Articles | Volume 21, issue 6
https://doi.org/10.5194/acp-21-4849-2021
© 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-21-4849-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Mar 2021
Research article |
| 29 Mar 2021
| 29 Mar 2021
Aerosol characteristics at the three poles of the Earth as characterized by Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations
Yikun Yang
College of Global Change and Earth System Science, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
Joint Center for Global Change Studies, Beijing Normal University, Beijing 100875, China
College of Global Change and Earth System Science, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
Joint Center for Global Change Studies, Beijing Normal University, Beijing 100875, China
Quan Wang
Department of Atmospheric Physics, Nanjing University, Nanjing 210046, China
Zhiyuan Cong
Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing, 100101, China
Xingchuan Yang
College of Global Change and Earth System Science, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
Joint Center for Global Change Studies, Beijing Normal University, Beijing 100875, China
College of Global Change and Earth System Science, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
Joint Center for Global Change Studies, Beijing Normal University, Beijing 100875, China
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Cited articles
AboEl-Fetouh, Y., O'Neill, N., Ranjbar, K., Hesaraki, S., Abboud, I., and Sobolewski, P.:
Climatological-scale analysis of intensive and semi-intensive aerosol parameters derived from AERONET retrievals over the Arctic,
J. Geophys. Res.-Atmos.,
125, e2019JD031569, https://doi.org/10.1029/2019jd031569, 2020.
Albrecht, B.:
Aerosols, cloud microphysics, and fractional cloudiness,
Science,
245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989.
Amiri-Farahani, A., Allen, R. J., Neubauer, D., and Lohmann, U.: Impact of Saharan dust on North Atlantic marine stratocumulus clouds: importance of the semidirect effect, Atmos. Chem. Phys., 17, 6305–6322, https://doi.org/10.5194/acp-17-6305-2017, 2017.
Ashrafi, K., Shafiepour-Motlagh, M., Aslemand, A., and Ghader, S.:
Dust storm simulation over Iran using HYSPLIT,
J. Environ. Health Sci.,
12, 9, https://doi.org/10.1186/2052-336x-12-9, 2014.
Asmi, E., Neitola, K., Teinila, K., Rodriguez, E., Virkkula, A., Backman, J., Bloss, M., Jokela, J., Lihavainen, H., De Leeuw, G., Paatero, J., Aaltonen, V., Mei, M., Gambarte, G., Copes, G., Albertini, M., Perez Fogwill, G., Ferrara, J., Elena Barlasina, M., and Sanchez, R.:
Primary sources control the variability of aerosol optical properties in the Antarctic Peninsula,
Tellus B,
70, 1414571, https://doi.org/10.1080/16000889.2017.1414571, 2018.
Barbaro, E., Padoan, S., Kirchgeorg, T., Zangrando, R., Toscano, G., Barbante, C., and Gambaro, A.:
Particle size distribution of inorganic and organic ions in coastal and inland Antarctic aerosol,
Environ. Sci. Pollut. R.,
24, 2724–2733, https://doi.org/10.1007/s11356-016-8042-x, 2017.
Barrie L.:
Arctic Aerosols: Composition, Sources and Transport,
in: Ice Core Studies of Global Biogeochemical Cycles. NATO ASI Series (Series I: Global Environmental Change), vol 30,
edited by: Delmas, R. J.,
Springer, Berlin, Heidelberg, 1–22, https://doi.org/10.1007/978-3-642-51172-1_1, 1995.
Bodhaine, B.:
Aerosol absorption measurements at Barrow, Mauna Loa and the South Pole,
J. Geophys. Res.-Atmos.,
100, 8967–8975, https://doi.org/10.1029/95JD00513, 1995.
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S., Sherwood, S., Stevens, B., and Zhang, X.:
Clouds and Aerosols,
in: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Stocker, T., Qin, D., Plattner, G.-K., Tignor, M., Allen, S., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P.,
Cambridge University Press, Cambridge, UK and New York, NY, USA, 2013.
Breider, T. J., Mickley, L. J., Jacob, D. J., Wang, Q., Fisher, J. A., Chang, R. Y. W., and Alexander, B.:
Annual distributions and sources of Arctic aerosol components, aerosol optical depth, and aerosol absorption,
J. Geophys. Res.-Atmos.,
119, 4107–4124, https://doi.org/10.1002/2013jd020996, 2014.
Burton, S. P., Ferrare, R. A., Vaughan, M. A., Omar, A. H., Rogers, R. R., Hostetler, C. A., and Hair, J. W.: Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask, Atmos. Meas. Tech., 6, 1397–1412, https://doi.org/10.5194/amt-6-1397-2013, 2013.
Carter, E., Archer-Nicholls, S., Ni, K., Lai, A. M., Niu, H., Secrest, M. H., Sauer, S. M., Schauer, J. J., Ezzati, M., Wiedinmyer, C., Yang, X., and Baumgartner, J.:
Seasonal and diurnal air pollution from residential cooking and space heating in the eastern Tibetan Plateau,
Environ. Sci. Technol.,
50, 8353–8361, https://doi.org/10.1021/acs.est.6b00082, 2016.
Chaubey, J. P., Krishna Moorthy, K., Suresh Babu, S., and Nair, V. S.: The optical and physical properties of atmospheric aerosols over the Indian Antarctic stations during southern hemispheric summer of the International Polar Year 2007–2008, Ann. Geophys., 29, 109–121, https://doi.org/10.5194/angeo-29-109-2011, 2011.
Cheng, Y., Dai, T., Li, J., and Shi, G.: Measurement Report: Determination of aerosol vertical features on different timescales over East Asia based on CATS aerosol products, Atmos. Chem. Phys., 20, 15307–15322, https://doi.org/10.5194/acp-20-15307-2020, 2020.
Cong, Z., Kang, S., Smirnov, A., and Holben, B.:
Aerosol optical properties at Nam Co, a remote site in central Tibetan Plateau,
Atmos. Res.,
92, 42–48, https://doi.org/10.1016/j.atmosres.2008.08.005, 2009.
