Articles | Volume 21, issue 17
https://doi.org/10.5194/acp-21-13369-2021
© Author(s) 2021. 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-21-13369-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Sep 2021
Research article |
| 09 Sep 2021
| 09 Sep 2021
Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability
Qianqian Song
Physics Department, UMBC, Baltimore, MD, USA
Joint Center of Earth Systems Technology, UMBC, Baltimore, MD, USA
Physics Department, UMBC, Baltimore, MD, USA
Joint Center of Earth Systems Technology, UMBC, Baltimore, MD, USA
Hongbin Yu
Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt,
MD, USA
Paul Ginoux
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Jerry Shen
Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt,
MD, USA
College of Computer, Mathematical, and Natural Sciences, University of Maryland, College Park, MD, USA
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Po-Lun Ma, Bryce E. Harrop, Vincent E. Larson, Richard B. Neale, Andrew Gettelman, Hugh Morrison, Hailong Wang, Kai Zhang, Stephen A. Klein, Mark D. Zelinka, Yuying Zhang, Yun Qian, Jin-Ho Yoon, Christopher R. Jones, Meng Huang, Sheng-Lun Tai, Balwinder Singh, Peter A. Bogenschutz, Xue Zheng, Wuyin Lin, Johannes Quaas, Hélène Chepfer, Michael A. Brunke, Xubin Zeng, Johannes Mülmenstädt, Samson Hagos, Zhibo Zhang, Hua Song, Xiaohong Liu, Michael S. Pritchard, Hui Wan, Jingyu Wang, Qi Tang, Peter M. Caldwell, Jiwen Fan, Larry K. Berg, Jerome D. Fast, Mark A. Taylor, Jean-Christophe Golaz, Shaocheng Xie, Philip J. Rasch, and L. Ruby Leung
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An alternative set of parameters for E3SM Atmospheric Model version 1 has been developed based on a tuning strategy that focuses on clouds. When clouds in every regime are improved, other aspects of the model are also improved, even though they are not the direct targets for calibration. The recalibrated model shows a lower sensitivity to anthropogenic aerosols and surface warming, suggesting potential improvements to the simulated climate in the past and future.
Sujung Go, Alexei Lyapustin, Gregory L. Schuster, Myungje Choi, Paul Ginoux, Mian Chin, Olga Kalashnikova, Oleg Dubovik, Jhoon Kim, Arlindo da Silva, Brent Holben, and Jeffrey S. Reid
Atmos. Chem. Phys., 22, 1395–1423, https://doi.org/10.5194/acp-22-1395-2022, https://doi.org/10.5194/acp-22-1395-2022, 2022
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Justin A. Covert, David B. Mechem, and Zhibo Zhang
Atmos. Chem. Phys., 22, 1159–1174, https://doi.org/10.5194/acp-22-1159-2022, https://doi.org/10.5194/acp-22-1159-2022, 2022
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Maria Sand, Bjørn H. Samset, Gunnar Myhre, Jonas Gliß, Susanne E. Bauer, Huisheng Bian, Mian Chin, Ramiro Checa-Garcia, Paul Ginoux, Zak Kipling, Alf Kirkevåg, Harri Kokkola, Philippe Le Sager, Marianne T. Lund, Hitoshi Matsui, Twan van Noije, Dirk J. L. Olivié, Samuel Remy, Michael Schulz, Philip Stier, Camilla W. Stjern, Toshihiko Takemura, Kostas Tsigaridis, Svetlana G. Tsyro, and Duncan Watson-Parris
Atmos. Chem. Phys., 21, 15929–15947, https://doi.org/10.5194/acp-21-15929-2021, https://doi.org/10.5194/acp-21-15929-2021, 2021
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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
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Hongbin Yu, Qian Tan, Lillian Zhou, Yaping Zhou, Huisheng Bian, Mian Chin, Claire L. Ryder, Robert C. Levy, Yaswant Pradhan, Yingxi Shi, Qianqian Song, Zhibo Zhang, Peter R. Colarco, Dongchul Kim, Lorraine A. Remer, Tianle Yuan, Olga Mayol-Bracero, and Brent N. Holben
Atmos. Chem. Phys., 21, 12359–12383, https://doi.org/10.5194/acp-21-12359-2021, https://doi.org/10.5194/acp-21-12359-2021, 2021
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Jun Meng, Randall V. Martin, Paul Ginoux, Melanie Hammer, Melissa P. Sulprizio, David A. Ridley, and Aaron van Donkelaar
Geosci. Model Dev., 14, 4249–4260, https://doi.org/10.5194/gmd-14-4249-2021, https://doi.org/10.5194/gmd-14-4249-2021, 2021
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Dust emissions in models, for example, GEOS-Chem, have a strong nonlinear dependence on meteorology, which means dust emission strengths calculated from different resolution meteorological fields are different. Offline high-resolution dust emissions with an optimized global dust strength, presented in this work, can be implemented into GEOS-Chem as offline emission inventory so that it could promote model development by harmonizing dust emissions across simulations of different resolutions.
Yan Yu and Paul Ginoux
Atmos. Chem. Phys., 21, 8511–8530, https://doi.org/10.5194/acp-21-8511-2021, https://doi.org/10.5194/acp-21-8511-2021, 2021
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Despite Australian dust’s critical role in the regional climate and surrounding marine ecosystems, the controlling factors of its spatiotemporal variations are not fully understood. This study establishes the connection between large-scale climate variability and regional dust emission, leading to a better understanding of the spatiotemporal variation in dust activity and improved prediction of dust's climate and ecological influences.
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.
