A new retrieval algorithm has been developed based on the Optimal Estimation (OE) approach, which retrieves lognormal aerosol size distribution parameters from multiwavelength aerosol extinction data, as measured by the Stratospheric Aerosol and Gas Experiment (SAGE) II in the lower stratosphere. Retrieving these aerosol properties becomes increasingly more difficult under aerosol background conditions, when tiny particles (« 0.1 µm) prevail, to which the experiment is nearly or entirely insensitive. A successful retrieval algorithm must then be able (a) to fill the 'blind spot' with suitable information about the practically invisible particles, and (b) to identify 'the best' of many possible solutions. The OE approach differs from other previously used aerosol retrieval techniques by taking a statistical approach to the multiple solution problem, in which the entire range of possible solutions are considered (including the smallest particles) and characterized by probability density functions. The three main parts of this thesis are (1) the development of the new OE retrieval algorithm, (2) the validation of this algorithm on the basis of synthetic extinction data, and (3) application of the new algorithm to SAGE II measurements of stratospheric background aerosol. The validation results indicate that the new method is able to retrieve the particle size of typical background aerosols reasonably well, and that the retrieved uncertainties are a good estimate of the true errors. The derived surface area densities (A), and volume densities (V ) tend to be closer to the correct solutions than the directly retrieved number density (N), median radius (R), and lognormal distribution width (S). Aerosol properties as retrieved from SAGE II measurements (recorded in 1999) are observed to be close to correlative in situ data. In many cases the OE and in situ data agree within the (OE and/or the in situ ) uncertainties. The retrieved error estimates are of the order of 69% (σN), 33% (σR), 14% (σS), 23% (σA), 12% (σV), and 13% (σReff ). The OE number densities are generally larger, and the OE median particle sizes are generally smaller than those N and R retrieved by Bingen et al. (2004a), who suggest that their results underestimate (N) or overestimate (R) correlative in situ data due to the 'small particle problem'. The OE surface area estimates are generally closer to correlative in situ profiles (courtesy of T. Deshler, University of Wyoming), and larger than Principal Component Analysis (PCA) retrieval solutions of A (courtesy of L. W. Thomason, NASA LaRC) that have been observed to underestimate correlative in situ data by 40-50%. These observations suggest that the new OE retrieval algorithm is a successful approach to the aerosol retrieval problem, which is able to add to the current knowledge by improving current estimates of aerosol properties in the lower stratosphere under low aerosol loading conditions.

The overall goal of this doctoral dissertation is to develop a prototype instrument, a Portable Aerosol Collector and Spectrometer (PACS), that can continuously measure aerosol size distributions by number, surface area and mass concentrations over a wide size range (from 10 nm to 10 µm) while also collecting particles with impactor and diffusion stages for post-sampling chemical analyses. To achieve the goal, in the first study, we designed, built and tested the PACS hardware. The PACS consists of a six-stage particle size selector, a valve system, a water condensation particle counter to measure number concentrations and a photometer to measure mass concentrations. The valve system diverts airflow to pass sequentially through upstream stages of the selector to the detectors. The stages of the selector include three impactor and two diffusion stages, which resolve particles by size and collect particles for chemical analysis. Particle penetration by size was measured through each stage to determine actual performance and account for particle losses. The measured d50 of each stage (aerodynamic diameter for impactor stages and geometric diameter for diffusion stages) was similar to the design. The pressure drop of each stage was sufficiently low to permit its operation with portable air pumps. In the second study, we developed a multi-modal log-normal (MMLN) fitting algorithm to leverage the multi-metric, low-resolution data from one sequence of PACS measurements to estimate aerosol size distributions of number, surface area, and mass concentration in near-real-time. The algorithm uses a grid-search process and a constrained linear least-square (CLLS) solver to find a tri-mode (ultrafine, fine, and coarse), log-normal distribution that best fits the input data. We refined the algorithm to obtain accurate and precise size distributions for four aerosols typical