Cong, Z., Kang, S., Kawamura, K., Liu, B., Wan, X., Wang, Z., Gao, S., and Fu, P.: Carbonaceous aerosols on the south edge of the Tibetan Plateau: concentrations, seasonality and sources, Atmos. Chem. Phys., 15, 1573–1584, https://doi.org/10.5194/acp-15-1573-2015, 2015.
Dagsson-Waldhauserova, P., Renard, J.-B., Olafsson, H., Vignelles, D., Berthet, G., Verdier, N., and Duverger, V.:
Vertical distribution of aerosols in dust storms during the Arctic winter,
Sci. Rep.-UK,
9, 16122, https://doi.org/10.1038/s41598-019-51764-y, 2019.
Das, S. and Jayaraman, A.:
Role of black carbon in aerosol properties and radiative forcing over western India during premonsoon period,
Atmos. Res.,
102, 320–334, https://doi.org/10.1016/j.atmosres.2011.08.003, 2011.
Di Biagio, C., Pelon, J., Ancellet, G., Bazureau, A., and Mariage, V.:
Sources, Load, Vertical Distribution, and Fate of Wintertime Aerosols North of Svalbard From Combined V4 CALIOP Data, Ground-Based IAOOS Lidar Observations and Trajectory Analysis,
J. Geophys. Res.-Atmos.,
123, 1363–1383, https://doi.org/10.1002/2017jd027530, 2018.
Di Carmine, C., Campanelli, M., Nakajima, T., Tomasi, C., and Vitale, V.:
Retrievals of Antarctic aerosol characteristics using a Sun-sky radiometer during the 2001–2002 austral summer campaign,
J. Geophys. Res.-Atmos.,
110, D13202, https://doi.org/10.1029/2004jd005280, 2005.
Diner, D., Beckert, J., Reilly, T., Bruegge, C., Conel, J., Kahn, R., Martonchik, R., Ackerman, T., Davies, R., Gerstl, S., Gordon, H., Muller, J., Myneni, R., Sellers, P., Pinty, B., and Verstraete, M.:
Multi-angle Imaging Spectro Radiometer (MISR) instrument description and experiment overview,
IEEE T. Geosci. Remote,
36, 1072–1087, 1998.
Diner, D., Abdou, W., Ackerman, T., Crean, K., Gordon, H., Kahn, R., Martonchik, J., McMuldroch, S., Paradise, S., Pinty, B., Verstraete, M., Wang, M., and West, R.: MISR level 2 aerosol retrieval algorithm theoretical basis, JPL D-11400, Rev. 60 G, Jet Propul. Lab., Calif. Inst. of Technol., Pasadena, CA, USA, available at: https://eospso.gsfc.nasa.gov/sites/default/files/atbd/atbd-misr-09.pdf (last access: 24 March 2021), 2008.
Draxler, R. and Hess, G.:
An overview of the HYSPLIT_4 modelling system for trajectories, dispersion and deposition,
Aust. Meteorol. Mag.,
47, 295–308, 1998.
Dubovik, O. and King, M.:
A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements,
J. Geophys. Res.-Atmos.,
105, 20673–20696, https://doi.org/10.1029/2000jd900282, 2000.
Dubovik, O., Holben, B., Lapyonok, T., Sinyuk, A., Mishchenko, M., Yang, P., and Slutsker, I.:
Non-spherical aerosol retrieval method employing light scattering by spheroids,
Geophys. Res. Lett.,
29, 1415, https://doi.org/10.1029/2001gl014506, 2002.
Dubovik, O., Sinyuk, A., Lapyonok, T., Holben, B., Mishchenko, M., Yang, P., Eck, T., Volten, H., Munoz, O., Veihelmann, B., van der Zande, W., Leon, J., Sorokin, M., and Slutsker, I.:
Application of spheroid models to account for aerosol particle non-sphericity in remote sensing of desert dust,
J. Geophys. Res.-Atmos.,
111, D11208, https://doi.org/10.1029/2005jd006619, 2006.
Eleftheriadis, K., Nyeki, S., Psomiadou, C., and Colbeck, I.: Background aerosol properties in the European Arctic, Water, Air, Soil Pollut.: Focus, 4, 23–30, https://doi.org/10.1023/B:WAFO.0000044783.70114.19, 2004.
Engling, G., Zhang, Y., Chan, C., Sang, X., Lin, M., Ho, K., Li, Y., Lin, C., and Lee, J.:
Characterization and sources of aerosol particles over the southeastern Tibetan Plateau during the Southeast Asia biomass-burning season,
Tellus B,
63, 117–128, https://doi.org/10.1111/j.1600-0889.2010.00512.x, 2011.
Engvall, A.-C., Krejci, R., Ström, J., Treffeisen, R., Scheele, R., Hermansen, O., and Paatero, J.: Changes in aerosol properties during spring-summer period in the Arctic troposphere, Atmos. Chem. Phys., 8, 445–462, https://doi.org/10.5194/acp-8-445-2008, 2008.
Erickson, D., Merrill, J., and Duce, R.:
Seasonal Estimates of Global Atmospheric Sea-Salt Distribution,
J. Geophys. Res.-Atmos.,
91, 1067–1072, https://doi.org/10.1029/JD091iD01p01067, 1986.
Fan, S.:
Modeling of observed mineral dust aerosols in the arctic and the impact on winter season low-level clouds,
J. Geophys. Res.-Atmos.,
118, 11161–11174, https://doi.org/10.1002/jgrd.50842, 2013.
Garrett, T. and Zhao, C.:
Increased Arctic cloud longwave emissivity associated with pollution from mid-latitudes,
Nature,
440, 787–789, https://doi.org/10.1038/nature04636, 2006.
Garrett, T., Zhao, C., and Novelli, P.:
Assessing the relative contributions of transport efficiency and scavenging to seasonal variability in Arctic aerosol,
Tellus B,
62, 190–196, https://doi.org/10.1111/j.1600-0889.2010.00453.x, 2010.
Ghan, S. J. and Easter, R. C.: Impact of cloud-borne aerosol representation on aerosol direct and indirect effects, Atmos. Chem. Phys., 6, 4163–4174, https://doi.org/10.5194/acp-6-4163-2006, 2006.
