Littérature scientifique sur le sujet « Aerosol microphysical properties »
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Articles de revues sur le sujet "Aerosol microphysical properties"
Zheng, Xiaojian, Baike Xi, Xiquan Dong, Timothy Logan, Yuan Wang et Peng Wu. « Investigation of aerosol–cloud interactions under different absorptive aerosol regimes using Atmospheric Radiation Measurement (ARM) southern Great Plains (SGP) ground-based measurements ». Atmospheric Chemistry and Physics 20, no 6 (24 mars 2020) : 3483–501. http://dx.doi.org/10.5194/acp-20-3483-2020.
Texte intégralWandinger, Ulla, Athena Augusta Floutsi, Holger Baars, Moritz Haarig, Albert Ansmann, Anja Hünerbein, Nicole Docter et al. « HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE ». Atmospheric Measurement Techniques 16, no 10 (25 mai 2023) : 2485–510. http://dx.doi.org/10.5194/amt-16-2485-2023.
Texte intégralFan, Jiwen, Yuan Wang, Daniel Rosenfeld et Xiaohong Liu. « Review of Aerosol–Cloud Interactions : Mechanisms, Significance, and Challenges ». Journal of the Atmospheric Sciences 73, no 11 (6 octobre 2016) : 4221–52. http://dx.doi.org/10.1175/jas-d-16-0037.1.
Texte intégralNugent, Alison D., Campbell D. Watson, Gregory Thompson et Ronald B. Smith. « Aerosol Impacts on Thermally Driven Orographic Convection ». Journal of the Atmospheric Sciences 73, no 8 (25 juillet 2016) : 3115–32. http://dx.doi.org/10.1175/jas-d-15-0320.1.
Texte intégralMilinevsky, G., Ya Yatskiv, O. Degtyaryov, I. Syniavskyi, Yu Ivanov, A. Bovchaliuk, M. Mishchenko, V. Danylevsky, M. Sosonkin et V. Bovchaliuk. « Remote sensing of aerosol in the terrestrial atmosphere from space : new missions ». Advances in Astronomy and Space Physics 5, no 1 (2015) : 11–16. http://dx.doi.org/10.17721/2227-1481.5.11-16.
Texte intégralVanderlei Martins, J., A. Marshak, L. A. Remer, D. Rosenfeld, Y. J. Kaufman, R. Fernandez-Borda, I. Koren, V. Zubko et P. Artaxo. « Remote sensing the vertical profile of cloud droplet effective radius, thermodynamic phase, and temperature ». Atmospheric Chemistry and Physics Discussions 7, no 2 (30 mars 2007) : 4481–519. http://dx.doi.org/10.5194/acpd-7-4481-2007.
Texte intégralMartins, J. V., A. Marshak, L. A. Remer, D. Rosenfeld, Y. J. Kaufman, R. Fernandez-Borda, I. Koren, A. L. Correia, V. Zubko et P. Artaxo. « Remote sensing the vertical profile of cloud droplet effective radius, thermodynamic phase, and temperature ». Atmospheric Chemistry and Physics 11, no 18 (16 septembre 2011) : 9485–501. http://dx.doi.org/10.5194/acp-11-9485-2011.
Texte intégralMeland, B. S., X. Xu, D. K. Henze et J. Wang. « Assessing remote polarimetric measurement sensitivities to aerosol emissions using the geos-chem adjoint model ». Atmospheric Measurement Techniques 6, no 12 (10 décembre 2013) : 3441–57. http://dx.doi.org/10.5194/amt-6-3441-2013.
Texte intégralMeland, B. S., X. Xu, D. K. Henze et J. Wang. « Assessing remote polarimetric measurements sensitivities to aerosol emissions using the GEOS-Chem adjoint model ». Atmospheric Measurement Techniques Discussions 6, no 3 (19 juin 2013) : 5447–93. http://dx.doi.org/10.5194/amtd-6-5447-2013.
Texte intégralKipling, Zak, Laurent Labbouz et Philip Stier. « Global response of parameterised convective cloud fields to anthropogenic aerosol forcing ». Atmospheric Chemistry and Physics 20, no 7 (17 avril 2020) : 4445–60. http://dx.doi.org/10.5194/acp-20-4445-2020.
Texte intégralThèses sur le sujet "Aerosol microphysical properties"
Hamburger, Thomas. « Aerosol microphysical properties during anticyclonic flow conditions over Europe ». Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-127766.