of diverse environments: clean background, urban and freeway, coal power plant, and marine surface. Sensitivity studies were conducted to explore the influence of unknown particle density and shape factor on algorithm output. An adaptive process that refined the ranges and step sizes of the grid-search reduced the computation time to fit a single size distribution in near-real-time. Assuming standard density spheres, the aerosol size distributions fit well with the normalized mean bias (NMB) of -4.9% to 3.5%, normalized mean error (NME) of 3.3% to 27.6%, and R2 values of 0.90 to 1.00. The fitted number and mass concentration biases were within ± 10% regardless of uncertainties in density and shape. With this algorithm, the PACS is able to estimate aerosol size distributions by number, surface area, and mass concentrations from 10 nm to 10 µm in near-real-time. In the third study, we developed a new algorithm–the mass distribution by composition and size (MDCS) algorithm–to estimate the mass size distribution of various particle compositions. Then we compared the PACS for measuring multi-mode aerosols to three reference instruments, including a scanning mobility particle sizer (SMPS), an aerodynamic particle sizer (APS) and a nano micro-orifice uniform deposit impactor (nanoMOUDI). We used inductively coupled plasma mass spectrometry to measure the mass of collected particles on PACS and nanoMOUDI stages by element. For the three-mode aerosol, the aerosol size distributions in three metrics measured with the PACS agreed well with those measured with the SMPS/APS: number concentration, bias = 9.4% and R2 = 0.96; surface area, bias = 17.8%, R2 = 0.77; mass, bias = -2.2%, R2 = 0.94. Agreement was considerably poorer for the two-mode aerosol, especially for surface area and mass concentrations. Comparing to the nanoMOUDI, for the three-mode aerosol, the PACS estimated the mass median diameters (MMDs) of the coarse mode well, but overestimated the MMDs for ultrafine and fine modes. The PACS overestimated the mass concentrations of ultrafine and fine mode, but underestimated the coarse mode. This work provides insight into a novel way to simultaneously assess airborne aerosol size, composition, and concentration by number, surface area and mass using cost-effective handheld technologies.

The ill-posed problem of aerosol size distribution determination from a small number of backscatter and extinction measurements was solved successfully with a mollifier method which is advantageous since the ill-posed part is performed on exactly given quantities, the points r where n(r) is evaluated may be freely selected. A new twodimensional model for the troposphere is proposed.

This research focuses on aircraft observational studies of aerosol-cloud interactions in cumulus clouds. The data were collected in the summer of 2004, the spring of 2007 and the mid-winter and spring of 2008 in Texas, central Saudi Arabia and Istanbul, Turkey, respectively. A set of 24 pairs of sub-cloud aerosol and cloud penetration data are analyzed. Measurements of fine and coarse mode aerosol concentrations from 3 different instruments were combined and fitted with lognormal distributions. The fit parameters of the lognormal distributions are compared with cloud droplet effective radii retrieved from 260 cloud penetrations. Cloud condensation nuclei (CCN) measurements for a subset of 10 cases from the Istanbul region are compared with concentrations predicted from aerosol size distributions. Ammonium sulfate was assumed to represent the soluble component of aerosol with dry sizes smaller than 0.5 mm and sodium chloride for aerosol larger than 0.5 mm. The measured CCN spectrum was used to estimate the soluble fraction. The correlations of the measured CCN concentration with the predicted CCN concentration were strong (R2 > 0.89) for supersaturations of 0.2, 0.3 and 0.6%. The measured concentrations were typically consistent with an aerosol having a soluble fraction between roughly 0.5 and 1.0, suggesting a contribution of sulfate or some other similarly soluble inorganic compound. The predicted CCN were found to vary by +or-3.7% when the soluble fraction was varied by 0.1. Cumulative aerosol concentrations at cutoff dry diameters of 1.1, 0.1 and 0.06 mm were found to be correlated with cloud condensation nuclei concentrations but not with maximum cloud base droplet concentrations. It is also shown that in some cases the predominant mechanisms involved in the formation of precipitation were altered and modified by the aerosol properties. This study suggests that CCN-forced variations in cloud droplet number concentration can change the effective radius profile and the type of precipitation hydrometeors. These differences may have a major impact on the global hydrological cycle and energy budget.

