GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures

Tsekeri, Alexandra; Lopatin, Anton; Amiridis, Vassilis; Marinou, Eleni; Igloffstein, Julia; Σιώμος, Νικόλαος; Solomos, Stavros; Kokkalis, Panagiotis; Engelmann, Ronny; Baars, Holger; Gratsea, Myrto; Raptis, Ioannis-Panagiotis; Binietoglou, Ioannis; Mihalopoulos, Nikolaos; Kalivitis, N.; Kouvarakis, Giorgos; Bartsotas, Nikolaos; Kallos, George; Basart, Sara; Schuettemeyer, Dirk; Wandinger, Ulla; Ansmann, Albert; Chaikovsky, Anatoli; Dubovik, Оleg

doi:10.5194/amt-10-4995-2017

Cited by 54 publications

(70 citation statements)

References 65 publications

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“…The backscatter coefficient at 532 nm is larger than at 355 nm, whereas the extinction coefficient is wavelength independent. Even though this is an atypical spectral behaviour, comparable observations of higher 532 nm than 355 nm backscatter coefficient have already been observed in dust layers near the Cabo Verde islands (Rittmeister et al, 2017), in the eastern Mediterranean at Crete (Tsekeri et al, 2017), and during the SHADOW (Study of SaHAran Dust Over West Africa) campaign in Senegal (Veselovskii et al, 2016). According to Veselovskii et al (2016), this spectral behaviour may be caused by specific refractive index characteristics induced by the chemical composition of the particles.…”

Section: Ps95 -Saharan Dustmentioning

confidence: 93%

Ship-borne aerosol profiling with lidar over the Atlantic Ocean: from pure marine conditions to complex dust–smoke mixtures

et al. 2018

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Abstract. The multi-wavelength Raman lidar Polly XT has been regularly operated aboard the research vessel Polarstern on expeditions across the Atlantic Ocean from north to south and vice versa. The lidar measurements of the RV Polarstern cruises PS95 from Bremerhaven, Germany, to Cape Town, Republic of South Africa (November 2015), and PS98 from Punta Arenas, Chile, to Bremerhaven, Germany (April/May 2016), are presented and analysed in detail. The latest set-up of Polly XT allows improved coverage of the marine boundary layer (MBL) due to an additional near-range receiver.Three case studies provide an overview of the aerosol detected over the Atlantic Ocean. In the first case, marine conditions were observed near South Africa on the autumn cruise PS95. Values of optical properties (depolarisation ratios close to zero, lidar ratios of 23 sr at 355 and 532 nm) within the MBL indicate pure marine aerosol. A layer of dried marine aerosol, indicated by an increase of the particle depolarisation ratio to about 10 % at 355 nm (9 % at 532 nm) and thus confirming the non-sphericity of these particles, could be detected on top of the MBL. On the same cruise, an almost pure Saharan dust plume was observed near the Canary Islands, presented in the second case. The third case deals with several layers of Saharan dust partly mixed with biomass-burning smoke measured on PS98 near the Cabo Verde islands. While the MBL was partly mixed with dust in the pure Saharan dust case, an almost marine MBL was observed in the third case.A statistical analysis showed latitudinal differences in the optical properties within the MBL, caused by the downmixing of dust in the tropics and anthropogenic influences in the northern latitudes, whereas the optical properties of the MBL in the Southern Hemisphere correlate with typical marine values. The particle depolarisation ratio of dried marine layers ranged between 4 and 9 % at 532 nm.Night measurements from PS95 and PS98 were used to illustrate the potential of aerosol classification using lidar ratio, particle depolarisation ratio at 355 and 532 nm, and Ångström exponent. Lidar ratio and particle depolarisation ratio have been found to be the main indicator for particle type, whereas the Ångström exponent is rather variable.

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Section: Ps95 -Saharan Dustmentioning

confidence: 93%

Ship-borne aerosol profiling with lidar over the Atlantic Ocean: from pure marine conditions to complex dust–smoke mixtures

et al. 2018

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“…The inverse modeling framework used here was originally presented by Chen et al (2018), wherein BC, OC and DD aerosol emissions were estimated simultaneously using spectral AOD and AAOD observations. The framework uses an adjoint of the GEOS-Chem model that was developed by Henze et al (2007Henze et al ( , 2009 and Wang et al (2012). Here, SU and SS emissions are kept fixed (similar to Chen et al, 2018); in future studies, we plan to retrieve SU and SS emissions to-gether with other emissions by using additional spatial and temporal (smoothness) constraints (Dubovik et al, 2008).…”