Zhibo Zhang, Qianqian Song, David B. Mechem, Vincent E. Larson, Jian Wang, Yangang Liu, Mikael K. Witte, Xiquan Dong, and Peng Wu
Atmos. Chem. Phys., 21, 3103–3121, https://doi.org/10.5194/acp-21-3103-2021, https://doi.org/10.5194/acp-21-3103-2021, 2021
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This study investigates the small-scale variations and covariations of cloud microphysical properties, namely, cloud liquid water content and cloud droplet number concentration, in marine boundary layer clouds based on in situ observation from the Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) campaign. We discuss the dependence of cloud variations on vertical location in cloud and the implications for warm-rain simulations in the global climate models.
Jonas Gliß, Augustin Mortier, Michael Schulz, Elisabeth Andrews, Yves Balkanski, Susanne E. Bauer, Anna M. K. Benedictow, Huisheng Bian, Ramiro Checa-Garcia, Mian Chin, Paul Ginoux, Jan J. Griesfeller, Andreas Heckel, Zak Kipling, Alf Kirkevåg, Harri Kokkola, Paolo Laj, Philippe Le Sager, Marianne Tronstad Lund, Cathrine Lund Myhre, Hitoshi Matsui, Gunnar Myhre, David Neubauer, Twan van Noije, Peter North, Dirk J. L. Olivié, Samuel Rémy, Larisa Sogacheva, Toshihiko Takemura, Kostas Tsigaridis, and Svetlana G. Tsyro
Atmos. Chem. Phys., 21, 87–128, https://doi.org/10.5194/acp-21-87-2021, https://doi.org/10.5194/acp-21-87-2021, 2021
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Simulated aerosol optical properties as well as the aerosol life cycle are investigated for 14 global models participating in the AeroCom initiative. Considerable diversity is found in the simulated aerosol species emissions and lifetimes, also resulting in a large diversity in the simulated aerosol mass, composition, and optical properties. A comparison with observations suggests that, on average, current models underestimate the direct effect of aerosol on the atmosphere radiation budget.
Augustin Mortier, Jonas Gliß, Michael Schulz, Wenche Aas, Elisabeth Andrews, Huisheng Bian, Mian Chin, Paul Ginoux, Jenny Hand, Brent Holben, Hua Zhang, Zak Kipling, Alf Kirkevåg, Paolo Laj, Thibault Lurton, Gunnar Myhre, David Neubauer, Dirk Olivié, Knut von Salzen, Ragnhild Bieltvedt Skeie, Toshihiko Takemura, and Simone Tilmes
Atmos. Chem. Phys., 20, 13355–13378, https://doi.org/10.5194/acp-20-13355-2020, https://doi.org/10.5194/acp-20-13355-2020, 2020
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We present a multiparameter analysis of the aerosol trends over the last 2 decades in the different regions of the world. In most of the regions, ground-based observations show a decrease in aerosol content in both the total atmospheric column and at the surface. The use of climate models, assessed against these observations, reveals however an increase in the total aerosol load, which is not seen with the sole use of observation due to partial coverage in space and time.
Cited articles
Abish, B. and Mohanakumar, K.: Absorbing aerosol variability over the Indian
subcontinent and its increasing dependence on ENSO, Global Planet. Change,
106, 13–19, https://doi.org/10.1016/j.gloplacha.2013.02.007, 2013.
Albrecht, B. A.: Aerosols, Cloud Microphysics, and Fractional Cloudiness,
Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989.
Amiridis, V., Wandinger, U., Marinou, E., Giannakaki, E., Tsekeri, A., Basart, S., Kazadzis, S., Gkikas, A., Taylor, M., Baldasano, J., and Ansmann, A.: Optimizing CALIPSO Saharan dust retrievals, Atmos. Chem. Phys., 13, 12089–12106, https://doi.org/10.5194/acp-13-12089-2013, 2013.
An, L., Che, H., Xue, M., Zhang, T., Wang, H., Wang, Y., Zhou, C., Zhao, H.,
Gui, K., and Zheng, Y.: Temporal and spatial variations in sand and dust
storm events in East Asia from 2007 to 2016: Relationships with surface
conditions and climate change, Sci. Total Environ., 633, 452–462, 2018.
Anderson, T. L., Wu, Y., Chu, D. A., Schmid, B., Redemann, J., and Dubovik,
O.: Testing the MODIS satellite retrieval of aerosol fine-mode fraction, J.
Geophys. Res.-Atmos., 110, 1–16, https://doi.org/10.1029/2005JD005978,
2005.
Ansmann, A., Tesche, M., Seifert, P., Groß, S., Freudenthaler, V.,
Apituley, A., Wilson, K. M., Serikov, I., Linné, H., Heinold, B.,
Hiebsch, A., Schnell, F., Schmidt, J., Mattis, I., Wandinger, U., and
Wiegner, M.: Ash and fine-mode particle mass profiles from EARLINET-AERONET
observations over central Europe after the eruptions of the
Eyjafjallajökull volcano in 2010, J. Geophys. Res.-Atmos., 116, D00U02,
https://doi.org/10.1029/2010JD015567, 2011.
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.
Baars, H., Kanitz, T., Engelmann, R., Althausen, D., Heese, B., Komppula, M., Preißler, J., Tesche, M., Ansmann, A., Wandinger, U., Lim, J.-H., Ahn, J. Y., Stachlewska, I. S., Amiridis, V., Marinou, E., Seifert, P., Hofer, J., Skupin, A., Schneider, F., Bohlmann, S., Foth, A., Bley, S., Pfüller, A., Giannakaki, E., Lihavainen, H., Viisanen, Y., Hooda, R. K., Pereira, S. N., Bortoli, D., Wagner, F., Mattis, I., Janicka, L., Markowicz, K. M., Achtert, P., Artaxo, P., Pauliquevis, T., Souza, R. A. F., Sharma, V. P., van Zyl, P. G., Beukes, J. P., Sun, J., Rohwer, E. G., Deng, R., Mamouri, R.-E., and Zamorano, F.: An overview of the first decade of PollyNET: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling, Atmos. Chem. Phys., 16, 5111–5137, https://doi.org/10.5194/acp-16-5111-2016, 2016.