A new retrieval algorithm has been developed based on the Optimal Estimation (OE) approach, which retrieves lognormal aerosol size distribution parameters from multiwavelength aerosol extinction data, as measured by the Stratospheric Aerosol and Gas Experiment (SAGE) II in the lower stratosphere. Retrieving these aerosol properties becomes increasingly more difficult under aerosol background conditions, when tiny particles (« 0.1 µm) prevail, to which the experiment is nearly or entirely insensitive. A successful retrieval algorithm must then be able (a) to fill the 'blind spot' with suitable information about the practically invisible particles, and (b) to identify 'the best' of many possible solutions. The OE approach differs from other previously used aerosol retrieval techniques by taking a statistical approach to the multiple solution problem, in which the entire range of possible solutions are considered (including the smallest particles) and characterized by probability density functions. The three main parts of this thesis are (1) the development of the new OE retrieval algorithm, (2) the validation of this algorithm on the basis of synthetic extinction data, and (3) application of the new algorithm to SAGE II measurements of stratospheric background aerosol. The validation results indicate that the new method is able to retrieve the particle size of typical background aerosols reasonably well, and that the retrieved uncertainties are a good estimate of the true errors. The derived surface area densities (A), and volume densities (V ) tend to be closer to the correct solutions than the directly retrieved number density (N), median radius (R), and lognormal distribution width (S). Aerosol properties as retrieved from SAGE II measurements (recorded in 1999) are observed to be close to correlative in situ data. In many cases the OE and in situ data agree within the (OE and/or the in situ ) uncertainties. The retrieved error estimates are of the order of 69% (σN), 33% (σR), 14% (σS), 23% (σA), 12% (σV), and 13% (σReff ). The OE number densities are generally larger, and the OE median particle sizes are generally smaller than those N and R retrieved by Bingen et al. (2004a), who suggest that their results underestimate (N) or overestimate (R) correlative in situ data due to the 'small particle problem'. The OE surface area estimates are generally closer to correlative in situ profiles (courtesy of T. Deshler, University of Wyoming), and larger than Principal Component Analysis (PCA) retrieval solutions of A (courtesy of L. W. Thomason, NASA LaRC) that have been observed to underestimate correlative in situ data by 40-50%. These observations suggest that the new OE retrieval algorithm is a successful approach to the aerosol retrieval problem, which is able to add to the current knowledge by improving current estimates of aerosol properties in the lower stratosphere under low aerosol loading conditions.

The determination of the atmospheric aerosol size distribution is an inverse illposed problem. The shape and the material composition of the air-carried particles are two substantial model parameters. Present evaluation algorithms only used an approximation with spherical homogeneous particles. In this paper we propose a new numerically efficient recursive algorithm for inhomogeneous multilayered coated and absorbing particles. Numerical results of real existing particles show that the influence of the two parameters on the model is very important and therefore cannot be ignored.

The aim of the study was to determine the 13 health risk PAHs (phenanthrene, anthracene, fluoranthene, pyrene, benzo(a)anthracene, chrysene, benzo(b)fluoranthene, benzo(k)fluoranthene, benzo(a)pyrene, dibenzo(a,h)anthracene, benzo(g,h,i)perylene, ideno(1,2,3-cd)perylene and coronene; c-PAU highlighted) in the fractions of size-segregated aerosol of the urban air in Ostrava (2012, 2014) and Mlada Boleslav (2013) at low temperatures in winter, and to verify experimentally a sampling artifact, i.e., to quantify PAHs in the gas phase. For the particle size separation high-volume cascade impactor Hi-Vol BGI 900 was used. PAHs were determined by HPLC-FLD/PDA. In Ostrava in 2012 during the winter inversion (up to -25 řC), mean concentration of 13 PAHs in aerosol was 432 ng.m-3 ; in fraction 10 - 1 µm 119 ng.m-3 , 1 - 0,5 µm 185 ng.m-3 , 0,5 - 0,17 µm 91 ng.m-3 , in fraction < 0,17 µm 37 ng.m-3 and in the gaseous phase of min. 40 ng.m-3 . In the most unfavorable day 2. 2. 2012 (-18.6 ř C) reached the 24-hour average of 13 PAHs 890 ng.m-3 , the sum of carcinogenic PAHs 237 ng.m-3 and benzo(a)pyrene 32.3 ng.m-3 . An irregular and different decline of PAHs concentrations after inversion was measured: in fraction 1 - 10 µm 2.8 times, 0.5 - 1 µm 4.2 times, 0.5 - 0.17 µm 4 times and for <0.17 µm up to 7.6 times....