Texte intégralWurl, Daniela. « Optimal Estimation Retrieval of Aerosol Microphysical Properties in the Lower Stratosphere from SAGE II Satellite Observations ». Thesis, University of Canterbury. Physics and Astronomy, 2007. http://hdl.handle.net/10092/1533.
Texte intégralWagner, Janet. « Microphysical aerosol properties retrieved from combined lidar and sun photometer measurements ». Master's thesis, Universitätsbibliothek Leipzig, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-99830.
Texte intégralSchmidt, Jörg. « Dual-field-of-view Raman lidar measurements of cloud microphysical properties ». Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-150408.
Texte intégralNichman, Leonid. « Optical measurements of the microphysical properties of aerosol and small cloud particles in the CLOUD project ». Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/optical-measurements-of-the-microphysical-properties-of-aerosol-and-small-cloud-particles-in-the-cloud-project(ad792d0c-90d1-4704-b666-b75d284b40fe).html.
Texte intégralDitas, Florian. « Microphysical properties of aerosol particles in the trade wind regime and their influence on the number concentration of activated particles in trade wind cumulus clouds ». Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-151594.
Texte intégralWithin the scope of this dissertation, microphysical properties of aerosol particles in the trade wind regime and their influence on microphysical properties of trade wind cumulus clouds have been investigated. The study is based on measurements performed with the helicopter-borne measurement platform ACTOS. Two intensive measurement periods were carried out in November 2010 and April 2011, including 31 research flights close to the easternmost Caribbean island - Barbados. Aerosol particle number size distributions show a bimodal structure, which is typical for marine aerosol particles. The total particle concentrations of approximately 100-1000 cm-3 are compared to continental conditions relatively low. A statistical analysis of individual clouds reveals typical number concentrations of activated particles up to 400 cm-3 and minimum activation diameters between 40 and 180 nm with corresponding critical supersaturations between 0.1 and 1%. Additionally, major factors affecting the number concentration of activated particles are identifed: 1) vertical wind velocity at cloud base and, 2) number concentration of available aerosol particles as potential cloud condensation nuclei. With the help of observational data and a comprehensive sensitivity study using a spectral cloud microphysical parcel model, the sensitivity of the cloud droplet number concentration towards changes in the microphysical aerosol particle properties and their hygroscopicity has been investigated. Observational results in terms of so-called aerosol-cloud interactions metrics (describes a measure of the influence of changes in one specific aerosol property on one specific cloud property) show a very high sensitivity (close to the physical meaningful maximum of unity) of the number concentration of activated particles towards changes in the particle number concentration. These aerosol-cloud interaction metrics can be used as basis for observationally-based radiative forcing estimates. Additional model calculations cover the entire range of the observed aerosol properties during both campaigns. The results underline particularly the importance of the physical aerosol properties. The calculated susceptibility (valuation: 0-1) of the droplet number concentration towards changes in the particle number concentration is highest (> 0.9) for accumulation mode dominated particle number size distributions and decreases for Aitken mode dominated size distributions (> 0.6). In contrast, for the modeled parameter space, the sensitivity towards changes in the particle hygroscopicity is generally below 0.4. The findings presented in this study represent a comprehensive characterization of aerosol and cloud microphysical properties in the trade wind regime. These findings may help to evaluate the predicted sensitivity of cloud microphysical properties by climate models towards changes in particle microphysical properties and reduce the uncertainties in climate sensitivity estimates
Schmidt, Jörg [Verfasser], Andreas [Akademischer Betreuer] Macke, Andreas [Gutachter] Macke et Herman [Gutachter] Russchenberg. « Dual-field-of-view Raman lidar measurements of cloud microphysical properties : Investigation of aerosol-cloud interactions / Jörg Schmidt ; Gutachter : Andreas Macke, Herman Russchenberg ; Betreuer : Andreas Macke ». Leipzig : Universitätsbibliothek Leipzig, 2014. http://d-nb.info/123878867X/34.
Texte intégralDitas, Florian [Verfasser], Alfred [Gutachter] Wiedensohler et Alfons [Gutachter] Schwarzenböck. « Microphysical properties of aerosol particles in the trade wind regime and their influence on the number concentration of activated particles in trade wind cumulus clouds / Florian Ditas ; Gutachter : Alfred Wiedensohler, Alfons Schwarzenböck ». Leipzig : Universitätsbibliothek Leipzig, 2014. http://d-nb.info/1238789293/34.
Texte intégralChang, Yuyang. « Développement d'un nouvelle technique de mesure du profil atmosphérique en aérosols à l'aide d'un lidar Raman-dépolarisation-fluorescence ». Electronic Thesis or Diss., Université de Lille (2022-....), 2023. https://pepite-depot.univ-lille.fr/ToutIDP/EDSMRE/2023/2023ULILR060.pdf.