Burton, S. P., Ferrare, R. A., Hostetler, C. A., Hair, J. W., Rogers, R. R., Obland, M. D., Butler, C. F., Cook, A. L., Harper, D. B., and Froyd, K. D.: Aerosol classification using airborne High Spectral Resolution Lidar measurements – methodology and examples, Atmos. Meas. Tech., 5, 73–98, https://doi.org/10.5194/amt-5-73-2012, 2012.
Carvalho, D.: An Assessment of NASA's GMAO MERRA-2 Reanalysis Surface Winds,
J. Climate, 32, 8261–8281, https://doi.org/10.1175/JCLI-D-19-0199.1, 2019.
Chen, C., Dubovik, O., Henze, D. K., Lapyonak, T., Chin, M., Ducos, F., Litvinov, P., Huang, X., and Li, L.: Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm, Atmos. Chem. Phys., 18, 12551–12580, https://doi.org/10.5194/acp-18-12551-2018, 2018.
Chimot, J., Veefkind, J. P., Vlemmix, T., de Haan, J. F., Amiridis, V., Proestakis, E., Marinou, E., and Levelt, P. F.: An exploratory study on the aerosol height retrieval from OMI measurements of the 477 nm O2–O2 spectral band using a neural network approach, Atmos. Meas. Tech., 10, 783–809, https://doi.org/10.5194/amt-10-783-2017, 2017.
Choi, Y.-S., Lindzen, R. S., Ho, C.-H., and Kim, J.: Space observations of
cold-cloud phase change, P. Natl. Acad. Sci. USA, 107, 11211,
https://doi.org/10.1073/pnas.1006241107, 2010.
Clarisse, L., Clerbaux, C., Franco, B., Hadji-Lazaro, J., Whitburn, S.,
Kopp, A. K., Hurtmans, D., and Coheur, P.: A decadal data set of global
atmospheric dust retrieved from IASI satellite measurements, J. Geophys.
Res.-Atmos., 124, 1618–1647, 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,
e2019GL086186, https://doi.org/10.1029/2019GL086186, 2020.
Didan, K.: MYD13C2 MODIS/Aqua Vegetation Indices Monthly L3 Global 0.05Deg CMG V006, NASA EOSDIS Land Processes DAAC [data set], https://doi.org/10.5067/MODIS/MYD13C2.006 (last access: 3 September 2021), 2015.
Dubovik, O., Sinyuk, A., Lapyonok, T., Holben, B. N., Mishchenko, M., Yang,
P., Eck, T. F., Volten, H., Munoz, 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., 111, D11208, https://doi.org/10.1029/2005jd006619, 2006.
Eck, T. F., Holben, B. N., Reid, J. S., Dubovik, O., Smirnov, A., O'Neill,
N. T., Slutsker, I., and Kinne, S.: Wavelength dependence of the optical
depth of biomass burning, urban, and desert dust aerosols, J. Geophys. Res.-Atmos., 104, 31333–31349, https://doi.org/10.1029/1999JD900923, 1999.
Esselborn, M., Wirth, M., Fix, A., Weinzierl, B., Rasp, K., Tesche, M., and
Petzold, A.: Spatial distribution and optical properties of Saharan dust
observed by airborne high spectral resolution lidar during SAMUM 2006,
Tellus B, 61, 131–143, 2009.
Evan, A. T., Dunion, J., Foley, J. A., Heidinger, A. K., and Velden, C. S.:
New evidence for a relationship between Atlantic tropical cyclone activity
and African dust outbreaks, Geophys. Res. Lett., 33, L19813, https://doi.org/10.1029/2006gl026408, 2006.
Fan, B., Guo, L., Li, N., Chen, J., Lin, H., Zhang, X., Shen, M., Rao, Y.,
Wang, C., and Ma, L.: Earlier vegetation green-up has reduced spring dust
storms, Sci. Rep.-UK, 4, 1–6, https://doi.org/10.1038/srep06749, 2014.
Fiebig, M., Petzold, A., Wandinger, U., Wendisch, M., Kiemle, C., Stifter, A., Ebert, M., Rother, T., and Leiterer, U.: Optical closure for an aerosol column: Method, accuracy, and inferable properties applied to a biomass-burning aerosol and its radiative forcing, J. Geophys. Res., 107, 8130, https://doi.org/10.1029/2000JD000192, 2002.
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.
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.
Ge, J. M., Huang, J. P., Xu, C. P., Qi, Y. L., and Liu, H. Y.:
Characteristics of Taklimakan dust emission and distribution: A satellite
and reanalysis field perspective, J. Geophys. Res.-Atmos., 119,
11772–11783, https://doi.org/10.1002/2014JD022280, 2014.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs,
L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan,
K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A.,
da Silva, A. M., Gu, W., Kim, G. K., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M.,
Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The modern-era retrospective
analysis for research and applications, version 2 (MERRA-2), J. Climate, 30,
5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1, 2017.
Getzewich, B. J., Vaughan, M. A., Hunt, W. H., Avery, M. A., Powell, K. A., Tackett, J. L., Winker, D. M., Kar, J., Lee, K.-P., and Toth, T. D.: CALIPSO lidar calibration at 532 nm: version 4 daytime algorithm, Atmos. Meas. Tech., 11, 6309–6326, https://doi.org/10.5194/amt-11-6309-2018, 2018.
Ginoux, P., Garbuzov, D., and Hsu, N. C.: Identification of anthropogenic
and natural dust sources using moderate resolution imaging spectroradiometer
(MODIS) deep blue level 2 data, J. Geophys. Res.-Atmos., 115, 1–10,
https://doi.org/10.1029/2009JD012398, 2010.
Ginoux, P., Prospero, J. M., Gill, T. E., Hsu, N. C., and Zhao, M.:
Global-scale attribution of anthropogenic and natural dust sources and their
emission rates based on MODIS Deep Blue aerosol products, Rev. Geophys., 50, RG3005,
https://doi.org/10.1029/2012RG000388, 2012.
