Articles | Volume 23, issue 4
https://doi.org/10.5194/acp-23-2557-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-2557-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Single-scattering properties of ellipsoidal dust aerosols constrained by measured dust shape distributions
Department of Atmospheric and Oceanic Sciences, University of
California, Los Angeles, CA 90095, USA
now at: Earth Institute, Columbia University, New York, NY 10025,
USA
NASA Goddard Institute for Space Studies (GISS), New York, NY
10025, USA
Jasper F. Kok
Department of Atmospheric and Oceanic Sciences, University of
California, Los Angeles, CA 90095, USA
Masanori Saito
Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA
Olga Muñoz
Instituto de Astrofísica de Andalucía (IAA-CSIC), Granada
18008, Spain
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Cristina González-Flórez, Martina Klose, Andrés Alastuey, Sylvain Dupont, Jerónimo Escribano, Vicken Etyemezian, Adolfo Gonzalez-Romero, Yue Huang, Konrad Kandler, George Nikolich, Agnesh Panta, Xavier Querol, Cristina Reche, Jesús Yus-Díez, and Carlos Pérez García-Pando
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Atmospheric mineral dust consists of tiny mineral particles that are emitted by wind erosion from arid regions. Its particle size distribution (PSD) affects its impact on the Earth's system. Nowadays, there is an incomplete understanding of the emitted dust PSD and a lot of debate about its variability. Here, we try to address these issues based on the measurements performed during a wind erosion and dust emission field campaign in the Moroccan Sahara within the framework of FRAGMENT project.
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This study advances mineral dust parameterizations in the Community Atmospheric Model (CAM; version 6.1). Efforts include 1) incorporating a more physically based dust emission scheme; 2) updating the dry deposition scheme; and 3) revising the gravitational settling velocity to account for dust asphericity. Substantial improvements achieved with these updates can help accurately quantify dust–climate interactions using CAM, such as the dust-radiation and dust–cloud interactions.
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This paper provides with standardized correction factors for the measurements of the most common instruments used in the atmosphere to measure the concentration per size of aerosol particles. These correction factors are provided to users with supplementary information for their use.
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We improve the simulated dust properties of size-resolved dust concentration and particle shape. The improved simulation suggests much less atmospheric radiative heating near the major source regions, because of enhanced longwave warming at the surface by the synergy of coarser size and aspherical shape. Less intensified atmospheric heating could substantially modify the vertical temperature profile in Earth system models and thus has important implications for the projection of dust feedback.
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Mineral soil dust is a major atmospheric airborne particle type. We present and evaluate MONARCH, a model used for regional and global dust-weather prediction. An important feature of the model is that it allows different approximations to represent dust, ranging from more simplified to more complex treatments. Using these different treatments, MONARCH can help us better understand impacts of dust in the Earth system, such as its interactions with radiation.
Jasper F. Kok, Adeyemi A. Adebiyi, Samuel Albani, Yves Balkanski, Ramiro Checa-Garcia, Mian Chin, Peter R. Colarco, Douglas S. Hamilton, Yue Huang, Akinori Ito, Martina Klose, Danny M. Leung, Longlei Li, Natalie M. Mahowald, Ron L. Miller, Vincenzo Obiso, Carlos Pérez García-Pando, Adriana Rocha-Lima, Jessica S. Wan, and Chloe A. Whicker
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Desert dust interacts with virtually every component of the Earth system, including the climate system. We develop a new methodology to represent the global dust cycle that integrates observational constraints on the properties and abundance of desert dust with global atmospheric model simulations. We show that the resulting representation of the global dust cycle is more accurate than what can be obtained from a large number of current climate global atmospheric models.
Jasper F. Kok, Adeyemi A. Adebiyi, Samuel Albani, Yves Balkanski, Ramiro Checa-Garcia, Mian Chin, Peter R. Colarco, Douglas S. Hamilton, Yue Huang, Akinori Ito, Martina Klose, Longlei Li, Natalie M. Mahowald, Ron L. Miller, Vincenzo Obiso, Carlos Pérez García-Pando, Adriana Rocha-Lima, and Jessica S. Wan
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The many impacts of dust on the Earth system depend on dust mineralogy, which varies between dust source regions. We constrain the contribution of the world’s main dust source regions by integrating dust observations with global model simulations. We find that Asian dust contributes more and that North African dust contributes less than models account for. We obtain a dataset of each source region’s contribution to the dust cycle that can be used to constrain dust impacts on the Earth system.
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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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This study uses a premier Earth system model to evaluate a new desert dust emission scheme proposed in our companion paper. We show that our scheme accounts for more dust emission physics, hence matching better against observations than other existing dust emission schemes do. Our scheme's dust emissions also couple tightly with meteorology, hence likely improving the modeled dust sensitivity to climate change. We believe this work is vital for improving dust representation in climate models.
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Estimating past aerosol radiative effects and their uncertainties is an important topic in climate science. Aerosol radiative effects propagate into large uncertainties in estimates of how present and future climate evolves with changing greenhouse gas emissions. A deeper understanding of how aerosols interacted with the atmospheric energy budget under past climates is hindered in part by a lack of relevant paleo-observations and in part because less attention has been paid to the problem.
Jianyu Zheng, Zhibo Zhang, Hongbin Yu, Anne Garnier, Qianqian Song, Chenxi Wang, Claudia Di Biagio, Jasper F. Kok, Yevgeny Derimian, and Claire Ryder
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We developed a multi-year satellite-based retrieval of dust optical depth at 10 µm and the coarse-mode dust effective diameter over global oceans. It reveals climatological coarse-mode dust transport patterns and regional differences over the North Atlantic, the Indian Ocean and the North Pacific.
Cristina González-Flórez, Martina Klose, Andrés Alastuey, Sylvain Dupont, Jerónimo Escribano, Vicken Etyemezian, Adolfo Gonzalez-Romero, Yue Huang, Konrad Kandler, George Nikolich, Agnesh Panta, Xavier Querol, Cristina Reche, Jesús Yus-Díez, and Carlos Pérez García-Pando
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Atmospheric mineral dust consists of tiny mineral particles that are emitted by wind erosion from arid regions. Its particle size distribution (PSD) affects its impact on the Earth's system. Nowadays, there is an incomplete understanding of the emitted dust PSD and a lot of debate about its variability. Here, we try to address these issues based on the measurements performed during a wind erosion and dust emission field campaign in the Moroccan Sahara within the framework of FRAGMENT project.
