Determination of stratospheric aerosol microphysical properties from independent extinction and backscattering measurements with a Raman lidar

Wandinger, Ulla; Ansmann, Albert; Reichardt, Jens; Deshler, Terry

doi:10.1364/ao.34.008315

Cited by 65 publications

(44 citation statements)

References 55 publications

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“…Additional modeling tools and satellite products (e.g., fire maps) were implemented to cross-check the sources and to assign an aerosol type for each layer (Wandinger et al, 2011). For the derivation of the UV-VIS (355 from 532 nm) BAEs and EAEs in LIVAS, we used the measurements from more than 500 aerosol layers recorded in the ESA-CALIPSO database and provided by four high-performance Wandinger et al (1995) EARLINET stations, namely the stations of Athens, Leipzig, Potenza and Thessaloniki. The final BAEs and EAEs were calculated by averaging the measurements collected for each aerosol type.…”

Section: Baes and Eaes In Uv-vis Spectral Regionmentioning

confidence: 99%

“…For the aforementioned types, aerosol models provided in the literature were used in order to calculate the EAEs. Specifically, we used the maritime model introduced in Sayer et al (2012) for clean marine aerosols, the OPAC model for clean continental aerosols and the stratospheric model of Wandinger et al (1995) and Deshler et al (1993) for stratospheric aerosols. From these models, typical size distributions and refractive indexes were retrieved and the BAEs and EAEs were calculated via the application of the Mie theory (Mie, 1908;Van de Hulst, 1957).…”

Section: Baes and Eaes In Uv-vis Spectral Regionmentioning

confidence: 99%

“…Approaches taken from the literature: the studies of Wandinger et al (1995) and Deshler et al (1993) provide a range of typical size distributions and refractive indexes for the stratospheric aerosol, while the maritime model of Sayer et al (2012) provides a typical size distribution and refractive index for marine aerosol. We derived the corresponding BAEs and EAEs by performing scattering calculations with the Mie code.…”

Section: Baes and Eaes In Vis-ir Spectral Regionmentioning

confidence: 99%

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LIVAS: a 3-D multi-wavelength aerosol/cloud database based on CALIPSO and EARLINET

et al. 2015

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Abstract. We present LIVAS (LIdar climatology of Vertical Aerosol Structure for space-based lidar simulation studies), a 3-D multi-wavelength global aerosol and cloud optical database, optimized to be used for future space-based lidar end-to-end simulations of realistic atmospheric scenarios as well as retrieval algorithm testing activities. The LI-VAS database provides averaged profiles of aerosol optical properties for the potential spaceborne laser operating wavelengths of 355, 532, 1064, 1570 and 2050 nm and of cloud optical properties at the wavelength of 532 nm. The global database is based on CALIPSO observations at 532 and 1064 nm and on aerosol-type-dependent backscatter-and extinction-related Ångström exponents, derived from EAR-LINET (European Aerosol Research Lidar Network) groundbased measurements for the UV and scattering calculations for the IR wavelengths, using a combination of input data from AERONET, suitable aerosol models and recent literature. The required spectral conversions are calculated for each of the CALIPSO aerosol types and are applied to CALIPSO backscatter and extinction data corresponding to the aerosol type retrieved by the CALIPSO aerosol classification scheme. A cloud optical database based on CALIPSO measurements at 532 nm is also provided, neglecting wavelength conversion due to approximately neutral scattering behavior of clouds along the spectral range of LIVAS. Averages of particle linear depolarization ratio profiles at 532 nm are provided as well. Finally, vertical distributions for a set of selected scenes of specific atmospheric phenomena (e.g., dust outbreaks, volcanic eruptions, wild fires, polar stratospheric clouds) are analyzed and spectrally converted so as to be used as case studies for spaceborne lidar performance assess-