Gkikas, A., Proestakis, E., Amiridis, V., Kazadzis, S., Di Tomaso, E., Tsekeri, A., Marinou, E., Hatzianastassiou, N., and Pérez García-Pando, C.: ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set, Atmos. Meas. Tech., 14, 309–334, https://doi.org/10.5194/amt-14-309-2021, 2021.
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg1_2d_flx_Nx: 2d,1-Hourly, Time-Averaged, Single-Level, Assimilation, Surface Flux Diagnostics V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC) [data set], https://doi.org/10.5067/7MCPBJ41Y0K6 (last access: 9 February 2021), 2015.
Gong, S. L., Zhang, X. Y., Zhao, T. L., Zhang, # X B, Barrie, L. A.,
Mckendry, I. G., and Zhao, C. S.: A simulated Climatology of Asian Dust
Aerosol and Its Trans-Pacific Transport. Part II: Interannual Variability
and Climate Connections, Atmospheric Research and Environment Program, World
Meteorological Organization, 2005.
Griffin, D. W.: Atmospheric Movement of Microorganisms in Clouds of Desert
Dust and Implications for Human Health, Clin. Microbiol. Rev., 20, 459–477, https://doi.org/10.1128/CMR.00039-06, 2007.
Grousset, F., Ginoux, P., Bory, A., and Biscaye, P.: Case study of a Chinese dust plume reaching the French Alps, Geophys. Res. Lett., 30, 1277, https://doi.org/10.1029/2002GL016833, 2003.
Hansen, J., Sato, M., and Ruedy, R.: Radiative forcing and climate response,
J. Geophys. Res., 102, 6831–6864, https://doi.org/10.1029/96jd03436,
1997.
Hayasaka, T., Satake, S., Shimizu, A., Sugimoto, N., Matsui, I., Aoki, K.,
and Muraji, Y.: Vertical distribution and optical properties of aerosols
observed over Japan during the Atmospheric Brown Clouds-East Asia Regional
Experiment 2005, J. Geophys. Res.-Atmos., 112, D22S35,
https://doi.org/10.1029/2006JD008086, 2007.
Hsu, N. C., Tsay, S. C., King, M. D., and Herman, J. R.: Aerosol properties
over bright-reflecting source regions, IEEE T. Geosci. Remote Sens., 42,
557–569, https://doi.org/10.1109/TGRS.2004.824067, 2004.
Hsu, N. C., Jeong, M.-J., Bettenhausen, C., Sayer, A. M., Hansell, R.,
Seftor, C. S., Huang, J., and Tsay, S.-C.: Enhanced Deep Blue aerosol
retrieval algorithm: The second generation, J. Geophys. Res.-Atmos., 118,
9296–9315, https://doi.org/10.1002/jgrd.50712, 2013.
Huang, J., Minnis, P., Yi, Y., Tang, Q., Wang, X., Hu, Y., Liu, Z., Ayers,
K., Trepte, C., and Winker, D.: Summer dust aerosols detected from CALIPSO
over the Tibetan Plateau, Geophys. Res. Lett., 34, L18805,
https://doi.org/10.1029/2007GL029938, 2007.
Huang, J., Minnis, P., Chen, B., Huang, Z., Liu, Z., Zhao, Q., Yi, Y., and
Ayers, J. K.: Long-range transport and vertical structure of Asian dust from
CALIPSO and surface measurements during PACDEX, J. Geophys. Res.-Atmos.,
113, https://doi.org/10.1029/2008JD010620, 2008.
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, e2019GL086592, https://doi.org/10.1029/2019GL086592, 2020.
Järvinen, E., Kemppinen, O., Nousiainen, T., Kociok, T., Möhler, O.,
Leisner, T., and Schnaiter, M.: Laboratory investigations of mineral dust
near-backscattering depolarization ratios, J. Quant. Spectrosc. Ra., 178, 192–208, https://doi.org/10.1016/j.jqsrt.2016.02.003, 2016.
Jickells, T. D., An, Z. S., Andersen, K. K., Baker, A. R., Bergametti, G.,
Brooks, N., Cao, J. J., Boyd, P. W., Duce, R. A., Hunter, K. A., Kawahata,
H., Kubilay, N., Laroche, J., Liss, P. S., Mahowald, N., Prospero, J. M.,
Ridgwell, A. J., Tegen, I., and Torres, R.: Global Iron Connections Between
Desert Dust, Ocean Biogeochemistry, and Climate, Science, 308, 67–71,
2005.
Kalashnikova, O. V, Kahn, R., Sokolik, I. N., and Li, W.: Ability of
multiangle remote sensing observations to identify and distinguish mineral
dust types: Optical models and retrievals of optically thick plumes, J.
Geophys. Res.-Atmos., 110, D18S14, https://doi.org/10.1029/2004JD004550, 2005.
Kar, J., Vaughan, M. A., Lee, K.-P., Tackett, J. L., Avery, M. A., Garnier, A., Getzewich, B. J., Hunt, W. H., Josset, D., Liu, Z., Lucker, P. L., Magill, B., Omar, A. H., Pelon, J., Rogers, R. R., Toth, T. D., Trepte, C. R., Vernier, J.-P., Winker, D. M., and Young, S. A.: CALIPSO lidar calibration at 532 nm: version 4 nighttime algorithm, Atmos. Meas. Tech., 11, 1459–1479, https://doi.org/10.5194/amt-11-1459-2018, 2018.
Kaufman, Y. J., Koren, I., Remer, L. A., Tanré, D., Ginoux, P., and Fan,
S.: Dust transport and deposition observed from the Terra-Moderate
Resolution Imaging Spectroradiometer (MODIS) spacecraft over the Atlantic
Ocean, J. Geophys. Res.-Atmos., 110, 1–16,
https://doi.org/10.1029/2003JD004436, 2005.