Les particules d'aérosol sont importantes en raison de leurs impacts directs et indirects sur le climat. Dans la couche limite (CL), ces particules ont une durée de vie relativement courte en raison de leur élimination fréquente par dépôt humide. En revanche, lorsque les aérosols sont transportés dans la troposphère libre (TL), leur durée de vie dans l'atmosphère augmente de manière significative, ce qui les rend représentatifs de vastes zones spatiales. Dans le cadre de ces travaux de thèse, nous avons utilisé une combinaison de mesures in situ effectuées à la station PUY (Puy de Dôme, 45 ° 46 'N, 2 ° 57'E, 1465 m d'altitude), ainsi que des profils LIDAR obtenus depuis Clermont-Ferrand pour identifier les conditions de TL et caractériser davantage les propriétés physiques et chimiques des aérosols dans cette zone de l'atmosphère peu documentée. Dans un premier temps, une combinaison de quatre critères a été utilisée pour déterminer le positionnement de la station PUY en TL ou en CL. Les résultats montrent que la station est située en CL avec des fréquences allant de 50% en hiver à 97% en été. Cette classification a ensuite été utilisée pour évaluer, sur un an de mesures, les différences qui existent entre la TL et la CL en termes de caractéristiques physique (distribution en taille) et chimique (fraction non réfractaire) de l’aérosol, et vis-à-vis des concentrations en carbone suie (BC). Sur la base de cette ségrégation, nous avons observé pour la plupart des saisons que les concentrations en particules des modes Aitken et accumulation ainsi que la concentration en BC sont plus élevées dans la CL que dans la TL. Cette observation est cohérente avec le fait que la majorité des sources d’aérosol sont situées dans la CL. Au contraire, des concentrations plus élevées en particules dans les modes Aitken et accumulation (notamment organiques) et en BC sont observées en TL au printemps. Ces aérosols organiques ont été identifiés comme étant âgés / moins âgés ; ils coïncident avec la présence de fortes concentrations en sulfate et en BC et sont probablement originaires de processus de combustion de biomasse, à la suite desquels ils sont directement injectés en TL sous l’effet d’une convection thermique intense. Aucune différence significative entre les concentrations de CL et de TL n'a été observée pour les particules du mode nucléation, et ce quelle que soit la saison, ce qui suggère une source supplémentaire continue de particules du mode nucléation dans la TL en hiver et en automne. Les concentrations en particules du mode grossier sont en revanche plus élevées dans la TL que dans la CL pour toutes les saisons, et en particulier en été. Cela indique un transport longue distance efficace des grosses particules dans la TL depuis des sources lointaines (marines et désertiques), probablement favorisé par les vitesses de vent accrues dans la TL par rapport à la CL. Nous avons ensuite calculé les rétro-trajectoires des masses d'air que nous avons combinées aux estimations de hauteur de couche limite du modèle ECMWF ERA-Interim pour estimer le temps passé par les masses d’air dans la TL depuis leur dernier contact avec la CL, et pour évaluer l'impact de ce paramètre sur les propriétés des aérosols. Nous avons observé que même après 75 heures sans aucun contact avec la CL, les aérosols de la TL conservent les propriétés spécifiques du type de masse d'air auquel ils appartiennent. Ce manuscrit présente également une étude des mesures simultanées au PUY et à une station urbaine à basse altitude, AtmoAura. Les résultats montrent que lorsque le PUY est en TL, les concentrations des PM1 (particules de diamètre inférieur à 1 µm) sont plus faibles au PUY qu’à AtmoAura, ce qui confirme notre classification. Lorsque le PUY est en CL, la composition en aérosol est similaire pour les deux sites, ce qui a permis de quantifier la contribution de la pollution urbaine locale issue de la ville de Clermont-Ferrand. / Aerosol particles are important due to their direct and indirect impacts on climate. Within the planetary boundary layer (BL), these particles have a relatively short lifetime due to their frequent removal process by wet deposition. When aerosols are transported into the free troposphere (FT), their atmospheric lifetime increases significantly, making them representative of large spatial areas. In this work, we use a combination of in situ measurements performed at the high altitude PUY (Puy de Dôme, 45°46’ N, 2°57’E, 1465 m asl) station, together with LIDAR profiles at Clermont-Ferrand for characterizing FT conditions, and further characterize the physical and chemical properties of aerosol in this poorly documented area of the atmosphere. First, a combination of four criteria was used to identify whether the PUY station lies