Texte intégralVertical information on aerosol optical and microphysical properties is of significant importance to study aerosol evolution, transport, as well as their impacts on human health, local environment and global climate. This thesis developed an algorithm, the Basic algOrithm for REtrieval of Aerosol with Lidar (BOREAL), for retrieving heigh-resolved aerosol microphysical properties from combinations of extinction, backscattering and depolarization lidar measurements. Based on maximum likelihood estimation, the retrieval algorithm uses a nonlinear iteration approach to search for the best fit to both measurements and constraints. The retrieved aerosol microphysical properties include particle size distribution, volume concentration, effective radius, complex refractive index (CRI) and single scattering albedo (SSA).The performance of BOREAL, retrieval accuracy and measurement sensitivity are assessed through simulated data. In general, retrieval accuracy is higher for fine-mode particles than coarse-mode particles. The simulations demonstrate the importance of exploiting a priori constraint to improve the retrieval accuracy of CRI and SSA. Apart from spherical particles, performance of retrieving non-spherical particles is also evaluated by integrating three different particle scattering models, i.e., the Sphere, Spheroid and Irregular-Hexahedral (IH) models, into BOREAL. The results show incorporating depolarization measurements into inversion is essential to better constrain and stabilize the retrieval. Besides, approximating non-spherical particles to spheres will evidently degrade retrieval quality in cases of lidar measurements. In addition, BOREAL is applied to real lidar observations of different aerosol types, including biomass burning, dust and continental polluted aerosols at the ATOLL observatory. Results are analyzed and compared with retrievals from AERONET and previous studies, which demonstrates the robustness of BOREAL for real data application and aerosol characterization.Overall, this work contributes to Labex CaPPA and ACTRIS efforts to better quantify aerosol microphysical properties using lidar measurements
Ridley, David A. « Aerosol Radiative Properties Analysed using Global Models of Aerosol Microphysics ». Thesis, University of Leeds, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494262.
Texte intégralChapitres de livres sur le sujet "Aerosol microphysical properties"
Obiso, V., M. Pandolfi, M. Ealo et O. Jorba. « Impact of Aerosol Microphysical Properties on Mass Scattering Cross Sections ». Dans Air Pollution Modeling and its Application XXV, 599–604. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57645-9_93.
Texte intégralPugatshova, Anna, Ülle Kikas, Margit Prüssel, Aivo Reinart, Eduard Tamm et Vidmantas Ulevicius. « Relationship of Aerosol Microphysical Properties and Chemical Composition of Aerosol in the Baltic Sea Region ». Dans Nucleation and Atmospheric Aerosols, 711–15. Dordrecht : Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6475-3_140.
Texte intégralPanda, Jagabandhu, et Sunny Kant. « Impact of Urban and Semi-urban Aerosols on the Cloud Microphysical Properties and Precipitation ». Dans Air Pollution and Its Complications, 25–36. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70509-1_3.
Texte intégralBalis, D., E. Giannakaki, V. Amiridis, R. E. Mamouri, P. Kokkalis, G. Tsaknakis et A. Papayannis. « Forest Fire Aerosols : Vertically Resolved Optical and Microphysical Properties and Mass Concentration from Lidar Observations ». Dans Advances in Meteorology, Climatology and Atmospheric Physics, 905–10. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29172-2_126.
Texte intégralRapp, Markus, Irina Strelnikova, Boris Strelnikov, Martin Friedrich, Jörg Gumbel, Ulf-Peter Hoppe, Tom Blix et al. « Microphysical Properties of Mesospheric Aerosols : An Overview of In Situ-Results from the ECOMA Project ». Dans Aeronomy of the Earth's Atmosphere and Ionosphere, 67–74. Dordrecht : Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0326-1_4.
Texte intégralCharlson, R. J. « The Vanishing Climatic Role of Dimethyl Sulfide ». Dans Biotic Feedbacks in the Global Climatic System, 251–62. Oxford University PressNew York, NY, 1995. http://dx.doi.org/10.1093/oso/9780195086409.003.0017.
Texte intégralDeMott, Paul. « Laboratory Studies of Cirrus Cloud Processes ». Dans Cirrus. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195130720.003.0009.
Texte intégralP. Barros, Ana, Prabhakar Shrestha, Steven Chavez et Yajuan Duan. « Modeling Aerosol-Cloud-Precipitation Interactions in Mountainous Regions : Challenges in the Representation of Indirect Microphysical Effects with Impacts at Subregional Scales ». Dans Rainfall - Extremes, Distribution and Properties. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.80025.