Kim, D., Chin, M., Yu, H., Pan, X., Bian, H., Tan, Q., Kahn, R. A.,
Tsigaridis, K., Bauer, S. E., Takemura, T., Pozzoli, L., Bellouin, N., and
Schulz, M.: Asian and Trans-Pacific Dust: A Multimodel and Multiremote
Sensing Observation Analysis, J. Geophys. Res.-Atmos., 124, 13534–13559,
https://doi.org/10.1029/2019JD030822, 2019.
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.
Klein, S. A. and Hartmann, D. L.: The Seasonal Cycle of Low Stratiform
Clouds, J. Climate, 6, 1587–1606,
https://doi.org/10.1175/1520-0442(1993)006<1587:TSCOLS>2.0.CO;2, 1993.
Klüser, L., Martynenko, D., and Holzer-Popp, T.: Thermal infrared remote sensing of mineral dust over land and ocean: a spectral SVD based retrieval approach for IASI, Atmos. Meas. Tech., 4, 757–773, https://doi.org/10.5194/amt-4-757-2011, 2011.
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.
Kurosaki, Y. and Mikami, M.: Recent frequent dust events and their relation
to surface wind in East Asia, Geophys. Res. Lett., 30, 1736,
https://doi.org/10.1029/2003GL017261, 2003.
Lau, K. M. and Kim, K. M.: Cooling of the Atlantic by Saharan dust, Geophys.
Res. Lett., 34, L23811, https://doi.org/10.1029/2007gl031538, 2007.
Lee, E. H. and Sohn, B. J.: Recent increasing trend in dust frequency over
Mongolia and Inner Mongolia regions and its association with climate and
surface condition change, Atmos. Environ., 45, 4611–4616,
https://doi.org/10.1016/j.atmosenv.2011.05.065, 2011.
Levy, R. C., Mattoo, S., Munchak, L. A., Remer, L. A., Sayer, A. M., Patadia, F., and Hsu, N. C.: The Collection 6 MODIS aerosol products over land and ocean, Atmos. Meas. Tech., 6, 2989–3034, https://doi.org/10.5194/amt-6-2989-2013, 2013.
Levy, R. C., Mattoo, S., Sawyer, V., Shi, Y., Colarco, P. R., Lyapustin, A. I., Wang, Y., and Remer, L. A.: Exploring systematic offsets between aerosol products from the two MODIS sensors, Atmos. Meas. Tech., 11, 4073–4092, https://doi.org/10.5194/amt-11-4073-2018, 2018.
Li, W. J. and Shao, L. Y.: Observation of nitrate coatings on atmospheric mineral dust particles, Atmos. Chem. Phys., 9, 1863–1871, https://doi.org/10.5194/acp-9-1863-2009, 2009.
Liu, Z., Sugimoto, N., and Murayama, T.: Extinction-to-backscatter ratio of
Asian dust observed with high-spectral-resolution lidar and Raman lidar,
Appl. Optics, 41, 2760–2767, 2002.
Marinou, E., Amiridis, V., Binietoglou, I., Tsikerdekis, A., Solomos, S., Proestakis, E., Konsta, D., Papagiannopoulos, N., Tsekeri, A., Vlastou, G., Zanis, P., Balis, D., Wandinger, U., and Ansmann, A.: Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset, Atmos. Chem. Phys., 17, 5893–5919, https://doi.org/10.5194/acp-17-5893-2017, 2017.
Martins, J. V., Tanré, D., Remer, L., Kaufman, Y., Mattoo, S., and Levy,
R.: MODIS cloud screening for remote sensing of aerosols over oceans using
spatial variability, Geophys. Res. Lett., 29, MOD4-1–MOD4-4,
https://doi.org/10.1029/2001GL013252, 2002.
Mbourou, G. N., Bertrand, J. J., and Nicholson, S. E.: The Diurnal and
Seasonal Cycles of Wind-Borne Dust over Africa North of the Equator, J.
Appl. Meteorol., 36, 868–882,
https://doi.org/10.1175/1520-0450(1997)036<0868:TDASCO>2.0.CO;2, 1997.
Mielonen, T., Arola, A., Komppula, M., Kukkonen, J., Koskinen, J., De Leeuw,
G., and Lehtinen, K. E. J.: Comparison of CALIOP level 2 aerosol subtypes to
aerosol types derived from AERONET inversion data, Geophys. Res. Lett., 36, L18804,
https://doi.org/10.1029/2009GL039609, 2009.
Miller, R. L. and Tegen, I.: Climate response to soil dust aerosols, J.
Climate, 11, 3247–3267, https://doi.org/10.1175/1520-0442(1998)011<3247:Crtsda>2.0.Co;2, 1998.
Müller, D., Ansmann, A., Mattis, I., Tesche, M., Wandinger, U.,
Althausen, D., and Pisani, G.: Aerosol-type-dependent lidar ratios observed
with Raman lidar, J. Geophys. Res.-Atmos., 112, D16202, https://doi.org/10.1029/2006JD008292, 2007.
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. Tech., 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.
O'Neill, N. T., Eck, T. F., Smirnov, A., Holben, B. N., and Thulasiraman,
S.: Spectral discrimination of coarse and fine mode optical depth, J.
Geophys. Res.-Atmos., 108, 4559, https://doi.org/10.1029/2002jd002975, 2003.
Painter, T. H., Barrett, A. P., Landry, C. C., Neff, J. C., Cassidy, M. P., Lawrence, C. R., McBride, K. E., and Farmer, G. L.: Impact of disturbed desert soils on duration of mountain snow cover, Geophys. Res. Lett., 34, L12502, https://doi.org/10.1029/2007GL030284, 2007.
Parrington, J. R., Zoller, W. H., and Aras, N. K.: Asian Dust: Seasonal
Transport to the Hawaiian Islands, Science, 220, 195–197,
https://doi.org/10.1126/science.220.4593.195, 1983.