within the FT or within the BL. Results show that the PUY station is located in BL with frequencies ranging from 50% during the winter, up to 97% during the summer. Then, the classification is applied to a year-long dataset of particle size distribution and NR-PM1 data’s to study the differences in particle physical and chemical characteristics and BC concentrations between the FT and the BL. Based on this segregation, we observed higher concentrations in the BL compared to FT for BC, Aitken and accumulation mode particle concentrations for most seasons, as expected from larger sources originating from the surface. However, BC, Aitken mode, accumulation mode and organic aerosols concentrations were higher in the FT compared to BL during spring. These organic aerosols were identified as aged/less aged, and were correlated with sulphate and BC and we suspect that the higher concentrations of particles observed in the FT compared to BL during spring originate from direct injection of BB aerosols in the FT through strong heat convection. No significant difference between the BL and the FT concentrations was observed for the nucleation mode particles for all seasons, suggesting a continuous additional source of nucleation mode particles in the FT during winter and autumn. Coarse mode particle concentrations were found higher in the FT than in the BL for all seasons and especially during summer. This indicates an efficient long-range transport of large particles in the FT from distant sources (marine and desert) due to higher wind speeds in the FT compared to BL. For FT air masses, we used 204-h air mass back-trajectories combined with boundary layer height estimations from ECMWF ERA-Interim to assess the time they spent in the FT since their last contact with the BL and to evaluate the impact of this parameter on the aerosol properties. We observed that even after 75 h without any contact with the BL, FT aerosols preserve specific properties of their air mass type. This manuscript is also presenting a study of simultaneous measurements at PUY and an urban low altitude station AtmoAura. Results show that when the PUY is influenced by FT air masses, the PM1 species are lower at the PUY compared to AtmoAura confirming our classification. When the PUY is predicted to lay within the BL, the aerosol composition was similar among the two sites for several species, which allowed for a quantification of the local urban pollution contribution for the species enhanced within the city of Clermont-Ferrand.

Cette thèse a pour objectif de fournir aux utilisateurs de SMPS (Scanning Mobility Particle Sizer) une méthodologie pour calculer les incertitudes associées à l’estimation de la granulométrie en nombre des aérosols. Le résultat de mesure est le comptage des particules de l’aérosol en fonction du temps. Estimer la granulométrie en nombre de l’aérosol à partir des mesures CNC revient à considérer un problème inverse sous incertitudes.Une revue des modèles existants est présentée dans le premier chapitre. Le modèle physique retenu fait consensus dans le domaine d’application.Dans le deuxième chapitre, un critère pour l’estimation de la granulométrie en nombre qui couple les techniques de régularisation et de la décomposition sur une base d’ondelettes est décrit.La nouveauté des travaux présentés réside dans l’estimation de granulométries présentant à la fois des variations lentes et des variations rapides. L’approche multi-échelle que nous proposons pour la définition du nouveau critère de régularisation permet d’ajuster les poids de la régularisation sur chaque échelle du signal. La méthode est alors comparée avec la régularisation classique. Les résultats montrent que les estimations proposées par la nouvelle méthode sont meilleures (au sens du MSE) que les estimations classiques.Le dernier chapitre de cette thèse traite de la propagation de l’incertitude à travers le modèle d’inversiondes données. C’est une première dans le domaine d’application car aucune incertitude n’est associée actuellement au résultat de mesure. Contrairement à l’approche classique qui utilise un modèle fixe pour l’inversion en faisant porter l’incertitude sur les entrées, nous proposons d’utiliser un modèle d’inversion aléatoire (tirage Monte-Carlo) afin d’intégrer les erreurs de modèle. Une estimation moyenne de la granulométrie en nombre de l’aérosol et une incertitude associée sous forme d’une région de confiance à 95 % est finalement présentée sur quelques mesures réelles. / This thesis aims to provide SMPS (Scanning Mobility Particle Sizer) users with a methodology to compute the uncertainties associated with the estimation of aerosol size distributions. Recovering aerosol size distribution yields to consider an inverse problem under uncertainty.The