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| Titel |
Effects of systematic and random errors on the retrieval of particle microphysical properties from multiwavelength lidar measurements using inversion with regularization |
| VerfasserIn |
D. Pérez-Ramírez, D. N. Whiteman, I. Veselovskii, A. Kolgotin, M. Korenskiy, L. Alados-Arboledas |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 6, no. 11 ; Nr. 6, no. 11 (2013-11-07), S.3039-3054 |
| Datensatznummer |
250085104
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| Publikation (Nr.) |
 copernicus.org/amt-6-3039-2013.pdf |
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| Zusammenfassung |
| In this work we study the effects of systematic and random errors on the
inversion of multiwavelength (MW) lidar data using the well-known
regularization technique to obtain vertically resolved aerosol microphysical
properties. The software implementation used here was developed at the
Physics Instrumentation Center (PIC) in Troitsk (Russia) in conjunction with
the NASA/Goddard Space Flight Center. Its applicability to Raman lidar systems
based on backscattering measurements at three wavelengths (355, 532 and
1064 nm) and extinction measurements at two wavelengths (355 and 532 nm)
has been demonstrated widely. The systematic error sensitivity is quantified
by first determining the retrieved parameters for a given set of optical
input data consistent with three different sets of aerosol physical
parameters. Then each optical input is perturbed by varying amounts and the
inversion is repeated. Using bimodal aerosol size distributions, we find a
generally linear dependence of the retrieved errors in the microphysical
properties on the induced systematic errors in the optical data. For the
retrievals of effective radius, number/surface/volume concentrations and
fine-mode radius and volume, we find that these results are not significantly
affected by the range of the constraints used in inversions. But significant
sensitivity was found to the allowed range of the imaginary part of the
particle refractive index. Our results also indicate that there exists an
additive property for the deviations induced by the biases present in the
individual optical data. This property permits the results here to be used to
predict deviations in retrieved parameters when multiple input optical data
are biased simultaneously as well as to study the influence of random errors
on the retrievals. The above results are applied to questions regarding lidar
design, in particular for the spaceborne multiwavelength lidar under
consideration for the upcoming ACE mission. |
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