Proestakis, E., Amiridis, V., Marinou, E., Georgoulias, A. K., Solomos, S., Kazadzis, S., Chimot, J., Che, H., Alexandri, G., Binietoglou, I., Daskalopoulou, V., Kourtidis, K. A., de Leeuw, G., and van der A, R. J.: Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP, Atmos. Chem. Phys., 18, 1337–1362, https://doi.org/10.5194/acp-18-1337-2018, 2018.
Prospero, J. M., Ginoux, P., Torres, O., Nicholson, S. E., and Gill, T. E.:
Environmental characterization of global sources of atmospheric soil dust
identified with the Nimbus 7 Total Ozone Mapping Spectrometer (TOMS)
absorbing aerosol product, Rev. Geophys., 40, 2-1–2-31,
https://doi.org/10.1029/2000RG000095, 2002.
Pu, B. and Ginoux, P.: How reliable are CMIP5 models in simulating dust optical depth?, Atmos. Chem. Phys., 18, 12491–12510, https://doi.org/10.5194/acp-18-12491-2018, 2018.
Qian, W., Quan, L., and Shi, S.: Variations of the dust storm in China and
its climatic control, J. Climate, 15, 1216–1229,
https://doi.org/10.1175/1520-0442(2002)015<1216:VOTDSI>2.0.CO;2, 2002.
Querol, X., Tobías, A., Pérez, N., Karanasiou, A., Amato, F.,
Stafoggia, M., García-Pando, C. P., Ginoux, P., Forastiere, F., and
Gumy, S.: Monitoring the impact of desert dust outbreaks for air quality for
health studies, Environ. Int., 130, 104867, https://doi.org/10.1016/j.envint.2019.05.061, 2019.
Rajapakshe, C., Zhang, Z., Yorks, J. E., Yu, H., Tan, Q., Meyer, K.,
Platnick, S., and Winker, D. M.: Seasonally transported aerosol layers over
southeast Atlantic are closer to underlying clouds than previously reported,
Geophys. Res. Lett., 44, 5818–5825, 2017.
Reichle, R. H., Liu, Q., Koster, R. D., Draper, C. S., Mahanama, S. P. P.,
and Partyka, G. S.: Land Surface Precipitation in MERRA-2, J. Climate, 30,
1643–1664, https://doi.org/10.1175/JCLI-D-16-0570.1, 2017.
Remer, L. A., Kaufman, Y. J., Tanre, D., Mattoo, S., Chu, D. A., Martins, J.
V, Li, R. R., Ichoku, C., Levy, R. C., Kleidman, R. G., Eck, T. F., Vermote,
E., and Holben, B. N.: The MODIS aerosol algorithm, products, and
validation, J. Atmos. Sci., 62, 947–973, https://doi.org/10.1175/Jas3385.1, 2005.
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.
Rosenfeld, D. and Lensky, I. M.: Satellite-based insights into precipitation
formation processes in continental and maritime convective clouds, B. Am.
Meteorol. Soc., 79, 2457–2476, https://doi.org/10.1175/1520-0477(1998)079<2457:Sbiipf>2.0.Co;2, 1998.
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, 4441–4449,
2010.
Sayer, A. M., Hsu, N. C., Bettenhausen, C., and Jeong, M. J.: Validation and
uncertainty estimates for MODIS Collection 6 “deep Blue” aerosol data, J.
Geophys. Res.-Atmos., 118, 7864–7872, https://doi.org/10.1002/jgrd.50600,
2013.
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.
Shao, Y. P., Wyrwoll, K. H., Chappell, A., Huang, J. P., Lin, Z. H.,
McTainsh, G. H., Mikami, M., Tanaka, T. Y., Wang, X. L., and Yoon, S.: Dust
cycle: An emerging core theme in Earth system science, Aeolian Res., 2,
181–204, https://doi.org/10.1016/j.aeolia.2011.02.001, 2011.
Shimizu, A., Sugimoto, N., Matsui, I., Arao, K., Uno, I., Murayama, T.,
Kagawa, N., Aoki, K., Uchiyama, A., and Yamazaki, A. A.: Continuous
observations of Asian dust and other aerosols by polarization lidars in
China and Japan during ACE-Asia, J. Geophys. Res.-Atmos., 109, D19S17,
https://doi.org/10.1029/2002JD003253, 2004.
Shimizu, A., Sugimoto, N., Nishizawa, T., Jin, Y., and Batdorj, D.:
Variations of dust extinction coefficient estimated by lidar observations
over Japan, 2007–2016, Sci. Online Lett. Atmos., 13, 205–208,
https://doi.org/10.2151/sola.2017-037, 2017.
Song, H., Zhang, K., Piao, S., and Wan, S.: Spatial and temporal variations
of spring dust emissions in northern China over the last 30 years, Atmos.
Environ., 126, 117–127, 2016.
Song, Q., Zhang, Z., Yu, H., Kato, S., Yang, P., Colarco, P., Remer, L. A., and Ryder, C. L.: Net radiative effects of dust in the tropical North Atlantic based on integrated satellite observations and in situ measurements, Atmos. Chem. Phys., 18, 11303–11322, https://doi.org/10.5194/acp-18-11303-2018, 2018.
Song, Q., Yu, H., and Ginoux, P.:
The global DAOD and dust vertical extinction coefficient climatology data
derived from CALIOP in this study and the MODIS DAOD retrieval data over
land and ocean [data set], available at:
https://drive.google.com/drive/folders/1aQVupe7govPwR6qmsqUbR4fJQsp1DBCX?usp=sharing, last access: 9 Fenruary 2021.
Sternberg, T., Rueff, H., and Middleton, N.: Contraction of the Gobi desert,
2000–2012, Remote Sens., 7, 1346–1358, https://doi.org/10.3390/rs70201346,
2015.