Section: Geos-chem Inverse Modeling Frameworkmentioning

confidence: 99%

“…C. Chen et al: Constraining global aerosol emissions using satellite observations There have been several efforts to improve aerosol emission inventories by using satellite observations and inverse modeling (Dubovik et al, 2008;Huneeus et al, 2012Huneeus et al, , 2013Wang et al, 2012;Xu et al, 2013;Zhang et al, 2015Zhang et al, , 2005Escribano et al, 2016Escribano et al, , 2017. However, most of them are regional studies that focus on a single aerosol or gas species, or they use predefined regions to reduce the size of state vector (Huneeus et al, 2012;Zhang et al, 2015Zhang et al, , 2005.…”

Section: Introductionmentioning

confidence: 99%

Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations

et al. 2019

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We invert global black carbon (BC), organic carbon (OC) and desert dust (DD) aerosol emissions from POLDER/PARASOL spectral aerosol optical depth (AOD) and aerosol absorption optical depth (AAOD) using the GEOS-Chem inverse modeling framework. Our inverse modeling framework uses standard a priori emissions to provide a posteriori emissions that are constrained by POLDER/PARASOL AODs and AAODs. The following global emission values were retrieved for the three aerosol components: 18.4 Tg yr −1 for BC, 109.9 Tg yr −1 for OC and 731.6 Tg yr −1 for DD for the year 2010. These values show a difference of +166.7 %, +184.0 % and −42.4 %, respectively, with respect to the a priori values of emission inventories used in "standard" GEOS-Chem runs. The model simulations using a posteriori emissions (i.e., retrieved emissions) provide values of 0.119 for global mean AOD and 0.0071 for AAOD at 550 nm, which are +13.3 % and +82.1 %, respectively, higher than the AOD and AAOD obtained using the a priori values of emissions. Additionally, the a posteriori model simulation of AOD, AAOD, single scattering albedo, Ångström exponent and absorption Ångström exponent show better agreement with independent AERONET, MODIS and OMI measurements than the a priori simulation. Thus, this study suggests that using satellite-constrained global aerosol emissions in aerosol transport models can improve the accuracy of simulated global aerosol properties.

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“…However, the main drawback of this approach is that sun/sky photometer measurements are only available during daytime and under low-cloudiness conditions. Other methodologies, such as the absolute calibration of the ceilometer (Wiegner and Geiß, 2012), are able to overcome this issue and provide quantitative backscatter profiles during day and nighttime. Quantitative ceilometer profiles could be used for evaluating dust forecast models (Tsekeri et al, 2017) such as the BSC-DREAM8b, as input to radiative transfer models (Granados-Muñoz et al, 2019), or can be assimilated in global models (Chen et al, 2018).…”

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confidence: 99%

Retrieval of aerosol properties from ceilometer and photometer measurements: long-term evaluation with in situ data and statistical analysis at Montsec (southern Pyrenees)

Titos¹,

Ealo²,

Román³

et al. 2019

Atmos. Meas. Tech.

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Abstract. Given the need for accurate knowledge of aerosol microphysical and optical properties with height resolution, various algorithms combining vertically resolved and column-integrated aerosol information have been developed in the last years. Here we present new results of vertically resolved extensive aerosol optical properties (backscattering, scattering and extinction) and volume concentrations retrieved with the GRASP (Generalized Retrieval of Aerosol and Surface Properties) algorithm over a 3-year period. The range-corrected signal (RCS) at 1064 nm measured with a ceilometer and the aerosol optical depth (AOD) and sky radiances from a sun/sky photometer have been used as input for this algorithm. We perform a detailed evaluation of GRASP retrievals with simultaneous in situ measurements performed at the same height, at the Montsec mountaintop observatory (MSA) in the Pre-Pyrenees (northeastern Spain). This is the first long-term evaluation of various outputs of this algorithm; previous evaluations focused only on the study of aerosol volume concentration for short-term periods. In general, our results show good agreement between techniques although GRASP inversions yield higher values than those measured in situ. The statistical analysis of the extinction coefficient vertical profiles shows a clear seasonality as well as significant differences depending on the air mass origin. The observed seasonal cycle is mainly modulated by a higher development of the atmospheric boundary layer (ABL) during warm months, which favors the transport of pollutants to MSA, and higher influence of regional and North African episodes. On the other hand, in winter, MSA is frequently influenced by free-troposphere conditions and venting periods and therefore lower extinction coefficients that markedly decrease with height. This study shows the potentiality of implementing GRASP in ceilometer and lidar networks for obtaining aerosol optical properties and volume concentrations at multiple sites, which will definitely contribute to enhancing the representativeness of the aerosol vertical distribution as well as to providing useful information for satellite and global model evaluation.

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GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures

Cited by 54 publications

References 65 publications

Ship-borne aerosol profiling with lidar over the Atlantic Ocean: from pure marine conditions to complex dust–smoke mixtures

Ship-borne aerosol profiling with lidar over the Atlantic Ocean: from pure marine conditions to complex dust–smoke mixtures

Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations

Retrieval of aerosol properties from ceilometer and photometer measurements: long-term evaluation with in situ data and statistical analysis at Montsec (southern Pyrenees)

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