Danny M. Leung, Jasper F. Kok, Longlei Li, Gregory S. Okin, Catherine Prigent, Martina Klose, Carlos Pérez García-Pando, Laurent Menut, Natalie M. Mahowald, David M. Lawrence, and Marcelo Chamecki
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Desert dust modeling is important for understanding climate change, as dust regulates the atmosphere's greenhouse effect and radiation. This study formulates and proposes a more physical and realistic desert dust emission scheme for global and regional climate models. By considering more aeolian processes in our emission scheme, our simulations match better against dust observations than existing schemes. We believe this work is vital in improving dust representation in climate models.
Longlei Li, Natalie M. Mahowald, Jasper F. Kok, Xiaohong Liu, Mingxuan Wu, Danny M. Leung, Douglas S. Hamilton, Louisa K. Emmons, Yue Huang, Neil Sexton, Jun Meng, and Jessica Wan
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This study advances mineral dust parameterizations in the Community Atmospheric Model (CAM; version 6.1). Efforts include 1) incorporating a more physically based dust emission scheme; 2) updating the dry deposition scheme; and 3) revising the gravitational settling velocity to account for dust asphericity. Substantial improvements achieved with these updates can help accurately quantify dust–climate interactions using CAM, such as the dust-radiation and dust–cloud interactions.
Qianqian Song, Zhibo Zhang, Hongbin Yu, Jasper F. Kok, Claudia Di Biagio, Samuel Albani, Jianyu Zheng, and Jiachen Ding
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This study developed a dataset that enables us to efficiently calculate dust direct radiative effect (DRE, i.e., cooling or warming our planet) for any given dust size distribution in addition to three sets of dust mineral components and two dust shapes. We demonstrate and validate the method of using this dataset to calculate dust DRE. Moreover, using this dataset we found that dust mineral composition is a more important factor in determining dust DRE than dust size and shape.
Antonis Gkikas, Emmanouil Proestakis, Vassilis Amiridis, Stelios Kazadzis, Enza Di Tomaso, Eleni Marinou, Nikos Hatzianastassiou, Jasper F. Kok, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 22, 3553–3578, https://doi.org/10.5194/acp-22-3553-2022, https://doi.org/10.5194/acp-22-3553-2022, 2022
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We present a comprehensive climatological analysis of dust optical depth (DOD) relying on the MIDAS dataset. MIDAS provides columnar mid-visible (550 nm) DOD at fine spatial resolution (0.1° × 0.1°) over a 15-year period (2003–2017). In the current study, the analysis is performed at various spatial (from regional to global) and temporal (from months to years) scales. More specifically, focus is given to specific regions hosting the major dust sources as well as downwind areas of the planet.
Paola Formenti, Claudia Di Biagio, Yue Huang, Jasper Kok, Marc Daniel Mallet, Damien Boulanger, and Mathieu Cazaunau
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-403, https://doi.org/10.5194/amt-2021-403, 2021
Publication in AMT not foreseen
Short summary
Short summary
This paper provides with standardized correction factors for the measurements of the most common instruments used in the atmosphere to measure the concentration per size of aerosol particles. These correction factors are provided to users with supplementary information for their use.
Akinori Ito, Adeyemi A. Adebiyi, Yue Huang, and Jasper F. Kok
Atmos. Chem. Phys., 21, 16869–16891, https://doi.org/10.5194/acp-21-16869-2021, https://doi.org/10.5194/acp-21-16869-2021, 2021
Short summary
Short summary
We improve the simulated dust properties of size-resolved dust concentration and particle shape. The improved simulation suggests much less atmospheric radiative heating near the major source regions, because of enhanced longwave warming at the surface by the synergy of coarser size and aspherical shape. Less intensified atmospheric heating could substantially modify the vertical temperature profile in Earth system models and thus has important implications for the projection of dust feedback.
Martina Klose, Oriol Jorba, María Gonçalves Ageitos, Jeronimo Escribano, Matthew L. Dawson, Vincenzo Obiso, Enza Di Tomaso, Sara Basart, Gilbert Montané Pinto, Francesca Macchia, Paul Ginoux, Juan Guerschman, Catherine Prigent, Yue Huang, Jasper F. Kok, Ron L. Miller, and Carlos Pérez García-Pando
Geosci. Model Dev., 14, 6403–6444, https://doi.org/10.5194/gmd-14-6403-2021, https://doi.org/10.5194/gmd-14-6403-2021, 2021
Short summary
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Mineral soil dust is a major atmospheric airborne particle type. We present and evaluate MONARCH, a model used for regional and global dust-weather prediction. An important feature of the model is that it allows different approximations to represent dust, ranging from more simplified to more complex treatments. Using these different treatments, MONARCH can help us better understand impacts of dust in the Earth system, such as its interactions with radiation.
Jasper F. Kok, Adeyemi A. Adebiyi, Samuel Albani, Yves Balkanski, Ramiro Checa-Garcia, Mian Chin, Peter R. Colarco, Douglas S. Hamilton, Yue Huang, Akinori Ito, Martina Klose, Danny M. Leung, Longlei Li, Natalie M. Mahowald, Ron L. Miller, Vincenzo Obiso, Carlos Pérez García-Pando, Adriana Rocha-Lima, Jessica S. Wan, and Chloe A. Whicker
Atmos. Chem. Phys., 21, 8127–8167, https://doi.org/10.5194/acp-21-8127-2021, https://doi.org/10.5194/acp-21-8127-2021, 2021
Short summary
Short summary
Desert dust interacts with virtually every component of the Earth system, including the climate system. We develop a new methodology to represent the global dust cycle that integrates observational constraints on the properties and abundance of desert dust with global atmospheric model simulations. We show that the resulting representation of the global dust cycle is more accurate than what can be obtained from a large number of current climate global atmospheric models.
Jasper F. Kok, Adeyemi A. Adebiyi, Samuel Albani, Yves Balkanski, Ramiro Checa-Garcia, Mian Chin, Peter R. Colarco, Douglas S. Hamilton, Yue Huang, Akinori Ito, Martina Klose, Longlei Li, Natalie M. Mahowald, Ron L. Miller, Vincenzo Obiso, Carlos Pérez García-Pando, Adriana Rocha-Lima, and Jessica S. Wan
Atmos. Chem. Phys., 21, 8169–8193, https://doi.org/10.5194/acp-21-8169-2021, https://doi.org/10.5194/acp-21-8169-2021, 2021
Short summary
Short summary
The many impacts of dust on the Earth system depend on dust mineralogy, which varies between dust source regions. We constrain the contribution of the world’s main dust source regions by integrating dust observations with global model simulations. We find that Asian dust contributes more and that North African dust contributes less than models account for. We obtain a dataset of each source region’s contribution to the dust cycle that can be used to constrain dust impacts on the Earth system.
