Profiling of fine and coarse particle mass: case studies of Saharan dust and Eyjafjallajökull/Grimsvötn volcanic  plumes

Ansmann, Albert; Seifert, Patric; Tesche, Matthias; Wandinger, Ulla

doi:10.5194/acp-12-9399-2012

Cited by 159 publications

(226 citation statements)

References 88 publications

(124 reference statements)

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“…A complete description of the POLIPHON discrimination technique can be found in Mamouri and Ansmann (2014). In particular, the POL-1 approach has been successfully applied to separate dust from biomass-burning smoke particles Ansmann et al, 2012) and volcanic ash aerosols from other fine particles (Ansmann et al, 2012;. The POL-2 approach has been used for the partition of coarse and fine dust components and their discrimination from other non-dust aerosols (marine and anthropogenic pollution) (Mamouri and Ansmann, 2017).…”

Section: General Featuresmentioning

confidence: 99%

“…Table 3 shows the AERONET parameters involved in the extinction-to-mass conversion (VC c,f , τ c,f ) at selected times for each aerosol case together with those typical particle densities Pd for each aerosol component. In particular, Pd values assumed for each type of aerosols are 2.60 g cm −3 for dust (Ansmann et al, 2012), 1.30 g cm −3 for smoke (Reid et al, 2005) and 0.92 g cm −3 for pollen (Platanus) particles (Jackson and Lyford, 1999;Zhang et al, 2014). For the other components, the particle density is obtained from the OPAC database .…”

Section: Extinction-to-mass Concentration Conversion 241 General Prmentioning

confidence: 99%

“…The conversion from extinction (σ , m −1 ) to mass concentration (M, g m −3 ) is performed for each component (i) by means of the mass extinction efficiency (MEE, or massspecific extinction coefficient) (k, m 2 g −1 ) by using the relationship (Ansmann et al, 2012;Córdoba-Jabonero et al, 2016) at each altitude z…”

Section: Extinction-to-mass Concentration Conversion 241 General Prmentioning

confidence: 99%

“…AOD) to the total mass concentration (TMC), is given by Columnar MEE values can be obtained from AERONET data and the particle density (Pd, g cm −3 ) assumed for each aerosol component examined in this work by using the expression (Ansmann et al, 2012):…”

Section: Extinction-to-mass Concentration Conversion 241 General Prmentioning

confidence: 99%

“…Lately, POLIPHON is also used to extract the fractions of the high, moderate or low depolarizing particles from the total extinction, which can then be converted separately into mass concentration Ansmann, 2014, 2017). The method has been used for the estimation of the profile of mass concentration of dust (Ansmann et al, , 2012, volcanic ash (Ansmann et al, 2012; and pollen (Sicard et al, 2016b). It is worth mentioning that another field that would greatly benefit from the knowledge of the aerosol mass concentration profile is the air traffic, as large particles can damage aircraft engines.…”

Section: Introductionmentioning

confidence: 99%

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Separation of the optical and mass features of particle components in different aerosol mixtures by using POLIPHON retrievals in synergy with continuous polarized Micro-Pulse Lidar (P-MPL) measurements