Giles, D., Holben, B., Eck, T., Sinyuk, A., Smirnov, A., Slutsker, I., Dickerson, R. R., Thompson, A. M., and Schafer, J. S.:
An analysis of AERONET aerosol absorption properties and classifications representative of aerosol source regions,
J. Geophys. Res.-Atmos.,
117, D17203, https://doi.org/10.1029/2012jd018127, 2012.
Granados-Muñoz, M. J., Sicard, M., Papagiannopoulos, N., Barragán, R., Bravo-Aranda, J. A., and Nicolae, D.: Two-dimensional mineral dust radiative effect calculations from CALIPSO observations over Europe, Atmos. Chem. Phys., 19, 13157–13173, https://doi.org/10.5194/acp-19-13157-2019, 2019.
Grassl, S. and Ritter, C.:
Properties of Arctic aerosol based on sun photometer long-term measurements in Ny-angstrom lesund, Svalbard,
Remote Sensing,
11, 1362, https://doi.org/10.3390/rs11111362, 2019.
Hall, J. and Wolff, E.:
Causes of seasonal and daily variations in aerosol sea-salt concentrations at a coastal Antarctic station,
Atmos. Environ.,
32, 3669–3677, https://doi.org/10.1016/s1352-2310(98)00090-9, 1998.
Han, H., Wu, Y., Liu, J., Zhao, T., Zhuang, B., Wang, H., Li, Y., Chen, H., Zhu, Y., Liu, H., Wang, Q., Li, S., Wang, T., Xie, M., and Li, M.: Impacts of atmospheric transport and biomass burning on the inter-annual variation in black carbon aerosols over the Tibetan Plateau, Atmos. Chem. Phys., 20, 13591–13610, https://doi.org/10.5194/acp-20-13591-2020, 2020.
Heintzenberg, J.:
Arctic haze-air-pollution in polar-regions,
Ambio,
18, 50–55, 1989.
Hirdman, D., Burkhart, J. F., Sodemann, H., Eckhardt, S., Jefferson, A., Quinn, P. K., Sharma, S., Ström, J., and Stohl, A.: Long-term trends of black carbon and sulphate aerosol in the Arctic: changes in atmospheric transport and source region emissions, Atmos. Chem. Phys., 10, 9351–9368, https://doi.org/10.5194/acp-10-9351-2010, 2010.
Holben, B., Eck, T., Slutsker, I., Tanre, D., Buis, J., Setzer, A., Vermote, E., Reagan, J., Kaufman, Y., Nakajima, T., Lavenu, F., Jankowiak, I., and Smirnov, A.:
AERONET – A federated instrument network and data archive for aerosol characterization,
Remote Sens. Environ.,
66, 1–16, https://doi.org/10.1016/s0034-4257(98)00031-5, 1998.
Hsu, N., Tsay, S., King, M., and Herman, J.:
Aerosol properties over bright-reflecting source regions,
IEEE T. Geosci. Remote,
42, 557–569, https://doi.org/10.1109/tgrs.2004.824067, 2004.
Hsu, N., Jeong, M., Bettenhausen, C., Sayer, A., Hansell, R., Seftor, C., Huang, J., and Tsay, S.:
Enhanced Deep Blue aerosol retrieval algorithm: The second generation,
J. Geophys. Res.-Atmos.,
118, 9296–9315, https://doi.org/10.1002/jgrd.50712, 2013.
Hu, Z., Huang, J., Zhao, C., Jin, Q., Ma, Y., and Yang, B.: Modeling dust sources, transport, and radiative effects at different altitudes over the Tibetan Plateau, Atmos. Chem. Phys., 20, 1507–1529, https://doi.org/10.5194/acp-20-1507-2020, 2020.
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.
Hughes, M. and Cassano, J.:
The climatological distribution of extreme Arctic winds and implications for ocean and sea ice processes,
J. Geophys. Res.-Atmos.,
120, 7358–7377, https://doi.org/10.1002/2015jd023189, 2015.
Ito, T.:
Study of background aerosols in the Antarctic troposphere,
J. Atmos. Chem.,
3, 69–91, https://doi.org/10.1007/bf00049369, 1985.
Jarvis, A., Reuter, H. I., Nelson, A., and Guevara, E.: Hole-filled seamless SRTM data V4, International Centre for Tropical Agriculture (CIAT), available at: https://srtm.csi.cgiar.org (last access: 24 March 2021), 2008.
Jeong, S., Zhao, C., Andrews, A., Dlugokencky, E., Sweeney, C., Bianco, L., Wilczak, J., and Fischer, M.:
Seasonal variations in N2O emissions from central California,
Geophys. Res. Lett.,
39, L16805, https://doi.org/10.1029/2012gl052307, 2012.
Jia, R., Liu, Y., Chen, B., Zhang, Z., and Huang, J.:
Source and transportation of summer dust over the Tibetan Plateau,
Atmos. Environ.,
123, 210–219, https://doi.org/10.1016/j.atmosenv.2015.10.038, 2015.
Johnson, B.:
The semidirect aerosol effect: Comparison of a single-column model with large eddy simulation for marine stratocumulus,
J. Climate,
18, 119–130, https://doi.org/10.1175/jcli-3233.1, 2005.
Jung, C., Lee, J., Um, J., Lee, S., Yoon, Y., and Kim, Y.:
Estimation of Source-Based Aerosol Optical Properties for Polydisperse Aerosols from Receptor Models,
Appl. Sci.-Basel,
9, 1443, https://doi.org/10.3390/app9071443, 2019.
Kahn, R. and Gaitley, B.:
An analysis of global aerosol type as retrieved by MISR,
J. Geophys. Res.-Atmos.,
120, 4248–4281, https://doi.org/10.1002/2015jd023322, 2015.
Kaufman, Y., Tanre, D., Remer, L., Vermote, E., Chu, A., and Holben, B.:
Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer,
J. Geophys. Res.-Atmos.,
102, 17051–17067, https://doi.org/10.1029/96jd03988, 1997.