Su, L. and Toon, O. B.: Saharan and Asian dust: similarities and differences determined by CALIPSO, AERONET, and a coupled climate-aerosol microphysical model, Atmos. Chem. Phys., 11, 3263–3280, https://doi.org/10.5194/acp-11-3263-2011, 2011.
Tan, I., Storelvmo, T., and Choi, Y.-S.: Spaceborne lidar observations of
the ice-nucleating potential of dust, polluted dust, and smoke aerosols in
mixed-phase clouds, J. Geophys. Res.-Atmos., 119, 6653–6665,
https://doi.org/10.1002/2013JD021333, 2014.
Tang, M., Zhang, H., Gu, W., Gao, J., Jian, X., Shi, G., Zhu, B., Xie, L.,
Guo, L., Gao, X., Wang, Z., Zhang, G., and Wang, X.: Hygroscopic Properties
of Saline Mineral Dust From Different Regions in China: Geographical
Variations, Compositional Dependence, and Atmospheric Implications, J.
Geophys. Res.-Atmos., 124, 10844–10857,
https://doi.org/10.1029/2019JD031128, 2019.
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.
Textor, C., Schulz, M., Guibert, S., Kinne, S., Balkanski, Y., Bauer, S., Berntsen, T., Berglen, T., Boucher, O., Chin, M., Dentener, F., Diehl, T., Easter, R., Feichter, H., Fillmore, D., Ghan, S., Ginoux, P., Gong, S., Grini, A., Hendricks, J., Horowitz, L., Huang, P., Isaksen, I., Iversen, I., Kloster, S., Koch, D., Kirkevåg, A., Kristjansson, J. E., Krol, M., Lauer, A., Lamarque, J. F., Liu, X., Montanaro, V., Myhre, G., Penner, J., Pitari, G., Reddy, S., Seland, Ø., Stier, P., Takemura, T., and Tie, X.: Analysis and quantification of the diversities of aerosol life cycles within AeroCom, Atmos. Chem. Phys., 6, 1777–1813, https://doi.org/10.5194/acp-6-1777-2006, 2006.
Thorsen, T. J. and Fu, Q.: CALIPSO-inferred aerosol direct radiative
effects: Bias estimates using ground-based raman lidars, J. Geophys. Res.,
120, 12209–12220, https://doi.org/10.1002/2015JD024095, 2015.
Twomey, S.: The influence of pollution on the shortwave albedo of clouds, J.
Atmos. Sci., 34, 1149–1152, 1977.
Uno, I., Eguchi, K., Yumimoto, K., Takemura, T., Shimizu, A., Uematsu, M.,
Liu, Z., Wang, Z., Hara, Y., and Sugimoto, N.: Asian dust transported one
full circuit around theglobe, Nat. Geosci., 2, 557–560,
https://doi.org/10.1038/ngeo583, 2009.
Voss, K. J., Welton, E. J., Quinn, P. K., Johnson, J., Thompson, A. M., and
Gordon, H. R.: Lidar measurements during Aerosols99, J. Geophys. Res.-Atmos., 106, 20821–20831, 2001.
Voss, K. K. and Evan, A. T.: A new satellite-based global climatology of
dust aerosol optical depth, J. Appl. Meteorol. Clim., 59, 83–102, 2020.
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.
Winker, D. M., Pelon, J., Coakley, J. A., Ackerman, S. A., Charlson, R. J., Colarco, P. R., Flamant, P., Fu, Q., Hoff, R. M., Kittaka, C., Kubar, T. L., Le Treut, H., McCormick, M. P., Megie, G., Poole, L., Powell, K., Trepte, C., Vaughan, M. A., and Wielicki, B. A.: THE CALIPSO MISSION A Global 3D View of Aerosols and Clouds, Bull. Am. Meteorol. Soc., 91, 1211–1229, https://doi.org/10.1175/2010bams3009.1, 2010.
Winker, D. M., Tackett, J. L., Getzewich, B. J., Liu, Z., Vaughan, M. A., and Rogers, R. R.: The global 3-D distribution of tropospheric aerosols as characterized by CALIOP, Atmos. Chem. Phys., 13, 3345–3361, https://doi.org/10.5194/acp-13-3345-2013, 2013.
Wu, C., Lin, Z., and Liu, X.: The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models, Atmos. Chem. Phys., 20, 10401–10425, https://doi.org/10.5194/acp-20-10401-2020, 2020a.
Wu, M., Liu, X., Yu, H., Wang, H., Shi, Y., Yang, K., Darmenov, A., Wu, C., Wang, Z., Luo, T., Feng, Y., and Ke, Z.: Understanding processes that control dust spatial distributions with global climate models and satellite observations, Atmos. Chem. Phys., 20, 13835–13855, https://doi.org/10.5194/acp-20-13835-2020, 2020b.
Wu, T., Li, Z., Chen, J., Wang, Y., Wu, H., Jin, X., Liang, C., Li, S.,
Wang, W., and Cribb, M.: Hygroscopicity of different types of aerosol
particles: Case studies using multi-instrument data in megacity Beijing,
China, Remote Sens., 12, 785, https://doi.org/10.3390/rs12050785, 2020c.
Xu, H., Zheng, F., and Zhang, W.: Variability in dust observed over China
using a-train caliop instrument, Adv. Meteorol., 2016, 1246590,
https://doi.org/10.1155/2016/1246590, 2016.
Yang, W., Marshak, A., Várnai, T., Kalashnikova, O. V., and Kostinski, A. B.: CALIPSO observations of transatlantic dust: vertical stratification and effect of clouds, Atmos. Chem. Phys., 12, 11339–11354, https://doi.org/10.5194/acp-12-11339-2012, 2012.
