The DOI matches its Crossref record; 142 of the 142 references it cites were found in a registry or an index.
East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIRCPC)
Open accessAbstract
Aerosols have significant and complex impacts on regional climate in East Asia. Cloud‐aerosol‐precipitation interactions (CAPI) remain most challenging in climate studies. The quantitative understanding of CAPI requires good knowledge of aerosols, ranging from their formation, composition, transport, and their radiative, hygroscopic, and microphysical properties. A comprehensive review is presented here centered on the CAPI based chiefly, but not limited to, publications in the special section named EAST‐AIRcpc concerning (1) observations of aerosol loading and properties, (2) relationships between aerosols and meteorological variables affecting CAPI, (3) mechanisms behind CAPI, and (4) quantification of CAPI and their impact on climate. Heavy aerosol loading in East Asia has significant radiative effects by reducing surface radiation, increasing the air temperature, and lowering the boundary layer height. A key factor is aerosol absorption, which is particularly strong in central China. This absorption can have a wide range of impacts such as creating an imbalance of aerosol radiative forcing at the top and bottom of the atmosphere, leading to inconsistent retrievals of cloud variables from space‐borne and ground‐based instruments. Aerosol radiative forcing can delay or suppress the initiation and development of convective clouds whose microphysics can be further altered by the microphysical effect of aerosols. For the same cloud thickness, the likelihood of precipitation is influenced by aerosols: suppressing light rain and enhancing heavy rain, delaying but intensifying thunderstorms, and reducing the onset of isolated showers in most parts of China. Rainfall has become more inhomogeneous and more extreme in the heavily polluted urban regions.
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Brook, R. D., Rajagopalan, S., Pope, C. A., Brook, J. R., Bhatnagar, A., Diez-Roux, A. V., Holguin, F., Hong, Y., Luepker, R. V., Mittleman, M. A., et al. (2010) · Circulation · doi:10.1161/cir.0b013e3181dbece1 · Cited by 6,548
The MODIS Aerosol Algorithm, Products, and Validation
Remer, L. A., Kaufman, Y. J., Tanré, D., Mattoo, S., Chu, D. A., Martins, J. V., Li, R.-R., Ichoku, C., Levy, R. C., Kleidman, R. G., et al. (2005) · Journal of the Atmospheric Sciences · doi:10.1175/jas3385.1 · Cited by 3,122
Flood or Drought: How Do Aerosols Affect Precipitation?
Rosenfeld, D., Lohmann, U., Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi, S., Reissell, A., & Andreae, M. O. (2008) · Science · doi:10.1126/science.1160606 · Cited by 2,188
Self-citationClimate Effects of Black Carbon Aerosols in China and India
Menon, S., Hansen, J., Nazarenko, L., & Luo, Y. (2002) · Science · doi:10.1126/science.1075159 · Cited by 2,124
Elucidating severe urban haze formation in China
Guo, S., Hu, M., Zamora, M. L., Peng, J., Shang, D., Zheng, J., Du, Z., Wu, Z., Shao, M., Zeng, L., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419604111 · Cited by 1,711
Persistent sulfate formation from London Fog to Chinese haze
Wang, G., Zhang, R., Gomez, M. E., Yang, L., Levy Zamora, M., Hu, M., Lin, Y., Peng, J., Guo, S., Meng, J., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1616540113 · Cited by 1,484
Self-citationFormation of Urban Fine Particulate Matter
Zhang, R., Wang, G., Guo, S., Zamora, M. L., Ying, Q., Lin, Y., Wang, W., Hu, M., & Wang, Y. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00067 · Cited by 1,426
Self-citationAnthropogenic emission inventories in China: a review
Li, M., Liu, H., Geng, G., Hong, C., Liu, F., Song, Y., Tong, D., Zheng, B., Cui, H., Man, H., et al. (2017) · National Science Review · doi:10.1093/nsr/nwx150 · Cited by 1,304
Cited by
Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China
Le, T., Wang, Y., Liu, L., Yang, J., Yung, Y. L., Li, G., & Seinfeld, J. H. (2020) · Science · doi:10.1126/science.abb7431 · Cited by 931
Self-citationOpportunistic experiments to constrain aerosol effective radiative forcing
Christensen, M. W., Gettelman, A., Cermak, J., Dagan, G., Diamond, M., Douglas, A., Feingold, G., Glassmeier, F., Goren, T., Grosvenor, D. P., et al. (2022) · Atmospheric Chemistry and Physics · doi:10.5194/acp-22-641-2022 · Cited by 138
Self-citation(2020) · doi:10.1029/2020gl088363 · Cited by 32
Metadata
- Authors
- Li, Z., Wang, Y., Guo, J., Zhao, C., Cribb, M. C., Dong, X., Fan, J., Gong, D., Huang, J., Jiang, M., Jiang, Y., Lee, S. ‐., Li, H., Li, J., Liu, J., Qian, Y., Rosenfeld, D., Shan, S., Sun, Y., Wang, H., Xin, J., Yan, X., Yang, X., Yang, X., Zhang, F., & Zheng, Y.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2019-12-05
- Volume
- 124
- Issue
- 23
- Pages
- 13026-13054
- ISSN
- 0148-0227 (ISSN-L)
- 2169-897X
- 2169-8996
- OpenAlex
- W2982150552
- Cited by
- 316
- References
- 142
- FWCI
- 23.33
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- The paper
- Li, Z., Wang, Y., Guo, J., Zhao, C., Cribb, M. C., Dong, X., Fan, J., Gong, D., Huang, J., Jiang, M., Jiang, Y., Lee, S. ‐., Li, H., Li, J., Liu, J., Qian, Y., Rosenfeld, D., Shan, S., Sun, Y., . . . Zheng, Y. (2019). East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIRCPC). Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2019jd030758
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