first chapter of his thesis presents a review of physical models and it shows that competitive theories exist to model the physic.A new criterion that couples regularization techniques and decomposition on a wavelet basis is described in chapter 2 to perform the estimation of the size distribution.Main improvement of this work is brought when size distributions to be estimated show both broad and sharp profiles. The multi-scale approach helps to adjust the weights of the regularization on each scale of the signal. The method is then tested against common regularization and shows better estimates (in terms of the mean square error).Last chapter of this thesis deals with the propagation of the uncertainty through the data inversion process.Results from SMPS measurements are not given with any uncertainty at this time so providing end-users with an uncertainty is already a real improvement. Common approach is to consider a fixed physical model and to model the inputs (particle count) as random. We choose to consider both the physical model as well as the inputs as random to account for the model error. The result is expressed as a mean estimate of the size distribution with a 95% coverage region. The all methodology is finally tested on real measurements.

Marine aerosols have attracted increasing attention over the past 15 years because of their potential significance for global climate modelling. The size distribution of these aerosols extends from super-micrometer sea salt mode particles down through 150 nm accumulation mode particles, 40 nm Aitken mode particles and nucleation mode particles which extend from 25 nm right down to clusters of a few molecules. The process by which the submicrometer modes form and grow and their composition have remained topics of debate throughout this time in large part because of the difficulties associated with determining their composition and relating it to proposed models of the formation process. The work compared the modality of marine aerosol influencing the South-east-Queensland region with that of other environmental aerosols in the region. The aerosol was found to be consistent with marine aerosols observed elsewhere with concentrations below 1000 cm-3 and frequently exhibiting the distinct bimodal structure associated with cloud processing, consisting of an Aitken mode at approximately 40 nm, an accumulation mode in the range 100-200 nm and a coarse mode attributed to sea salt between 600 and 1200 nm. This work included the development of two new techniques for aerosol research. The first technique measures aerosol density using a combination of aerosol size distribution and gravimetric mass concentration measurements. This technique was used to measure the density of a number of submicrometer aerosols including laboratory generated NaCl aerosol and ambient aerosol. The densities for the laboratory generated aerosols were found to be similar to those for the bulk materials used to produce them. The technique, extended to super-micrometer particle size range may find application in ambient aerosol research where it could be used to discriminate between periods when the aerosol is dominated by NaCl and periods when the density is more representative of crustal material or sulfates. The technique may also prove useful in laboratory or industrial settings for investigating particle density or in case where the composition is known, morphology and porosity. The second technique developed, integrates the existing physicochemical techniques of volatilisation and hygroscopic growth analysis to investigate particle composition in terms of both the volatilisation temperatures of the chemical constituents and their contribution to particle hygroscopic behaviour. The resulting volatilisation and humidification tandem differential mobility analyser or VH-TDMA, has proven to be a valuable research tool which is being used in ongoing research. Findings of investigations relating the composition of the submicrometer marine aerosol modes to candidate models for their formation are presented. Sea salt was not found in the numerically dominant particle type in coastal nucleation mode or marine Aitken and accumulation modes examined on the Southeast Queensland coast during periods where back trajectories indicated marine origin. The work suggests that all three submicrometer modes contain the same four volatile chemical species and an insoluble non-volatile residue. The volatility and hygroscopic behaviours of the particles are consistent with a composition consisting of a core composed of sulfuric acid, ammonium sulfate and an iodine oxide coated with a volatile organic compound. The volume fraction of the sulfuric acid like species in the particles shows a strong dependence on particle size.