Yorks, J. E., Palm, S. P., Hlavka, D. L., McGill, M. J., Nowottnick, E., Selmer, P., and Hart, W. D.: The Cloud-Aerosol Transport System (CATS) algorithm theoretical basis document, available at: http://cats.gsfc.nasa.gov/media/docs/CATS_ATBD.pdf (last access: 7 September 2021), 2015.
Young, S. A., Vaughan, M. A., Garnier, A., Tackett, J. L., Lambeth, J. D., and Powell, K. A.: Extinction and optical depth retrievals for CALIPSO's Version 4 data release, Atmos. Meas. Tech., 11, 5701–5727, https://doi.org/10.5194/amt-11-5701-2018, 2018.
Yu, H., Chin, M., Remer, L. A., Kleidman, R. G., Bellouin, N., Bian, H., and
Diehl, T.: Variability of marine aerosol fine-mode fraction and estimates of
anthropogenic aerosol component over cloud-free oceans from the Moderate
Resolution Imaging Spectroradiometer (MODIS), J. Geophys. Res.-Atmos., 114,
1–11, https://doi.org/10.1029/2008JD010648, 2009.
Yu, H., Chin, M., Winker, D. M., Omar, A. H., Liu, Z., Kittaka, C., and
Diehl, T.: Global view of aerosol vertical distributions from CALIPSO lidar
measurements and GOCART simulations: Regional and seasonal variations, J.
Geophys. Res.-Atmos., 115, 1–19, https://doi.org/10.1029/2009JD013364,
2010.
Yu, H., Remer, L. A., Chin, M., Bian, H., Tan, Q., Yuan, T., and Zhang, Y.:
Aerosols from overseas rival domestic emissions over North America, Science, 337, 566–569, 2012.
Yu, H., Remer, L. A., Kahn, R. A., Chin, M., and Zhang, Y.: Satellite
perspective of aerosol intercontinental transport: From qualitative tracking
to quantitative characterization, Atmos. Res., 124, 73–100,
https://doi.org/10.1016/j.atmosres.2012.12.013, 2013.
Yu, H., Tan, Q., Chin, M., Remer, L. A., Kahn, R. A., Bian, H., Kim, D.,
Zhang, Z., Yuan, T., Omar, A. H., Winker, D. M., Levy, R. C., Kalashnikova,
O., Crepeau, L., Capelle, V., and Chédin, A.: Estimates of African Dust
Deposition Along the Trans-Atlantic Transit Using the Decadelong Record of
Aerosol Measurements from CALIOP, MODIS, MISR, and IASI, J. Geophys. Res.-Atmos., 124, 7975–7996, https://doi.org/10.1029/2019JD030574, 2019.
Yu, H., Yang, Y., Wang, H., Tan, Q., Chin, M., Levy, R. C., Remer, L. A., Smith, S. J., Yuan, T., and Shi, Y.: Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017, Atmos. Chem. Phys., 20, 139–161, https://doi.org/10.5194/acp-20-139-2020, 2020.
Yu, H., Tan, Q., Zhou, L., Zhou, Y., Bian, H., Chin, M., Ryder, C. L., Levy, R. C., Pradhan, Y., Shi, Y., Song, Q., Zhang, Z., Colarco, P. R., Kim, D., Remer, L. A., Yuan, T., Mayol-Bracero, O., and Holben, B. N.: Observation and modeling of the historic “Godzilla” African dust intrusion into the Caribbean Basin and the southern US in June 2020, Atmos. Chem. Phys., 21, 12359–12383, https://doi.org/10.5194/acp-21-12359-2021, 2021.
Yu, H. B., Chin, M., Bian, H. S., Yuan, T. L., Prospero, J. M., Omar, A. H.,
Remer, L. A., Winker, D. M., Yang, Y. K., Zhang, Y., and Zhang, Z. B.:
Quantification of trans-Atlantic dust transport from seven-year (2007–2013)
record of CALIPSO lidar measurements, Remote Sens. Environ., 159, 232–249,
https://doi.org/10.1016/j.rse.2014.12.010, 2015a.
Yu, H. B., Chin, M., Yuan, T. L., Bian, H. S., Remer, L. A., Prospero, J.
M., Omar, A., Winker, D., Yang, Y. K., Zhang, Y., Zhang, Z. B., and Zhao,
C.: The fertilizing role of African dust in the Amazon rainforest: A first
multiyear assessment based on data from Cloud-Aerosol Lidar and Infrared
Pathfinder Satellite Observations, Geophys. Res. Lett., 42, 1984–1991,
https://doi.org/10.1002/2015gl063040, 2015b.
Yu, Y., Kalashnikova, O. V., Garay, M. J., and Notaro, M.: Climatology of Asian dust activation and transport potential based on MISR satellite observations and trajectory analysis, Atmos. Chem. Phys., 19, 363–378, https://doi.org/10.5194/acp-19-363-2019, 2019.
Yu, Y., Kalashnikova, O. V., Garay, M. J., Lee, H., Choi, M., Okin, G. S., Yorks, J. E., Campbell, J. R., and Marquis, J.: A global analysis of diurnal variability in dust and dust mixture using CATS observations, Atmos. Chem. Phys., 21, 1427–1447, https://doi.org/10.5194/acp-21-1427-2021, 2021.
Yue, X., Wang, H., Wang, Z., and Fan, K.: Simulation of dust aerosol
radiative feedback using the Global Transport Model of Dust: 1. Dust cycle
and validation, J. Geophys. Res.-Atmos., 114, D10202,
https://doi.org/10.1029/2008JD010995, 2009.
Short summary
We present a satellite-derived global dust climatological record over the last two decades, including the monthly mean visible dust optical depth (DAOD) and vertical distribution of dust extinction coefficient at a 2º × 5º spatial resolution derived from CALIOP and MODIS. In addition, the CALIOP climatological dataset also includes dust vertical extinction profiles. Based on these two datasets, we carried out a comprehensive comparative study of the spatial and temporal climatology of dust.
We present a satellite-derived global dust climatological record over the last two decades,...
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