Kerminen, V., Teinila, K., and Hillamo, R.:
Chemistry of sea-salt particles in the summer Antarctic atmosphere,
Atmos. Environ.,
34, 2817–2825, https://doi.org/10.1016/s1352-2310(00)00089-3, 2000.
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.
Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T., Ghan, S. J., Iversen, T., Kirkevåg, A., Kokkola, H., Liu, X., Luo, G., van Noije, T., Pringle, K. J., von Salzen, K., Schulz, M., Seland, Ø., Skeie, R. B., Takemura, T., Tsigaridis, K., and Zhang, K.: What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2221–2241, https://doi.org/10.5194/acp-16-2221-2016, 2016.
Kittaka, C., Winker, D. M., Vaughan, M. A., Omar, A., and Remer, L. A.: Intercomparison of column aerosol optical depths from CALIPSO and MODIS-Aqua, Atmos. Meas. Tech., 4, 131–141, https://doi.org/10.5194/amt-4-131-2011, 2011.
Koponen, I., Virkkula, A., Hillamo, R., Kerminen, V., and Kulmala, M.:
Number size distributions and concentrations of the continental summer aerosols in Queen Maud Land, Antarctica,
J. Geophys. Res.-Atmos.,
108, 4587, https://doi.org/10.1029/2003jd003614, 2003.
Koren, I., Kaufman, Y., Remer, L., and Martins, J.:
Measurement of the effect of Amazon smoke on inhibition of cloud formation,
Science,
303, 1342–1345, https://doi.org/10.1126/science.1089424, 2004.
Kumar, M., Singh, R., Murari, V., Singh, A., Singh, R., and Banerjee, T.:
Fireworks induced particle pollution: A spatio-temporal analysis,
Atmos. Res.,
180, 78–91, https://doi.org/10.1016/j.atmosres.2016.05.014, 2016.
Leaitch, W., Sharma, S., Huang, L., Toom-Sauntry, D., Chivulescu, A., Macdonald, A., von Salzen, K., Pierce, J., Betram, A., Schroder, J., Shantz, N., Chang, R., and Norman, A.:
Dimethyl sulfide control of the clean summertime Arctic aerosol and cloud,
Elementa,
1, 000017, https://doi.org/10.12952/journal.elementa.000017, 2013.
Leaitch, W. R., Kodros, J. K., Willis, M. D., Hanna, S., Schulz, H., Andrews, E., Bozem, H., Burkart, J., Hoor, P., Kolonjari, F., Ogren, J. A., Sharma, S., Si, M., von Salzen, K., Bertram, A. K., Herber, A., Abbatt, J. P. D., and Pierce, J. R.: Vertical profiles of light absorption and scattering associated with black carbon particle fractions in the springtime Arctic above 79∘ N, Atmos. Chem. Phys., 20, 10545–10563, https://doi.org/10.5194/acp-20-10545-2020, 2020.
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.
Li, C., Bosch, C., Kang, S., Andersson, A., Chen, P., Zhang, Q., Cong, Z., Chen, B., Qin, D., and Gustafsson, Ö.:
Sources of black carbon to the Himalayan-Tibetan Plateau glaciers,
Nat. Commun.,
7, 12574, https://doi.org/10.1038/ncomms12574, 2016.
Li, F., Ginoux, P., and Ramaswamy, V.:
Distribution, transport, and deposition of mineral dust in the Southern Ocean and Antarctica: Contribution of major sources,
J. Geophys. Res.-Atmos.,
113, D10207, https://doi.org/10.1029/2007jd009190, 2008.
Liu, Y., Sato, Y., Jia, R., Xie, Y., Huang, J., and Nakajima, T.: Modeling study on the transport of summer dust and anthropogenic aerosols over the Tibetan Plateau, Atmos. Chem. Phys., 15, 12581–12594, https://doi.org/10.5194/acp-15-12581-2015, 2015.
Liu, Y., Hua, S., Jia, R., and Huang, J.:
Effect of aerosols on the ice cloud properties over the Tibetan Plateau,
J. Geophys. Res.-Atmos.,
124, 9594–9608, https://doi.org/10.1029/2019jd030463, 2019.
Liu, Y., Li, Y., Huang, J., Zhu, Q., and Wang, S.:
Attribution of the Tibetan Plateau to northern drought,
Natl. Sci. Rev.,
7, 489–492, https://doi.org/10.1093/nsr/nwz191, 2020a.
Liu, Y., Zhu, Q., Hua, S., Alam, K., Dai, T., and Cheng, Y.:
Tibetan Plateau driven impact of Taklimakan dust on northern rainfall,
Atmos. Environ.,
234, 117583, https://doi.org/10.1016/j.atmosenv.2020.117583, 2020b.
Loeb, N. and Su, W.:
Direct aerosol radiative forcing uncertainty based on a radiative perturbation analysis,
J. Climate,
23, 5288–5293, https://doi.org/10.1175/2010jcli3543.1, 2010.
Lu, L., Bian, L., and Zhang, Z.:
Climate change: Impact on the Arctic, Antarctic and Tibetan Plateau,
Advances in Polar Science,
22, 67–73, https://doi.org/10.3724/SP. J.1085.2011.00067, 2011.
Lu, Z., Streets, D., Zhang, Q., and Wang, S.:
A novel back-trajectory analysis of the origin of black carbon transported to the Himalayas and Tibetan Plateau during 1996–2010,
Geophys. Res. Lett.,
39, L01809, https://doi.org/10.1029/2011gl049903, 2012.
Lüthi, Z. L., Škerlak, B., Kim, S.-W., Lauer, A., Mues, A., Rupakheti, M., and Kang, S.: Atmospheric brown clouds reach the Tibetan Plateau by crossing the Himalayas, Atmos. Chem. Phys., 15, 6007–6021, https://doi.org/10.5194/acp-15-6007-2015, 2015.
Lyapustin, A., Wang, Y., Korkin, S., and Huang, D.: MODIS Collection 6 MAIAC algorithm, Atmos. Meas. Tech., 11, 5741–5765, https://doi.org/10.5194/amt-11-5741-2018, 2018.