Longlei Li, Natalie M. Mahowald, Ron L. Miller, Carlos Pérez García-Pando, Martina Klose, Douglas S. Hamilton, Maria Gonçalves Ageitos, Paul Ginoux, Yves Balkanski, Robert O. Green, Olga Kalashnikova, Jasper F. Kok, Vincenzo Obiso, David Paynter, and David R. Thompson
Atmos. Chem. Phys., 21, 3973–4005, https://doi.org/10.5194/acp-21-3973-2021, https://doi.org/10.5194/acp-21-3973-2021, 2021
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For the first time, this study quantifies the range of the dust direct radiative effect due to uncertainty in the soil mineral abundance using all currently available information. We show that the majority of the estimated direct radiative effect range is due to uncertainty in the simulated mass fractions of iron oxides and thus their soil abundance, which is independent of the model employed. We therefore prove the necessity of considering mineralogy for understanding dust–climate interactions.
Cited articles
Adebiyi, A. A. and Kok, J. F.: Climate models miss most of the coarse dust
in the atmosphere, Sci. Adv., 6, eaaz9507,
https://doi.org/10.1126/sciadv.aaz9507, 2020.
Adebiyi, A. A., Kok, J. F., Wang, Y., Ito, A., Ridley, D. A., Nabat, P., and Zhao, C.: Dust Constraints from joint Observational-Modelling-experiMental analysis (DustCOMM): comparison with measurements and model simulations, Atmos. Chem. Phys., 20, 829–863, https://doi.org/10.5194/acp-20-829-2020, 2020.
Adebiyi, A. A., Kok, J. F., Murray, B. J., Ryder, C. L., Stuut, J.-B. W.,
Kahn, R. A., Knippertz, P., Formenti, P., Mahowald, N. M., Pérez
García-Pando, C., Klose, M., Ansmann, A., Samset, B. H., Ito, A.,
Balkanski, Y., Di Biagio, C., Romanias, M. N., Huang, Y., and Meng, J.: A
review of coarse mineral dust in the Earth system, Aeolian Res., 60, 100849,
https://doi.org/10.31223/X5QD36, 2023.
Ansmann, A., Seifert, P., Tesche, M., and Wandinger, U.: Profiling of fine and coarse particle mass: case studies of Saharan dust and Eyjafjallajökull/Grimsvötn volcanic plumes, Atmos. Chem. Phys., 12, 9399–9415, https://doi.org/10.5194/acp-12-9399-2012, 2012.
Bi, L., Yang, P., Kattawar, G. W., and Kahn, R.: Single-scattering
properties of triaxial ellipsoidal particles for a size parameter range from
the Rayleigh to geometric-optics regimes, Appl. Optics, 48, 114–126,
https://doi.org/10.1364/AO.48.000114, 2009.
Bi, L., Yang, P., Kattawar, G. W., and Kahn, R.: Modeling optical properties
of mineral aerosol particles by using nonsymmetric hexahedra, Appl. Optics,
49, 334–342, https://doi.org/10.1364/AO.49.000334, 2010.
Burton, S. P., Hair, J. W., Kahnert, M., Ferrare, R. A., Hostetler, C. A., Cook, A. L., Harper, D. B., Berkoff, T. A., Seaman, S. T., Collins, J. E., Fenn, M. A., and Rogers, R. R.: Observations of the spectral dependence of linear particle depolarization ratio of aerosols using NASA Langley airborne High Spectral Resolution Lidar, Atmos. Chem. Phys., 15, 13453–13473, https://doi.org/10.5194/acp-15-13453-2015, 2015.
Colarco, P. R., Nowottnick, E. P., Randles, C. A., Yi, B., Yang, P., Kim,
K.-M., Smith, J. A., and Bardeen, C. G.: Impact of radiatively interactive
dust aerosols in the NASA GEOS-5 climate model: Sensitivity to dust particle
shape and refractive index, J. Geophys. Res.-Atmos., 119, 753–786,
https://doi.org/10.1002/2013JD020046, 2014.
Di Biagio, C., Formenti, P., Balkanski, Y., Caponi, L., Cazaunau, M., Pangui, E., Journet, E., Nowak, S., Caquineau, S., Andreae, M. O., Kandler, K., Saeed, T., Piketh, S., Seibert, D., Williams, E., and Doussin, J.-F.: Global scale variability of the mineral dust long-wave refractive index: a new dataset of in situ measurements for climate modeling and remote sensing, Atmos. Chem. Phys., 17, 1901–1929, https://doi.org/10.5194/acp-17-1901-2017, 2017.
Di Biagio, C., Formenti, P., Balkanski, Y., Caponi, L., Cazaunau, M., Pangui, E., Journet, E., Nowak, S., Andreae, M. O., Kandler, K., Saeed, T., Piketh, S., Seibert, D., Williams, E., and Doussin, J.-F.: Complex refractive indices and single-scattering albedo of global dust aerosols in the shortwave spectrum and relationship to size and iron content, Atmos. Chem. Phys., 19, 15503–15531, https://doi.org/10.5194/acp-19-15503-2019, 2019.
Di Biagio, C., Balkanski, Y., Albani, S., Boucher, O., and Formenti, P.:
Direct Radiative Effect by Mineral Dust Aerosols Constrained by New
Microphysical and Spectral Optical Data, Geophys. Res. Lett., 47, 1–12,
https://doi.org/10.1029/2019GL086186, 2020.
Dubovik, O., Sinyuk, A., Lapyonok, T., Holben, B. N., Mishchenko, M., Yang,
P., Eck, T. F., Volten, H., Muñoz, O., Veihelmann, B., van der Zande, W.
J., Leon, J. F., Sorokin, M., and Slutsker, I.: Application of spheroid
models to account for aerosol particle nonsphericity in remote sensing of
desert dust, J. Geophys. Res.-Atmos., 111, D11208,
https://doi.org/10.1029/2005JD006619, 2006.
Formenti, P., Schütz, L., Balkanski, Y., Desboeufs, K., Ebert, M., Kandler, K., Petzold, A., Scheuvens, D., Weinbruch, S., and Zhang, D.: Recent progress in understanding physical and chemical properties of African and Asian mineral dust, Atmos. Chem. Phys., 11, 8231–8256, https://doi.org/10.5194/acp-11-8231-2011, 2011.