Texte intégralActes de conférences sur le sujet "Aerosol microphysical properties"
Ferrare, R. A., S. H. Melfi, D. N. Whiteman et K. D. Evans. « Coincident Measurements of Atmospheric Aerosol Properties and Water Vapor by a Scanning Raman Lidar ». Dans Optical Remote Sensing of the Atmosphere. Washington, D.C. : Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.mb.2.
Texte intégralXu Liu. « Aerosol microphysical properties retrievals from high spectral resolution lidar data ». Dans 2016 Progress in Electromagnetic Research Symposium (PIERS). IEEE, 2016. http://dx.doi.org/10.1109/piers.2016.7735285.
Texte intégralWandinger, Ulla. « Raman-lidar technique for tropospheric and stratospheric sensing of aerosol optical and microphysical properties ». Dans Optical Remote Sensing of the Atmosphere. Washington, D.C. : Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.wc1.
Texte intégralCutten, D. R., E. W. McCaul, J. D. Spinhirne, R. T. Menzies, R. Pueschel, A. D. Clarke et D. A. Bowdle. « Comparison of Remotely Measured Multispectral Scattering Parameters For Tropospheric Aerosols. » Dans Optical Remote Sensing of the Atmosphere. Washington, D.C. : Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.the.18.
Texte intégralGras, John L. « Australian Free Tropospheric Aerosol Measurements ». Dans Coherent Laser Radar. Washington, D.C. : Optica Publishing Group, 1987. http://dx.doi.org/10.1364/clr.1987.wa7.
Texte intégralShao, Jiangfeng, et Jiandong Mao. « The observations of aerosol optical and microphysical properties by using a multi-wavelength lidar ». Dans Applied Optics and Photonics China (AOPC2015), sous la direction de Haimei Gong, Nanjian Wu, Yang Ni, Weibiao Chen et Jin Lu. SPIE, 2015. http://dx.doi.org/10.1117/12.2199489.
Texte intégralAnsmann, A., D. Müller, U. Wandinger et R. E. Mamouri. « Lidar profiling of aerosol optical and microphysical properties from space : overview, review, and outlook ». Dans First International Conference on Remote Sensing and Geoinformation of Environment, sous la direction de Diofantos G. Hadjimitsis, Kyriacos Themistocleous, Silas Michaelides et George Papadavid. SPIE, 2013. http://dx.doi.org/10.1117/12.2028112.
Texte intégralBockmann, C., L. Osterloh, P. Pornsawad, D. Muller et A. Papayannis. « From EARLINET-ASOS Raman-Lidar Signals to Microphysical Aerosol Properties Via Advanced Regularizing Software ». Dans IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4779018.
Texte intégralZhamsueva, Galina, Alexander Zayakhanov, Vadim Tsydypov, Tumen Balzhanov, Ayuna Dementeva, Alexey Starikov, Sergey Naguslaev, Yuriy Balin, Dolgorsuren Azzaya et Dugerjav Oyunchimeg. « Chemical composition, microphysical and optical properties of aerosol in the atmosphere of the arid territories of Mongolia ». Dans XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, sous la direction de Oleg A. Romanovskii et Gennadii G. Matvienko. SPIE, 2018. http://dx.doi.org/10.1117/12.2502030.
Texte intégralAjtai, Nicolae. « CHARACTERIZATION OF AEROSOL OPTICAL AND MICROPHYSICAL PROPERTIES OVER NORTH-WESTERN ROMANIA IN CORRELATION WITH PREDOMINANT ATMOSPHERIC CIRCULATION PATTERNS ». Dans 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/41/s19.048.
Texte intégralRapports d'organisations sur le sujet "Aerosol microphysical properties"
Jerry, Harrington, et Nathan Magee. Final Report : Characterizing the Small-Scale Dynamical, Ice Microphysical, and Residual ; Aerosol Properties of Mid-Latitude Cold Clouds : A Pilot Study. Office of Scientific and Technical Information (OSTI), décembre 2023. http://dx.doi.org/10.2172/2248071.
Texte intégralHostetler, Chris, et Richard Ferrare. Final Technical Report for Interagency Agreement No. DE-SC0005453 “Characterizing Aerosol Distributions, Types, and Optical and Microphysical Properties using the NASA Airborne High Spectral Resolution Lidar (HSRL) and the Research Scanning Polarimeter (RSP)”. Office of Scientific and Technical Information (OSTI), janvier 2015. http://dx.doi.org/10.2172/1167162.
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