Ma, F. and Guan, Z.:
Seasonal variations of aerosol optical depth over East China and India in relationship to the Asian Monsoon circulation,
J. Meteorol. Res.-PRC,
32, 648–660, https://doi.org/10.1007/s13351-018-7171-1, 2018.
Marey, H. S., Gille, J. C., El-Askary, H. M., Shalaby, E. A., and El-Raey, M. E.: Aerosol climatology over Nile Delta based on MODIS, MISR and OMI satellite data, Atmos. Chem. Phys., 11, 10637–10648, https://doi.org/10.5194/acp-11-10637-2011, 2011.
Martonchik, J., Diner, D., Kahn, R., Ackerman, T., Verstraete, M., Pinty, B., and Gordon, H. R.:
Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging,
IEEE T. Geosci. Remote,
36, 1212–1227, https://doi.org/10.1109/36.701027, 1998.
Martonchik, J., Diner, D., Kahn, R., Gaitley, B., and Holben, B.:
Comparison of MISR and AERONET aerosol optical depths over desert sites,
Geophys. Res. Lett.,
31, L16102, https://doi.org/10.1029/2004gl019807, 2004.
McConnell, J., Aristarain, A., Banta, J., Edwards, P., and Simoes, J.:
20th-Century doubling in dust archived in an Antarctic Peninsula ice core parallels climate change and desertification in South America,
P. Natl. Acad. Sci USA,
104, 5743–5748, https://doi.org/10.1073/pnas.0607657104, 2007.
McFarlane, S., Kassianov, E., Flynn, C., and Barnard, J.: Vertical profiles of aerosol extinction and radiative heating at Niamey, Niger, in: American Geophysical Union, Fall Meeting 2007, San Francisco, CA (USA), 2007-12-10 to 2007-12-14, abstract id. A41A-0013, 2007.
Mielonen, T., Arola, A., Komppula, M., Kukkonen, J., Koskinen, J., de Leeuw, G., and Lehtinen, K.:
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.
Mitchell, J.:
Visual range in the polar regions with particulate reference to the Alaskan Arctic,
J. Atmos. Terr. Phys.,
special supplement, 195–211, 1957.
Nabat, P., Somot, S., Mallet, M., Sevault, F., Chiacchio, M., and Wild, M.:
Direct and semi-direct aerosol radiative effect on the Mediterranean climate variability using a coupled regional climate system model,
Clim. Dynam.,
44, 1127–1155, https://doi.org/10.1007/s00382-014-2205-6, 2015.
NASA/LARC/SD/ASDC: CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard V4-20 [Data set], NASA Langley Atmospheric Science Data Center DAAC, available at: https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L3_ Tropospheric_APro_CloudFree-Standard-V4-20, 2019.
NOAA: GDAS – Daily Tar Files (1° by 1°), NCEI's NOAA National Operational Model Archive and Distribution System (NOMADS), available at: ftp://ftp.arl.noaa.gov/pub/archives/gdas1 (last access: 24 March 2021), 2016.
Nishizawa, T., Okamoto, H., Sugimoto, N., Matsui, I., Shimizu, A., and Aoki, K.:
An algorithm that retrieves aerosol properties from dual-wavelength polarized lidar measurements,
J. Geophys. Res.-Atmos.,
112, D06212, https://doi.org/10.1029/2006jd007435, 2007.
Omar, A., Won, J., Winker, D., Yoon, S., Dubovik, O., and McCormick, M.:
Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements,
J. Geophys. Res.-Atmos.,
110, D10S14, https://doi.org/10.1029/2004jd004874, 2005.
Peyridieu, S., Chédin, A., Tanré, D., Capelle, V., Pierangelo, C., Lamquin, N., and Armante, R.: Saharan dust infrared optical depth and altitude retrieved from AIRS: a focus over North Atlantic – comparison to MODIS and CALIPSO, Atmos. Chem. Phys., 10, 1953–1967, https://doi.org/10.5194/acp-10-1953-2010, 2010.
Pokharel, M., Guang, J., Liu, B., Kang, S., Ma, Y., Holben, B., Xia, X., Xin, J., Ram, K., Rupakheti, D., Wan, X., Wu, G., Bhattarai, H., Zhao, C., and Cong, Z.:
Aerosol properties over Tibetan Plateau from a decade of AERONET measurements: baseline, types, and influencing factors,
J. Geophys. Res.-Atmos.,
124, 13357–13374, https://doi.org/10.1029/2019jd031293, 2019.
Rap, A., Scott, C., Spracklen, D., Bellouin, N., Forster, P., Carslaw, K., Schmidt, A., and Mann, G.:
Natural aerosol direct and indirect radiative effects,
Geophys. Res. Lett.,
40, 3297–3301, https://doi.org/10.1002/grl.50441, 2013.
Quinn, P., Coffman, D., Kapustin, V., Bates, V., and Covert, D.:
Aerosol optical properties in the marine boundary layer during the First Aerosol Characterization Experiment (ACE 1) and the underlying chemical and physical aerosol properties,
J. Geophys. Res.-Atmos.,
103, 16547–16563, https://doi.org/10.1029/97JD02345, 1998.
Rahul, P., Sonbawne, S., and Devara, P.:
Unusual high values of aerosol optical depth evidenced in the Arctic during summer 2011,
Atmos. Environ.,
94, 606–615, https://doi.org/10.1016/j.atmosenv.2014.01.052, 2014.
Ravi, S., D'Odorico, P., Breshears, D., Field, J., Goudie, A., Huxman, T., Li, J., Okin, G., Swap, R., Thomas, A., Van Pelt, S., Whicker, J., and Zobeck, T.:
Aeolian process and the biosphere,
Rev. Geophys.,
49, RG3001, https://doi.org/10.1029/2010rg000328, 2011.
Righi, M., Klinger, C., Eyring, V., Hendricks, J., Lauer, A., and Petzold, A.:
Climate Impact of biofuels in shipping: global model studies of the aerosol indirect effect,
Environ. Sci. Technol.,
45, 3519–3525, https://doi.org/10.1021/es1036157, 2011.