Formenti, P., Di Biagio, C., Huang, Y., Kok, J., Mallet, M. D., Boulanger, D., and Cazaunau, M.: Look−up tables resolved by complex refractive index to correct particle sizes measured by common research−grade optical particle counters, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2021-403, in review, 2021.
Freudenthaler, V., Esselborn, M., Wiegner, M., Heese, B., Tesche, M.,
Ansmann, A., Müller, D., Althausen, D., Wirth, M., Fix, A., Ehret, G.,
Knippertz, P., Toledano, C., Gasteiger, J., Garhammer, M., and Seefeldner,
M.: Depolarization ratio profiling at several wavelengths in pure Saharan
dust during SAMUM 2006, Tellus B, 61, 165–179,
https://doi.org/10.1111/j.1600-0889.2008.00396.x, 2009.
Gasteiger, J., Wiegner, M., Groß, S., Freudenthaler, V., Toledano, C.,
Tesche, M., and Kandler, K.: Modelling lidar-relevant optical properties of
complex mineral dust aerosols, Tellus B, 63,
725–741, https://doi.org/10.1111/j.1600-0889.2011.00559.x, 2011.
Giannadaki, D., Pozzer, A., and Lelieveld, J.: Modeled global effects of airborne desert dust on air quality and premature mortality, Atmos. Chem. Phys., 14, 957–968, https://doi.org/10.5194/acp-14-957-2014, 2014.
Giles, D. M., Sinyuk, A., Sorokin, M. G., Schafer, J. S., Smirnov, A., Slutsker, I., Eck, T. F., Holben, B. N., Lewis, J. R., Campbell, J. R., Welton, E. J., Korkin, S. V., and Lyapustin, A. I.: Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements, Atmos. Meas. Tech., 12, 169–209, https://doi.org/10.5194/amt-12-169-2019, 2019.
Gliß, J., Mortier, A., Schulz, M., Andrews, E., Balkanski, Y., Bauer, S. E., Benedictow, A. M. K., Bian, H., Checa-Garcia, R., Chin, M., Ginoux, P., Griesfeller, J. J., Heckel, A., Kipling, Z., Kirkevåg, A., Kokkola, H., Laj, P., Le Sager, P., Lund, M. T., Lund Myhre, C., Matsui, H., Myhre, G., Neubauer, D., van Noije, T., North, P., Olivié, D. J. L., Rémy, S., Sogacheva, L., Takemura, T., Tsigaridis, K., and Tsyro, S. G.: AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations, Atmos. Chem. Phys., 21, 87–128, https://doi.org/10.5194/acp-21-87-2021, 2021.
Gómez Martín, J. C., Guirado, D., Frattin, E., Bermudez-Edo, M.,
Cariñanos Gonzalez, P., Olmo Reyes, F. J., Nousiainen, T.,
Gutiérrez, P. J., Moreno, F., and Muñoz, O.: On the application of
scattering matrix measurements to detection and identification of major
types of airborne aerosol particles: Volcanic ash, desert dust and pollen,
J. Quant. Spectrosc. Radiat. T., 271, 107761,
https://doi.org/10.1016/j.jqsrt.2021.107761, 2021.
González-Flórez, C., Klose, M., Alastuey, A., Dupont, S., Escribano, J., Etyemezian, V., Gonzalez-Romero, A., Huang, Y., Kandler, K., Nikolich, G., Panta, A., Querol, X., Reche, C., Yus-Díez, J., and Pérez García-Pando, C.: Insights into the size-resolved dust emission from field measurements in the Moroccan Sahara, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-758, in review, 2022.
Grainger, R. G.: Some Useful Formulae for Aerosol Size Distributions and
Optical Properties, https://eodg.atm.ox.ac.uk/user/grainger/research/aerosols.pdf (last access: 20 February 2023), 1–26 pp., 2022.
GRASP OPEN: Products, GRASP OPEN [data set], https://www.grasp-open.com/products/, last access: 6 February 2023.
Groß, S., Tesche, M., Freudenthaler, V., Toledano, C., Wiegner, M.,
Ansmann, A., Althausen, D., and Seefeldner, M.: Characterization of Saharan
dust, marine aerosols and mixtures of biomass-burning aerosols and dust by
means of multi-wavelength depolarization and Raman lidar measurements during
SAMUM 2, Tellus B, 63, 706–724,
https://doi.org/10.1111/j.1600-0889.2011.00556.x, 2011.
Groß, S., Freudenthaler, V., Schepanski, K., Toledano, C., Schäfler, A., Ansmann, A., and Weinzierl, B.: Optical properties of long-range transported Saharan dust over Barbados as measured by dual-wavelength depolarization Raman lidar measurements, Atmos. Chem. Phys., 15, 11067–11080, https://doi.org/10.5194/acp-15-11067-2015, 2015.
Haarig, M., Ansmann, A., Althausen, D., Klepel, A., Groß, S., Freudenthaler, V., Toledano, C., Mamouri, R.-E., Farrell, D. A., Prescod, D. A., Marinou, E., Burton, S. P., Gasteiger, J., Engelmann, R., and Baars, H.: Triple-wavelength depolarization-ratio profiling of Saharan dust over Barbados during SALTRACE in 2013 and 2014, Atmos. Chem. Phys., 17, 10767–10794, https://doi.org/10.5194/acp-17-10767-2017, 2017.
Haarig, M., Ansmann, A., Engelmann, R., Baars, H., Toledano, C., Torres, B., Althausen, D., Radenz, M., and Wandinger, U.: First triple-wavelength lidar observations of depolarization and extinction-to-backscatter ratios of Saharan dust, Atmos. Chem. Phys., 22, 355–369, https://doi.org/10.5194/acp-22-355-2022, 2022.
Hofer, J., Ansmann, A., Althausen, D., Engelmann, R., Baars, H., Fomba, K. W., Wandinger, U., Abdullaev, S. F., and Makhmudov, A. N.: Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm, Atmos. Chem. Phys., 20, 9265–9280, https://doi.org/10.5194/acp-20-9265-2020, 2020.
Hovenier, J. W., van der Mee, C., and Domke, H.: Transfer of Polarized Light
in Planetary Atmospheres: Basic Concepts and Practical Methods, 1st edn.,
Springer Dordrecht, 1–272, https://doi.org/10.1007/978-1-4020-2856-4,
2004.