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Section: Baes and Eaes In Uv-vis Spectral Regionmentioning

confidence: 99%

Section: Baes and Eaes In Uv-vis Spectral Regionmentioning

confidence: 99%

Section: Baes and Eaes In Vis-ir Spectral Regionmentioning

confidence: 99%

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LIVAS: a 3-D multi-wavelength aerosol/cloud database based on CALIPSO and EARLINET

et al. 2015

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“…In the past, volcanic aerosols have been observed by lidars a long time after they have been ejected in the stratosphere (Langford et al, 1995;Borrmann et al, 1995;Wandinger et al, 1995;Di Girolamo et al, 1996) and less frequently in the troposphere (Pappalardo et al, 2004;Villani et al, 2006;Wang et al, 2008). The Eyjafjallajökull volcanic plume was followed in near-real time by many scientists from different fields of atmospheric sciences all over the world but especially in Europe since the very first day of the eruption.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of the Eyjafjallajökull volcanic aerosol plume over the Iberian Peninsula by means of four EARLINET lidar stations

et al. 2012

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Abstract. Lidar and sun-photometer measurements were performed intensively over the Iberian Peninsula (IP) during the eruption of the Eyjafjallajökull volcano (Iceland) in April-May 2010. The volcanic plume reached all the IP stations for the first time on 5 May 2010. A thorough study of the event was conducted for the period 5-8 May. Firstly, the spatial and temporal evolution of the plume was described by means of lidar and sun-photometer measurements supported with backtrajectories. The volcanic aerosol layers observed over the IP were rather thin (<1000 m) with a top height up to 11-12 km. However, in some cases at the beginning of the period the thickness of those layers reached several kilometers inÉvora and Madrid. The optical thicknesses associated to those layers were rather low (between 0.013 and 0.020 in average over the whole period), with peak values near 0.10 detected on 7 May. Secondly, the volcanic aerosols were characterized in terms of extinction and backscatter coefficients, lidar ratios,Ångström exponents and linear particle depolarization ratio. Lidar ratios at different sites varied between 30 and 50 sr without a marked spectral dependency. Similar extinction-relatedÅngström exponents varying between 0.6 and 0.8 were observed at different sites. The temporal evolution of the backscatter-relatedÅngström exponents points out a possible decrease of the volcanic particle size as the plume moved from west to east. Particle depolarization ratios on the order of 0.06-0.08 confirmed the coexistence of both ash and non-ash particles. Additionally, profiles of mass concentration were obtained with a method using the opposite depolarizing effects of ash particles (strongly depolarizing), non-ash particles (very weakly depolarizing), and sun-photometer observations. In Granada the ash mass concentration was found to be approximately 1.5 times higher than that of non-ash particles, and probably did not exceed the value of 200 µgm −3 during the whole event.

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“…However, the Raman technique exhibits instabilities in retrieving the particle extinction coefficient (Ansmann et al, 20 1992, Wandinger et al, 1995, and in order to reduce the random error affecting the retrieval, a smoothing of the profile is required. In turn, smoothing decreases the effective vertical resolution (Pappalardo et al, 2004, Iarlori et al, 2015 of the particle extinction coefficient profile.…”

mentioning

confidence: 99%

Fu-Liou Gu radiative transfer model used as proxy to evaluate the impact of data processing and different lidar measurement techniques in view of next and current lidar space missions

Lolli

Madonna

Rosoldi

et al. 2017

Preprint

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Abstract. In view of the actual or future ground-based networks and space missions involving lidar instruments, we evaluated the comparability of extinction coefficient atmospheric profiles directly retrieved or estimated with different lidar techniques, i. e. Raman and elastic lidar, and different data processing/smoothing for a transported upper atmospheric dust 15 layer and for a cirrus cloud case through Fu-Liou-Gu radiative transfer model net forcing calculations, both at surface and at the top-of-the-atmosphere. The results put in evidence discrepancies up to 7% on net radiative forcing for the case of dust layer case and up to 35% for the cirrus cloud case. The main objective of this analysis is to quantitatively raise awareness on the inconsistences in calculating a significant climatological variable as the aerosol and cloud net radiative forcing due to the large diversification in lidar data measurements. 20

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Determination of stratospheric aerosol microphysical properties from independent extinction and backscattering measurements with a Raman lidar

Cited by 65 publications

References 55 publications

LIVAS: a 3-D multi-wavelength aerosol/cloud database based on CALIPSO and EARLINET

LIVAS: a 3-D multi-wavelength aerosol/cloud database based on CALIPSO and EARLINET

Monitoring of the Eyjafjallajökull volcanic aerosol plume over the Iberian Peninsula by means of four EARLINET lidar stations

Fu-Liou Gu radiative transfer model used as proxy to evaluate the impact of data processing and different lidar measurement techniques in view of next and current lidar space missions

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