Rousseau, D., Schevin, P., Duzer, D., Cambon, G., Ferrier, J., Jolly, D., and Poulsen, U.:
New evidence of long distance pollen transport to southern Greenland in late spring,
Rev. Palaeobot. Palyno.,
141, 277–286, https://doi.org/10.1016/j.revpalbo.2006.05.001, 2006.
Russell, P., Kacenelenbogen, M., Livingston, J., Hasekamp, O., Burton, S., Schuster, G., Johnson, M., Knobelspiesse, K., Redemann, J., Ramachandran, S., and Holben, B.:
A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry,
J. Geophys. Res.-Atmos.,
119, 9838–9863, https://doi.org/10.1002/2013jd021411, 2014.
Russell, P. B., Bergstrom, R. W., Shinozuka, Y., Clarke, A. D., DeCarlo, P. F., Jimenez, J. L., Livingston, J. M., Redemann, J., Dubovik, O., and Strawa, A.: Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition, Atmos. Chem. Phys., 10, 1155–1169, https://doi.org/10.5194/acp-10-1155-2010, 2010.
Schmeisser, L., Backman, J., Ogren, J. A., Andrews, E., Asmi, E., Starkweather, S., Uttal, T., Fiebig, M., Sharma, S., Eleftheriadis, K., Vratolis, S., Bergin, M., Tunved, P., and Jefferson, A.: Seasonality of aerosol optical properties in the Arctic, Atmos. Chem. Phys., 18, 11599–11622, https://doi.org/10.5194/acp-18-11599-2018, 2018.
Seinfeld, J., Bretherton, C., Carslaw, K., Coe, H., DeMott, P., Dunlea, E., Feingold, G., Ghan, S., Guenther, A., Kahn, R., Kraucunas, I., Kreidenweis, S., Molina, M. J., Nenes, A., Penner, J., Prather, K., Ramanathan, V., Ramaswamy, V., Rasch, P., Ravishankara, A., Rosenfeld, D., Stephens, G., and Wood, R.:
Improving our fundamental understanding of the role of aerosol–cloud interactions in the climate system,
P. Natl. Acad. Sci. USA,
113, 5781–5790, https://doi.org/10.1073/pnas.1514043113, 2016.
Sharma, S., Ishizawa, M., Chan, D., Lavoue, D., Andrews, E., Eleftheriadis, K., and Maksyutov, S.:
16-year simulation of Arctic black carbon: Transport, source contribution, and sensitivity analysis on deposition,
J. Geophys. Res.-Atmos.,
118, 943–964, https://doi.org/10.1029/2012jd017774, 2013.
Shimizu, A., Nishizawa, T., Jin, Y., Kim, S.-W., Wang, Z., Batdorj, D., and Sugimoto, N.:
Evolution of a lidar network for tropospheric aerosol detection in East Asia,
Opt. Eng.,
56, 031219, https://doi.org/10.1117/1.Oe.56.3.031219, 2017.
Soja, A., Cofer, W., Shugart, H., Sukhinin, A., Stackhouse, P., McRae, D., and Conard, S.:
Estimating fire emissions and disparities in boreal Siberia (1998–2002),
J. Geophys. Res.-Atmos.,
109, D14S06, https://doi.org/10.1029/2004jd004570, 2004.
Stein, A., Draxler, R., Rolph, G., Stunder, B., Cohen, M., and Ngan, F.:
NOAA'S HYSPLIT atmospheric transport and dispersion modeling system,
B. Am. Meteorol. Soc.,
96, 2059–2077, https://doi.org/10.1175/bams-d-14-00110.1, 2015.
Stohl, A., Andrews, E., Burkhart, J., Forster, C., Herber, A., Hoch, S., Kowal, D., Lunder, C., Mefford, T., Ogren, J. A., Sharma, S., Spichtinger, N., Stebel, K., Stone, R., Strom, J., Torseth, K., Wehrli, C., and Yttri, K. E.:
Pan-Arctic enhancements of light absorbing aerosol concentrations due to North American boreal forest fires during summer 2004,
J. Geophys. Res.-Atmos.,
111, D22214, https://doi.org/10.1029/2006jd007216, 2006.
Stone, R., Sharma, S., Herber, A., Eleftheriadis, K. and Nelson, D.:
A characterization of Arctic aerosols on the basis of aerosol optical depth and black carbon measurements,
Elementa,
2, p.000027, https://doi.org/10.12952/journal.elementa.000027, 2014.
Sun, T., Che, H., Qi, B., Wang, Y., Dong, Y., Xia, X., Wang, H., Gui, K., Zheng, Y., Zhao, H., Ma, Q., Du, R., and Zhang, X.: Aerosol optical characteristics and their vertical distributions under enhanced haze pollution events: effect of the regional transport of different aerosol types over eastern China, Atmos. Chem. Phys., 18, 2949–2971, https://doi.org/10.5194/acp-18-2949-2018, 2018.
Tackett, J. L., Winker, D. M., Getzewich, B. J., Vaughan, M. A., Young, S. A., and Kar, J.: CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design, Atmos. Meas. Tech., 11, 4129–4152, https://doi.org/10.5194/amt-11-4129-2018, 2018.
Tanre, D., Deschamps, P. Y., Devaux, C., and Herman, M.:
Estimation of Saharan aerosol optical thickness from blurring effects in thematic mapper data,
J. Geophys. Res.-Atmos.,
93, 15955–15964, https://doi.org/10.1029/JD093iD12p15955, 1988.
Tao, S., Wang, W., Liu, W., Zuo, Q., Wang, X., Wang, R., Wang, B., Shen, G., Yang, Y., and He, J.:
Polycyclic aromatic hydrocarbons and organochlorine pesticides in surface soils from the Qinghai-Tibetan plateau,
J. Environ. Monitor.,
13, 175–181, https://doi.org/10.1039/c0em00298d, 2011.
Teinilä, K., Frey, A., Hillamo, R., Tuelp, H. C., and Weller, R.:
A study of the sea-salt chemistry using size-segregated aerosol measurements at coastal Antarctic station Neumayer,
Atmos. Environ.,
96, 11–19, https://doi.org/10.1016/j.atmosenv.2014.07.025, 2014.