Hsu, N. C., Lee, J., Sayer, A. M., Kim, W., Bettenhausen, C., and Tsay,
S.-C.: VIIRS Deep Blue Aerosol Products over Land: Extending the EOS
Long-Term Aerosol Data Records, J. Geophys. Res.-Atmos., 124, 4026–4053,
https://doi.org/10.1029/2018jd029688, 2019.
Hu, Q., Wang, H., Goloub, P., Li, Z., Veselovskii, I., Podvin, T., Li, K., and Korenskiy, M.: The characterization of Taklamakan dust properties using a multiwavelength Raman polarization lidar in Kashi, China, Atmos. Chem. Phys., 20, 13817–13834, https://doi.org/10.5194/acp-20-13817-2020, 2020.
Huang, Y., Kok, J. F., Martin, R. L., Swet, N., Katra, I., Gill, T. E., Reynolds, R. L., and Freire, L. S.: Fine dust emissions from active sands at coastal Oceano Dunes, California, Atmos. Chem. Phys., 19, 2947–2964, https://doi.org/10.5194/acp-19-2947-2019, 2019.
Huang, Y., Kok, J. F., Kandler, K., Lindqvist, H., Nousiainen, T., Sakai,
T., Adebiyi, A., and Jokinen, O.: Climate models and remote sensing
retrievals neglect substantial desert dust asphericity, Geophys. Res. Lett.,
47, 1–11, https://doi.org/10.1029/2019GL086592, 2020.
Huang, Y., Adebiyi, A. A., Formenti, P., and Kok, J. F.: Linking the
different diameter types of aspherical desert dust indicates that models
underestimate coarse dust emission, Geophys. Res. Lett., 48, 1–12,
https://doi.org/10.1029/2020GL092054, 2021.
Huang, Y., Kok, J., Saito, M., and Muñoz, O.: Single-scattering properties of ellipsoidal dust aerosols constrained by measured dust shape distributions, Zenodo [data set], https://doi.org/10.5281/zenodo.7055766, 2022.
Ito, A., Myriokefalitakis, S., Kanakidou, M., Mahowald, N. M., Scanza, R.
A., Hamilton, D. S., Baker, A. R., Jickells, T., Sarin, M., Bikkina, S.,
Gao, Y., Shelley, R. U., Buck, C. S., Landing, W. M., Bowie, A. R., Perron,
M. M. G., Guieu, C., Meskhidze, N., Johnson, M. S., Feng, Y., Kok, J. F.,
Nenes, A., and Duce, R. A.: Pyrogenic iron: The missing link to high iron
solubility in aerosols, Sci. Adv., 5, eaau7671,
https://doi.org/10.1126/sciadv.aau7671, 2019.
Ito, A., Perron, M. M. G., Proemse, B. C., Strzelec, M., Gault-Ringold, M.,
Boyd, P. W., and Bowie, A. R.: Evaluation of aerosol iron solubility over
Australian coastal regions based on inverse modeling: implications of
bushfires on bioaccessible iron concentrations in the Southern Hemisphere,
Prog. Earth Planet. Sci., 7, 1–17,
https://doi.org/10.1186/s40645-020-00357-9, 2020.
Ito, A., Adebiyi, A. A., Huang, Y., and Kok, J. F.: Less atmospheric radiative heating by dust due to the synergy of coarser size and aspherical shape, Atmos. Chem. Phys., 21, 16869–16891, https://doi.org/10.5194/acp-21-16869-2021, 2021.
Kahnert, M., Kanngießer, F., Järvinen, E., and Schnaiter, M.:
Aerosol-optics model for the backscatter depolarisation ratio of mineral
dust particles, J. Quant. Spectrosc. Radiat. T., 254, 107177,
https://doi.org/10.1016/j.jqsrt.2020.107177, 2020.
Kalashnikova, O. V. and Sokolik, I. N.: Modeling the radiative properties of
nonspherical soil-derived mineral aerosols, J. Quant. Spectrosc. Radiat.
T., 87, 137–166, https://doi.org/10.1016/j.jqsrt.2003.12.026, 2004.
Kandler, K., Benker, N., Bundke, U., Cuevas, E., Ebert, M., Knippertz, P.,
Rodríguez, S., Schütz, L., and Weinbruch, S.: Chemical composition
and complex refractive index of Saharan Mineral Dust at Izaña, Tenerife
(Spain) derived by electron microscopy, Atmos. Environ., 41, 8058–8074,
https://doi.org/10.1016/j.atmosenv.2007.06.047, 2007.
Kandler, K., Schütz, L., Deutscher, C., Ebert, M., Hofmann, H.,
Jäckel, S., Jaenicke, R., Knippertz, P., Lieke, K., Massling, A.,
Petzold, A., Schladitz, A., Weinzierl, B., Wiedensohler, A., Zorn, S., and
Weinbruch, S.: Size distribution, mass concentration, chemical and
mineralogical composition and derived optical parameters of the boundary
layer aerosol at Tinfou, Morocco, during SAMUM 2006, Tellus B, 61, 32–50,
https://doi.org/10.1111/j.1600-0889.2008.00385.x, 2009.
Kandler, K., Lieke, K., Benker, N., Emmel, C., Küpper, M.,
Müller-Ebert, D., Ebert, M., Scheuvens, D., Schladitz, A., Schütz,
L., and Weinbruch, S.: Electron microscopy of particles collected at Praia,
Cape Verde, during the Saharan Mineral Dust Experiment: Particle chemistry,
shape, mixing state and complex refractive index, Tellus B, 63, 475–496, https://doi.org/10.1111/j.1600-0889.2011.00550.x,
2011.
Kemppinen, O., Nousiainen, T., and Lindqvist, H.: The impact of surface
roughness on scattering by realistically shaped wavelength-scale dust
particles, J. Quant. Spectrosc. Radiat. T., 150, 55–67,
https://doi.org/10.1016/j.jqsrt.2014.05.024, 2015.
Kim, M.-H., Omar, A. H., Tackett, J. L., Vaughan, M. A., Winker, D. M., Trepte, C. R., Hu, Y., Liu, Z., Poole, L. R., Pitts, M. C., Kar, J., and Magill, B. E.: The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm, Atmos. Meas. Tech., 11, 6107–6135, https://doi.org/10.5194/amt-11-6107-2018, 2018.
Kiselev, A., Bachmann, F., Pedevilla, P., Cox, S. J., Michaelides, A.,
Gerthsen, D., and Leisner, T.: Active sites in heterogeneous ice
nucleation-the example of K-rich feldspars, Science, 355, 367–371,
https://doi.org/10.1126/science.aai8034, 2017.
