 02/2010; · 2.89 Impact Factor
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Keywords
backscatter coefficients
cirrus clouds
cloud optical depth
cloud profile
elastic-backscatter signals
extended error analysis
extinction profile
extinction-to-backscatter ratios
Height profiles
inelastic-backscatter signals
Klett method
Klett solution
lidar ratio varies
lidar ratios
mean cloud lidar ratio
Particle extinction coefficients
reliable information
simple backscatter lidars
strong variation