Tomasi, C., Kokhanovsky, A., Lupi, A., Ritter, C., Smirnov, A., O'Neill, N., Stone, R., Holben, B., Nyeki, S., Wehrli, C., Stohl, A., Mazzola, M., Lanconelli, C., Vitale, V., Stebel, K., Aaltonen, V., de Leeuw, G., Rodriguez, E., Herber, A., Radionov, V., Zielinski, T., Petelski, T., Sakerin, S., Kabanov, D., Xue, Y., Mei, L., Istomina, L., Wagener, R., McArthur, B., Sobolewski, P., Kivi, R., Courcoux, Y., Larouche, P., Broccardo, S., and Piketh, S.:
Aerosol remote sensing in polar regions,
Earth-Sci. Rev.,
140, 108–157, https://doi.org/10.1016/j.earscirev.2014.11.001, 2015.
Tomasi, C., Vitale, V., Lupi, A., Di Carmine, C., Campanelli, M., Herber, A., Treffeisen, R., Stone, R., Andrews, E., Sharma, S., Radionov, V., von Hoyningen-Huene, W., Stebel, K., Hansen, G., Myhre, C., Wehrli, C., Aaltonen, V., Lihavainen, H., Virkkula, A., Hillamo, R., Stroem, J., Toledano, C., Cachorro, V., Ortiz, P., de Frutos, A., Blindheim, S., Frioud, M., Gausa, M., Zielinski, T., Petelski, T., and Yamanouchi, T.:
Aerosols in polar regions: A historical overview based on optical depth and in situ observations,
J. Geophys. Res.-Atmos.,
112, D16205, https://doi.org/10.1029/2007jd008432, 2007.
Torres, O., Tanskanen, A., Veihelmann, B., Ahn, C., Braak, R., Bhartia, P., Veefkind, P., and Levelt, P.:
Aerosols and surface UV products from Ozone Monitoring Instrument observations: An overview,
J. Geophys. Res.-Atmos.,
112, D24S47, https://doi.org/10.1029/2007JD008809, 2007.
Twomey, S.:
Influence of pollution on shortwave albedo of clouds,
J. Atmos. Sci.,
34, 1149–1152, https://doi.org/10.1175/1520-0469(1977)034<1149:Tiopot>2.0.Co;2, 1977.
VanCuren, R., Cahill, T., Burkhart, J., Barnes, D., Zhao, Y., Perry, K., Cliff, S., and McConnell, J.:
Aerosols and their sources at Summit Greenland - First results of continuous size- and time-resolved sampling,
Atmos. Environ.,
52, 82–97, https://doi.org/10.1016/j.atmosenv.2011.10.047, 2012.
Varnai, T. and Marshak, A.:
Global CALIPSO Observations of Aerosol Changes Near Clouds,
IEEE Geosci. Remote S.,
8, 19–23, https://doi.org/10.1109/lgrs.2010.2049982, 2011.
Vernon, C. J., Bolt, R., Canty, T., and Kahn, R. A.: The impact of MISR-derived injection height initialization on wildfire and volcanic plume dispersion in the HYSPLIT model, Atmos. Meas. Tech., 11, 6289–6307, https://doi.org/10.5194/amt-11-6289-2018, 2018.
Virkkula, A., Teinilä, K., Hillamo, R., Kerminen, V.-M., Saarikoski, S., Aurela, M., Viidanoja, J., Paatero, J., Koponen, I. K., and Kulmala, M.: Chemical composition of boundary layer aerosol over the Atlantic Ocean and at an Antarctic site, Atmos. Chem. Phys., 6, 3407–3421, https://doi.org/10.5194/acp-6-3407-2006, 2006.
Wagenbach, D., Ducroz, F., Mulvaney, R., Keck, L., Minikin, A., Legrand, M., Hall, J., and Wolff, E.:
Sea-salt aerosol in coastal Antarctic regions,
J. Geophys. Res.-Atmos.,
103, 10961–10974, https://doi.org/10.1029/97jd01804, 1998.
Wang, Y., Jiang, J., Su, H., Choi, Y., Huang, L., Guo, J., and Yung, Y.:
Elucidating the Role of Anthropogenic Aerosols in Arctic Sea Ice Variations,
J. Climate,
31, 99–114, https://doi.org/10.1175/jcli-d-17-0287.1, 2018.
Warneke, C., Froyd, K., Brioude, J., Bahreini, R., Brock, C., Cozic, J., de Gouw, J., Fahey, D., Ferrare, R., Holloway, J., Middlebrook, A., Miller, L., Montzka, S., Schwarz, J., Sodemann, H., Spackman, J., and Stohl, A.:
An important contribution to springtime Arctic aerosol from biomass burning in Russia,
Geophys. Res. Lett.,
37, L01801, https://doi.org/10.1029/2009gl041816, 2010.
Wei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M.:
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications,
Remote Sens. Environ.,
252, 112136, https://doi.org/10.1016/j.rse.2020.112136, 2021.
Weller, R., Minikin, A., Petzold, A., Wagenbach, D., and König-Langlo, G.: Characterization of long-term and seasonal variations of black carbon (BC) concentrations at Neumayer, Antarctica, Atmos. Chem. Phys., 13, 1579–1590, https://doi.org/10.5194/acp-13-1579-2013, 2013.
Winker, D., Hunt, W., and McGill, M.:
Initial performance assessment of CALIOP,
Geophys. Res. Lett.,
34, L19803, https://doi.org/10.1029/2007gl030135, 2007.
Winker, D., Pelon, J., Coakley Jr, J., Ackerman, S., Charlson, R., Colarco, P., Flamant, P., Fu, Q., Hoff, R., Kittaka, C., Kubar, T., Le Treut, H., McCormick, M., Megie, G., Poole, L., Powell, K., Trepte, C., Vaughan, M., and Wielicki, B.:
The CALIPSO mission a global 3D View of Aerosols and Clouds,
B. 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, G., Wan, X., Gao, S., Fu, P., Yin, Y., Li, G., Zhang, G., Kang, S., Ram, K., and Cong, Z.:
Humic-Like Substances (HULIS) in Aerosols of Central Tibetan Plateau (Nam Co, 4730 m asl): Abundance, Light Absorption Properties, and Sources,
Environ. Sci. Technol.,
52, 7203–7211, https://doi.org/10.1021/acs.est.8b01251, 2018.