Klose, M., Jorba, O., Gonçalves Ageitos, M., Escribano, J., Dawson, M. L., Obiso, V., Di Tomaso, E., Basart, S., Montané Pinto, G., Macchia, F., Ginoux, P., Guerschman, J., Prigent, C., Huang, Y., Kok, J. F., Miller, R. L., and Pérez García-Pando, C.: Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0, Geosci. Model Dev., 14, 6403–6444, https://doi.org/10.5194/gmd-14-6403-2021, 2021.
Kok, J. F.: The DustCOMM data set:
Dust Constraints from joint Observational-Modelling-Experimental analysis, https://dustcomm.atmos.ucla.edu/, last access: 20 February 2023.
Kok, J. F., Ridley, D. A., Zhou, Q., Miller, R. L., Zhao, C., Heald, C. L.,
Ward, D. S., Albani, S., and Haustein, K.: Smaller desert dust cooling
effect estimated from analysis of dust size and abundance, Nat. Geosci., 10,
274–278, https://doi.org/10.1038/ngeo2912, 2017.
Kok, J. F., Adebiyi, A. A., Albani, S., Balkanski, Y., Checa-Garcia, R., Chin, M., Colarco, P. R., Hamilton, D. S., Huang, Y., Ito, A., Klose, M., Leung, D. M., Li, L., Mahowald, N. M., Miller, R. L., Obiso, V., Pérez García-Pando, C., Rocha-Lima, A., Wan, J. S., and Whicker, C. A.: Improved representation of the global dust cycle using observational constraints on dust properties and abundance, Atmos. Chem. Phys., 21, 8127–8167, https://doi.org/10.5194/acp-21-8127-2021, 2021a.
Kok, J. F., Adebiyi, A. A., Albani, S., Balkanski, Y., Checa-Garcia, R., Chin, M., Colarco, P. R., Hamilton, D. S., Huang, Y., Ito, A., Klose, M., Li, L., Mahowald, N. M., Miller, R. L., Obiso, V., Pérez García-Pando, C., Rocha-Lima, A., and Wan, J. S.: Contribution of the world's main dust source regions to the global cycle of desert dust, Atmos. Chem. Phys., 21, 8169–8193, https://doi.org/10.5194/acp-21-8169-2021, 2021b.
Kok, J. F., Storelvmo, T., Karydis, V. A., Adebiyi, A. A., Mahowald, N. M.,
Evan, A. T., He, C., and Leung, D. M.: Mineral dust aerosol impacts on
global climate and climate change, Nat. Rev. Earth Environ., 4, 71–86,
https://doi.org/10.1038/s43017-022-00379-5, 2023.
Kong, S., Sato, K., and Bi, L.: Lidar Ratio–Depolarization Ratio Relations
of Atmospheric Dust Aerosols: The Super-Spheroid Model and High Spectral
Resolution Lidar Observations, J. Geophys. Res.-Atmos., 127, e2021JD035629,
https://doi.org/10.1029/2021JD035629, 2022.
Li, L., Mahowald, N. M., Miller, R. L., Pérez García-Pando, C., Klose, M., Hamilton, D. S., Gonçalves Ageitos, M., Ginoux, P., Balkanski, Y., Green, R. O., Kalashnikova, O., Kok, J. F., Obiso, V., Paynter, D., and Thompson, D. R.: Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty, Atmos. Chem. Phys., 21, 3973–4005, https://doi.org/10.5194/acp-21-3973-2021, 2021.
Li, L., Mahowald, N. M., Kok, J. F., Liu, X., Wu, M., Leung, D. M., Hamilton, D. S., Emmons, L. K., Huang, Y., Sexton, N., Meng, J., and Wan, J.: Importance of different parameterization changes for the updated dust cycle modeling in the Community Atmosphere Model (version 6.1), Geosci. Model Dev., 15, 8181–8219, https://doi.org/10.5194/gmd-15-8181-2022, 2022.
Lindqvist, H., Jokinen, O., Kandler, K., Scheuvens, D., and Nousiainen, T.: Single scattering by realistic, inhomogeneous mineral dust particles with stereogrammetric shapes, Atmos. Chem. Phys., 14, 143–157, https://doi.org/10.5194/acp-14-143-2014, 2014.
Liou, K.-N.: An introduction to atmospheric radiation, 2nd edn., Academic
Press, Inc., 1–583, 2002.
Liu, J., Zhang, Y., and Zhang, Q.: Laboratory measurements of light
scattering matrices for resuspended small loess dust particles at 532 nm
wavelength, J. Quant. Spectrosc. Radiat. T., 229, 71–79,
https://doi.org/10.1016/j.jqsrt.2019.03.010, 2019.
Liu, J., Zhang, Q., Huo, Y., Wang, J., and Zhang, Y.: An experimental study on light scattering matrices for Chinese loess dust with different particle size distributions, Atmos. Meas. Tech., 13, 4097–4109, https://doi.org/10.5194/amt-13-4097-2020, 2020.
Magee, N. B., Miller, A., Amaral, M., and Cumiskey, A.: Mesoscopic surface roughness of ice crystals pervasive across a wide range of ice crystal conditions, Atmos. Chem. Phys., 14, 12357–12371, https://doi.org/10.5194/acp-14-12357-2014, 2014.
Mahowald, N., Albani, S., Kok, J. F., Engelstaeder, S., Scanza, R., Ward, D.
S., and Flanner, M. G.: The size distribution of desert dust aerosols and
its impact on the Earth system, Aeolian Res., 15, 53–71,
https://doi.org/10.1016/j.aeolia.2013.09.002, 2014.
Mahowald, N. M., Ballantine, J. A., Feddema, J., and Ramankutty, N.: Global trends in visibility: implications for dust sources, Atmos. Chem. Phys., 7, 3309–3339, https://doi.org/10.5194/acp-7-3309-2007, 2007.
Meng, J., Huang, Y., Leung, D. M., Li, L., Adebiyi, A. A., Ryder, C. L.,
Mahowald, N. M., and Kok, J. F.: Improved parameterization for the size
distribution of emitted dust aerosols reduces model underestimation of super
coarse dust, Geophys. Res. Lett., 49, 1–12, https://doi.org/10.1029/2021gl097287, 2022.