et al. 2018

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Abstract. The application of the POLIPHON (POlarizationLIdar PHOtometer Networking) method is presented for the first time in synergy with continuous 24/7 polarized MicroPulse Lidar (P-MPL) measurements to derive the vertical separation of two or three particle components in different aerosol mixtures, and the retrieval of their particular optical properties. The procedure of extinction-to-mass conversion, together with an analysis of the mass extinction efficiency (MEE) parameter, is described, and the relative mass contribution of each aerosol component is also derived in a further step. The general POLIPHON algorithm is based on the specific particle linear depolarization ratio given for different types of aerosols and can be run in either 1-step (POL-1) or 2 steps (POL-2) versions with dependence on either the 2-or 3-component separation. In order to illustrate this procedure, aerosol mixing cases observed over Barcelona (NE Spain) are selected: a dust event on 5 July 2016, smoke plumes detected on 23 May 2016 and a pollination episode observed on 23 March 2016. In particular, the 3-component separation is just applied for the dust case: a combined POL-1 with POL-2 procedure (POL-1/2) is used, and additionally the fine-dust contribution to the total fine mode (fine dust plus non-dust aerosols) is estimated. The high dust impact before 12:00 UTC yields a mean mass loading of 0.6 ± 0.1 g m −2 due to the prevalence of Saharan coarse-dust particles. After that time, the mean mass loading is reduced by two-thirds, showing a rather weak dust incidence. In the smoke case, the arrival of fine biomass-burning particles is detected at altitudes as high as 7 km. The smoke particles, probably mixed with less depolarizing non-smoke aerosols, are observed in air masses, having their origin from either North American fires or the Arctic area, as reported by HYSPLIT backtrajectory analysis. The particle linear depolarization ratio for smoke shows values in the 0.10-0.15 range and even higher at given times, and the daily mean smoke mass loading is 0.017 ± 0.008 g m −2 , around 3 % of that found for the dust event. Pollen particles are detected up to 1.5 km in height from 10:00 UTC during an intense pollination event with a particle linear depolarization ratio ranging between 0.10 and 0.15. The maximal mass loading of Platanus pollen particles is 0.011 ± 0.003 g m −2 , representing around 2 % of the dust loading during the higher dust incidence. Regarding the MEE derived for each aerosol component, their values are in agreement with others referenced in the literature for the specific aerosol types examined in this work: 0.5 ± 0.1 and 1.7 ± 0.2 m 2 g −1 are found for coarse and fine dust particles, 4.5 ± 1.4 m 2 g −1 is derived for smoke and 2.4 ± 0.5 m 2 g −1 for non-smoke aerosols with Arctic origin, and a MEE of 2.4 ± 0.8 m 2 g −1 is obtained for pollen particles, though it can reach higher or lower values depending on predomiPublished by Copernicus Publications on behalf of the European Geosciences Union. 4776 C. Córdoba...

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Section: General Featuresmentioning

confidence: 99%

Section: Extinction-to-mass Concentration Conversion 241 General Prmentioning

confidence: 99%

Section: Extinction-to-mass Concentration Conversion 241 General Prmentioning

confidence: 99%

Section: Extinction-to-mass Concentration Conversion 241 General Prmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Separation of the optical and mass features of particle components in different aerosol mixtures by using POLIPHON retrievals in synergy with continuous polarized Micro-Pulse Lidar (P-MPL) measurements

et al. 2018

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Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data

et al. 2014

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This study evaluates model-simulated dust aerosols over North Africa and the North Atlantic from five global models that participated in the Aerosol Comparison between Observations and Models phase II model experiments. The model results are compared with satellite aerosol optical depth (AOD) data from Moderate Resolution Imaging Spectroradiometer (MODIS), Multiangle Imaging Spectroradiometer (MISR), and Sea-viewing Wide Field-of-view Sensor, dust optical depth (DOD) derived from MODIS and MISR, AOD and coarse-mode AOD (as a proxy of DOD) from ground-based Aerosol Robotic Network Sun photometer measurements, and dust vertical distributions/centroid height from Cloud Aerosol Lidar with Orthogonal Polarization and Atmospheric Infrared Sounder satellite AOD retrievals. We examine the following quantities of AOD and DOD: (1) the magnitudes over land and over ocean in our study domain, (2) the longitudinal gradient from the dust source region over North Africa to the western North Atlantic, (3) seasonal variations at different locations, and (4) the dust vertical profile shape and the AOD centroid height (altitude above or below which half of the AOD is located). The different satellite data show consistent features in most of these aspects; however, the models display large diversity in all of them, with significant differences among the models and between models and observations. By examining dust emission, removal, and mass extinction efficiency in the five models, we also find remarkable differences among the models that all contribute to the discrepancies of model-simulated dust amount and distribution. This study highlights the challenges in simulating the dust physical and optical processes, even in the best known dust environment, and stresses the need for observable quantities to constrain the model processes.

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Dust

Bullard

Baddock

2019

Aeolian Geomorphology

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Profiling of fine and coarse particle mass: case studies of Saharan dust and Eyjafjallajökull/Grimsvötn volcanic plumes

Cited by 159 publications

References 88 publications

Separation of the optical and mass features of particle components in different aerosol mixtures by using POLIPHON retrievals in synergy with continuous polarized Micro-Pulse Lidar (P-MPL) measurements

Separation of the optical and mass features of particle components in different aerosol mixtures by using POLIPHON retrievals in synergy with continuous polarized Micro-Pulse Lidar (P-MPL) measurements

Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data

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