Xia, X., Wang, P., Wang, Y., Li, Z., Xin, J., Liu, J., and Chen, H.:
Aerosol optical depth over the Tibetan Plateau and its relation to aerosols over the Taklimakan Desert,
Geophys. Res. Lett.,
35, L16804, https://doi.org/10.1029/2008gl034981, 2008.
Xia, X., Zong, X., Cong, Z., Chen, H., Kang, S., and Wang, P.:
Baseline continental aerosol over the central Tibetan plateau and a case study of aerosol transport from South Asia,
Atmos. Environ.,
45, 7370–7378, https://doi.org/10.1016/j.atmosenv.2011.07.067, 2011.
Xia, X., Che, H., Shi, H., Chen, H., Zhang, X., Wang, P., Goloub, P., and Holben, B.:
Advances in sunphotometer-measured aerosol optical properties and related topics in China: Impetus and perspectives,
Atmos. Res.,
249, 105286, https://doi.org/10.1016/j.atmosres.2020.105286, 2021.
Xing, J., Wang, J., Mathur, R., Wang, S., Sarwar, G., Pleim, J., Hogrefe, C., Zhang, Y., Jiang, J., Wong, D. C., and Hao, J.: Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates, Atmos. Chem. Phys., 17, 9869–9883, https://doi.org/10.5194/acp-17-9869-2017, 2017.
Xu, C., Ma, Y. M., Panday, A., Cong, Z. Y., Yang, K., Zhu, Z. K., Wang, J. M., Amatya, P. M., and Zhao, L.: Similarities and differences of aerosol optical properties between southern and northern sides of the Himalayas, Atmos. Chem. Phys., 14, 3133–3149, https://doi.org/10.5194/acp-14-3133-2014, 2014.
Xu, C., Ma, Y. M., You, C., and Zhu, Z. K.: The regional distribution characteristics of aerosol optical depth over the Tibetan Plateau, Atmos. Chem. Phys., 15, 12065–12078, https://doi.org/10.5194/acp-15-12065-2015, 2015.
Xu, X., Wu, H., Yang, X., and Xie, L.:
Distribution and transport characteristics of dust aerosol over Tibetan Plateau and Taklimakan Desert in China using MERRA-2 and CALIPSO data,
Atmos. Environ.,
237, 117670, https://doi.org/10.1016/j.atmosenv.2020.117670, 2020.
Xue, W., Zhang, J., Zhong, C., Ji, D., and Huang, W.:
Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China, Science of the Total Environment,
712, 134577, https://doi.org/10.1016/j.scitotenv.2019.134577, 2020.
Yang, Y., Zhao, C., Sun, L., and Wei, J.:
Improved Aerosol Retrievals Over Complex Regions Using NPP Visible Infrared Imaging Radiometer Suite Observations,
Earth and Space Science,
6, 629–645, https://doi.org/10.1029/2019ea000574, 2019.
Zeng, S., Omar, A., Vaughan, M., Ortiz, M., Trepte, C., Tackett, J., Yagle, J., Lucker, P., Hu, Y., Winker, D., Rodier, S., and Getzewich, B.:
Identifying Aerosol Subtypes from CALIPSO Lidar Profiles Using Deep Machine Learning,
Atmosphere,
12, 10, https://doi.org/10.3390/atmos12010010, 2021.
Zhao, C. and Garrett, T.:
Effects of Arctic haze on surface cloud radiative forcing,
Geophys. Res. Lett.,
42, 557–564, https://doi.org/10.1002/2014gl062015, 2015.
Zhao, C., Andrews, A., Bianco, L., Eluszkiewicz, J., Hirsch, A., MacDonald, C., Nehrkorn, T., and Fischer, M.:
Atmospheric inverse estimates of methane emissions from Central California,
J. Geophys. Res.-Atmos.,
114, D16302, https://doi.org/10.1029/2008jd011671, 2009.
Zhao, C., Yang, Y., Fan, H., Huang, J., Fu, Y., Zhang, X., Kang, S., Cong, Z., Letu, H., and Menenti, M.:
Aerosol characteristics and impacts on weather and climate over the Tibetan Plateau,
Natl. Sci. Rev.,
7, 492–495, https://doi.org/10.1093/nsr/nwz184, 2020.
Zhao, Z., Cao, J., Shen, Z., Xu, B., Zhu, C., Chen, L. W. A., Su, X., Liu, S., Han, Y., Wang, G., and Ho, K.:
Aerosol particles at a high-altitude site on the Southeast Tibetan Plateau, China: Implications for pollution transport from South Asia,
J. Geophys. Res.-Atmos.,
118, 11360–311375, https://doi.org/10.1002/jgrd.50599, 2013.
Zhu, J., Xia, X., Che, H., Wang, J., Cong, Z., Zhao, T., Kang, S., Zhang, X., Yu, X., and Zhang, Y.: Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China, Atmos. Chem. Phys., 19, 14637–14656, https://doi.org/10.5194/acp-19-14637-2019, 2019.
Zou, X., Hou, S., Liu, K., Yu, J., Zhang, W., Pang, H., Hua, R., and Mayewski, P.:
Uranium record from a 3 m snow pit at Dome Argus, East Antarctica,
Plos One,
13, https://doi.org/10.1371/journal.pone.0206598, 2018.
Short summary
The occurrence frequency of different aerosol types and aerosol optical depth over the Arctic, Antarctic and Tibetan Plateau (TP) show distinctive spatiotemporal differences. The aerosol extinction coefficient in the Arctic and TP has a broad vertical distribution, while that of the Antarctic has obvious seasonal differences. Compared with the Antarctic, the Arctic and TP are vulnerable to surrounding pollutants, and the source of air masses has obvious seasonal variations.
The occurrence frequency of different aerosol types and aerosol optical depth over the Arctic,...
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