Meng, Z., Yang, P., Kattawar, G. W., Bi, L., Liou, K. N., and Laszlo, I.:
Single-scattering properties of tri-axial ellipsoidal mineral dust aerosols:
A database for application to radiative transfer calculations, J. Aerosol
Sci., 41, 501–512, https://doi.org/10.1016/j.jaerosci.2010.02.008, 2010.
Merikallio, S., Lindqvist, H., Nousiainen, T., and Kahnert, M.: Modelling light scattering by mineral dust using spheroids: assessment of applicability, Atmos. Chem. Phys., 11, 5347–5363, https://doi.org/10.5194/acp-11-5347-2011, 2011.
Miffre, A., Mehri, T., Francis, M., and Rairoux, P.: UV-VIS depolarization
from Arizona Test Dust particles at exact backscattering angle, J. Quant.
Spectrosc. Radiat. T., 169, 79–90,
https://doi.org/10.1016/j.jqsrt.2015.09.016, 2016.
Miller, R. L., Tegen, I., and Perlwitz, J.: Surface radiative forcing by
soil dust aerosols and the hydrologic cycle, J. Geophys. Res.-Atmos., 109,
D04203, https://doi.org/10.1029/2003JD004085, 2004.
Miller, R. L., Cakmur, R. V., Perlwitz, J., Geogdzhayev, I. V., Ginoux, P.,
Koch, D., Kohfeld, K. E., Prigent, C., Ruedy, R., Schmidt, G. A., and Tegen,
I.: Mineral dust aerosols in the NASA Goddard Institute for Space Sciences
ModelE atmospheric general circulation model, J. Geophys. Res.-Atmos., 111,
D06208, https://doi.org/10.1029/2005JD005796, 2006.
Mishchenko, M. I. and Hovenier, J. W.: Depolarization of light backscattered
by randomly oriented nonspherical particles, Opt. Lett., 20, 1356–1358,
https://doi.org/10.1364/OL.20.001356, 1995.
Mishchenko, M. I. and Yurkin, M. A.: On the concept of random orientation in
far-field electromagnetic scattering by nonspherical particles, Opt. Lett.,
42, 494–497, https://doi.org/10.1364/ol.42.000494, 2017.
Mishchenko, M. I., Travis, L. D., and Lacis, A. A.: Scattering, Absorption,
and Emission of Light by Small Particles, Cambridge University Press, 1–462, 2002.
Müller, D., Lee, K.-H., Gasteiger, J., Tesche, M., Weinzierl, B.,
Kandler, K., Müller, T., Toledano, C., Otto, S., Althausen, D., and
Ansmann, A.: Comparison of optical and microphysical properties of pure
Saharan mineral dust observed with AERONET Sun photometer, Raman lidar, and
in situ instruments during SAMUM 2006, J. Geophys. Res.-Atmos., 117, D07211,
https://doi.org/10.1029/2011JD016825, 2012.
Müller, D., Veselovskii, I., Kolgotin, A., Tesche, M., Ansmann, A., and
Dubovik, O.: Vertical profiles of pure dust and mixed smoke-dust plumes
inferred from inversion of multiwavelength Raman/polarization lidar data and
comparison to AERONET retrievals and in situ observations, Appl. Optics, 52,
3178–3202, https://doi.org/10.1364/AO.52.003178, 2013.
Muñoz, O., Moreno, F., Guirado, D., Dabrowska, D. D., Volten, H., and
Hovenier, J. W.: The Amsterdam-Granada Light Scattering Database, J. Quant.
Spectrosc. Radiat. T., 113, 565–574,
https://doi.org/10.1016/j.jqsrt.2012.01.014, 2012 (data available at: https://www.iaa.csic.es/scattering/, last access: 6 February 2023).
Nousiainen, T. and Kandler, K.: Light scattering by atmospheric mineral dust
particles, Light Scatt. Rev. 9, 3–52, 2015.
Nousiainen, T. and Vermeulen, K.: Comparison of measured single-scattering
matrix of feldspar particles with T-matrix simulations using spheroids, J.
Quant. Spectrosc. Radiat. T., 79–80, 1031–1042,
https://doi.org/10.1016/S0022-4073(02)00337-0, 2003.
Okada, K., Heintzenberg, J., Kai, K., and Qin, Y.: Shape of atmospheric
mineral particles collected in three Chinese arid-regions, Geophys. Res.
Lett., 28, 3123–3126, https://doi.org/10.1029/2000GL012798, 2001.
Omar, A. H., Winker, D. M., Kittaka, C., Vaughan, M. A., Liu, Z., Hu, Y.,
Trepte, C. R., Rogers, R. R., Ferrare, R. A., Lee, K. P., Kuehn, R. E., and
Hostetler, C. A.: The CALIPSO automated aerosol classification and lidar
ratio selection algorithm, J. Atmos. Ocean. Technol., 26, 1994–2014,
https://doi.org/10.1175/2009JTECHA1231.1, 2009.
Omar, A. H., Winker, D. M., Tackett, J. L., Giles, D. M., Kar, J., Liu, Z.,
Vaughan, M. A., Powell, K. A., and Trepte, C. R.: CALIOP and AERONET aerosol
optical depth comparisons: One size fits none, J. Geophys. Res.-Atmos., 118,
4748–4766, https://doi.org/10.1002/jgrd.50330, 2013.
Reid, E. A., Reid, J. S., Meier, M. M., Dunlap, M. R., Cliff, S. S.,
Broumas, A., Perry, K., and Maring, H.: Characterization of African dust
transported to Puerto Rico by individual particle and size segregated bulk
analysis, J. Geophys. Res., 108, 8591, https://doi.org/10.1029/2002JD002935,
2003.
Ridley, D. A., Heald, C. L., Kok, J. F., and Zhao, C.: An observationally constrained estimate of global dust aerosol optical depth, Atmos. Chem. Phys., 16, 15097–15117, https://doi.org/10.5194/acp-16-15097-2016, 2016.
Ryder, C. L., Highwood, E. J., Walser, A., Seibert, P., Philipp, A., and Weinzierl, B.: Coarse and giant particles are ubiquitous in Saharan dust export regions and are radiatively significant over the Sahara, Atmos. Chem. Phys., 19, 15353–15376, https://doi.org/10.5194/acp-19-15353-2019, 2019.
Saito, M. and Yang, P.: Advanced Bulk Optical Models Linking the
Backscattering and Microphysical Properties of Mineral Dust Aerosol,
Geophys. Res. Lett., 48, 1–12, https://doi.org/10.1029/2021GL095121, 2021.
Saito, M. and Yang, P.: Critical Impacts of the Small-Scale Surface
Roughness of Ice Crystals on Lidar Backscattering Signals, 16th Conf. on
Atmos. Rad., 9 August 2022, Madison, WI, Amer. Meteorol. Soc., Session 8.2,
https://ams.confex.com/ams/CMM2022/meetingapp.cgi/Paper/404577 (last access: 20 February 2023), 2022.
Saito, M., Yang, P., Ding, J., and Liu, X.: A comprehensive database of the
optical properties of irregular aerosol particles for radiative transfer
simulations, J. Atmos. Sci., 78, 2089–2111,
https://doi.org/10.1175/jas-d-20-0338.1, 2021.
Sakai, T., Nagai, T., Zaizen, Y., and Mano, Y.: Backscattering linear
depolarization ratio measurements of mineral, sea-salt, and ammonium sulfate
particles simulated in a laboratory chamber, Appl. Optics, 49, 4441,
https://doi.org/10.1364/AO.49.004441, 2010.
Schuster, G. L., Vaughan, M., MacDonnell, D., Su, W., Winker, D., Dubovik, O., Lapyonok, T., and Trepte, C.: Comparison of CALIPSO aerosol optical depth retrievals to AERONET measurements, and a climatology for the lidar ratio of dust, Atmos. Chem. Phys., 12, 7431–7452, https://doi.org/10.5194/acp-12-7431-2012, 2012.
Shin, S.-K., Tesche, M., Kim, K., Kezoudi, M., Tatarov, B., Müller, D., and Noh, Y.: On the spectral depolarisation and lidar ratio of mineral dust provided in the AERONET version 3 inversion product, Atmos. Chem. Phys., 18, 12735–12746, https://doi.org/10.5194/acp-18-12735-2018, 2018.
Swet, N., Kok, J. F., Huang, Y., Yizhaq, H., and Katra, I.: Low dust
generation potential from active sand grains by wind abrasion, J. Geophys.
Res.-Earth Surf., 125, 1–25, https://doi.org/10.1029/2020JF005545, 2020.
Tesche, M., Ansmann, A., Müller, D., Althausen, D., Engelmann, R.,
Freudenthaler, V., and Groß, S.: Vertically resolved separation of dust
and smoke over Cape Verde using multiwavelength Raman and polarization
lidars during Saharan Mineral Dust Experiment 2008, J. Geophys. Res.-Atmos.,
114, D13202, https://doi.org/10.1029/2009JD011862, 2009.
Tesche, M., Gross, S., Ansmann, A., Müller, D., Althausen, D.,
Freudenthaler, V., and Esselborn, M.: Profiling of Saharan dust and
biomass-burning smoke with multiwavelength polarization Raman lidar at Cape
Verde, Tellus B, 63, 649–676,
https://doi.org/10.1111/j.1600-0889.2011.00548.x, 2011.
Tesche, M., Kolgotin, A., Haarig, M., Burton, S. P., Ferrare, R. A., Hostetler, C. A., and Müller, D.: 3+2 + X: what is the most useful depolarization input for retrieving microphysical properties of non-spherical particles from lidar measurements using the spheroid model of Dubovik et al. (2006)?, Atmos. Meas. Tech., 12, 4421–4437, https://doi.org/10.5194/amt-12-4421-2019, 2019.
Veihelmann, B., Nousiainen, T., Kahnert, M., and van der Zande, W. J.: Light
scattering by small feldspar particles simulated using the Gaussian random
sphere geometry, J. Quant. Spectrosc. Radiat. T., 100, 393–405,
https://doi.org/10.1016/j.jqsrt.2005.11.053, 2006.
Volten, H., Muñoz, O., Rol, E., de Haan, J. F., Vassen, W., Hovenier, J.
W., Muinonen, K., and Nousiainen, T.: Scattering matrices of mineral aerosol
particles at 441.6 nm and 632.8 nm, J. Geophys. Res., 106, 17375–17401,
https://doi.org/10.1029/2001JD900068, 2001.
Winker, D. M., Hunt, W. H., and McGill, M. J.: Initial performance
assessment of CALIOP, Geophys. Res. Lett., 34, 1–5,
https://doi.org/10.1029/2007GL030135, 2007.
Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z.,
Hunt, W. H., and Young, S. A.: Overview of the CALIPSO mission and CALIOP
data processing algorithms, J. Atmos. Ocean. Tech., 26, 2310–2323,
https://doi.org/10.1175/2009JTECHA1281.1, 2009.
Woodward, X., Kostinski, A., China, S., Mazzoleni, C., and Cantrell, W.:
Characterization of dust particles' 3D shape and roughness with nanometer
resolution, Aerosol Sci. Technol., 49, 229–238,
https://doi.org/10.1080/02786826.2015.1017550, 2015.
Yang, P. and Liou, K. N.: Geometric-optics–integral-equation method for
light scattering by nonspherical ice crystals, Appl. Optics, 35, 6568–6584,
https://doi.org/10.1364/ao.35.006568, 1996.
Yang, P. and Liou, K. N.: Light scattering by hexagonal ice crystals:
solutions by a ray-by-ray integration algorithm, J. Opt. Soc. Am. A, 14,
2278–2289, https://doi.org/10.1364/josaa.14.002278, 1997.
Yu, H., Chin, M., Yuan, T., Bian, H., Remer, L. a., Prospero, J. M., Omar,
A., Winker, D., Yang, Y., Zhang, Y., Zhang, Z., and Zhao, C.: The
Fertilizing Role of African Dust in the Amazon Rainforest: A First Multiyear
Assessment Based on CALIPSO Lidar Observations, Geophys. Res. Lett., 42,
1984–1991, https://doi.org/10.1002/2015GL063040, 2015.
Zhou, C.: Coherent backscatter enhancement in single scattering, Opt.
Express, 26, A508, https://doi.org/10.1364/oe.26.00a508, 2018.
Zhou, C. and Yang, P.: Backscattering peak of ice cloud particles, Opt.
Express, 23, 11995–12003, https://doi.org/10.1364/oe.23.011995, 2015.
Short summary
Global aerosol models and remote sensing retrievals use dust optical models with inconsistent and inaccurate dust shape approximations. Here, we present a new dust optical model constrained by measured dust shape distributions. This new dust optical model is an improvement on the current dust optical models used in models and retrieval algorithms, as quantified by comparisons against laboratory and field observations of dust optics.
Global aerosol models and remote sensing retrievals use dust optical models with inconsistent...
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