The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system
Open accessAbstract
The effect of an increase in atmospheric aerosol concentrations on the distribution and radiative properties of Earth’s clouds is the most uncertain component of the overall global radiative forcing from preindustrial time. General circulation models (GCMs) are the tool for predicting future climate, but the treatment of aerosols, clouds, and aerosol−cloud radiative effects carries large uncertainties that directly affect GCM predictions, such as climate sensitivity. Predictions are hampered by the large range of scales of interaction between various components that need to be captured. Observation systems (remote sensing, in situ) are increasingly being used to constrain predictions, but significant challenges exist, to some extent because of the large range of scales and the fact that the various measuring systems tend to address different scales. Fine-scale models represent clouds, aerosols, and aerosol−cloud interactions with high fidelity but do not include interactions with the larger scale and are therefore limited from a climatic point of view. We suggest strategies for improving estimates of aerosol−cloud relationships in climate models, for new remote sensing and in situ measurements, and for quantifying and reducing model uncertainty.
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Citations
Cites
Aerosols, Cloud Microphysics, and Fractional Cloudiness
Albrecht, B. A. (1989) · Science · doi:10.1126/science.245.4923.1227 · Cited by 4,422
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Predicting global atmospheric ice nuclei distributions and their impacts on climate
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Self-citationIce nucleation by particles immersed in supercooled cloud droplets
Murray, B. J., O'Sullivan, D., Atkinson, J. D., & Webb, M. E. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35200a · Cited by 1,341
Hoose, C., & Möhler, O. (2012) · Atmospheric Chemistry and Physics · doi:10.5194/acp-12-9817-2012 · Cited by 1,227
Untangling aerosol effects on clouds and precipitation in a buffered system
Stevens, B., & Feingold, G. (2009) · Nature · doi:10.1038/nature08281 · Cited by 1,180
Self-citationLarge contribution of natural aerosols to uncertainty in indirect forcing
Carslaw, K. S., Lee, L. A., Reddington, C. L., Pringle, K. J., Rap, A., Forster, P. M., Mann, G. W., Spracklen, D. V., Woodhouse, M. T., Regayre, L. A., et al. (2013) · Nature · doi:10.1038/nature12674 · Cited by 1,115
Self-citationAnthropogenic Aerosols and the Weakening of the South Asian Summer Monsoon
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Self-citation
Cited by
Bounding Global Aerosol Radiative Forcing of Climate Change
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson‐Parris, D., Boucher, O., Carslaw, K. S., Christensen, M., Daniau, A. ‐., et al. (2020) · Reviews of Geophysics · doi:10.1029/2019rg000660 · Cited by 1,116
“…measurements, laboratory studies, and150 modeling from microphysical to global scales (e.g. S. J. Ghan & Schwartz, 2007; Kul-151 mala et al., 2011; Seinfeld et al., 2016).152 –3– [INSERT TABLE 1 HERE]153 In spring 2018, under the auspices of the World Climate Research Programme’s Grand154 Science…”
MethodSelf-citationScattering and absorbing aerosols in the climate system
Li, J., Carlson, B. E., Yung, Y. L., Lv, D., Hansen, J., Penner, J. E., Liao, H., Ramaswamy, V., Kahn, R. A., Zhang, P., et al. (2022) · Nature Reviews Earth & Environment · doi:10.1038/s43017-022-00296-7 · Cited by 561
Self-citationAerosols in the Pre-industrial Atmosphere
Carslaw, K. S., Gordon, H., Hamilton, D. S., Johnson, J. S., Regayre, L. A., Yoshioka, M., & Pringle, K. J. (2017) · Current Climate Change Reports · doi:10.1007/s40641-017-0061-2 · Cited by 129
Self-citationGlobal reduction in ship-tracks from sulfur regulations for shipping fuel
Yuan, T., Song, H., Wood, R., Wang, C., Oreopoulos, L., Platnick, S. E., von Hippel, S., Meyer, K., Light, S., & Wilcox, E. (2022) · Science Advances · doi:10.1126/sciadv.abn7988 · Cited by 76
Self-citationSeasonal characteristics of PM1, PM2.5, and PM10 over Varanasi during 2019–2020
Chauhan, P. K., Kumar, A., Pratap, V., & Singh, A. K. (2022) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2022.909351 · Cited by 45
Metadata
- Authors
- Seinfeld, J. H., Bretherton, C., Carslaw, K. S., Coe, H., DeMott, P. J., Dunlea, E. J., Feingold, G., Ghan, S., Guenther, A. B., Kahn, R., Kraucunas, I., Kreidenweis, S. M., Molina, M. J., Nenes, A., Penner, J. E., Prather, K. A., Ramanathan, V., Ramaswamy, V., Rasch, P. J., Ravishankara, A. R., Rosenfeld, D., Stephens, G., & Wood, R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2016-05-24
- Volume
- 113
- Issue
- 21
- Pages
- 5781-5790
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2405493398
- Cited by
- 940
- References
- 72
- FWCI
- 37.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Seinfeld, J. H., Bretherton, C., Carslaw, K. S., Coe, H., DeMott, P. J., Dunlea, E. J., Feingold, G., Ghan, S., Guenther, A. B., Kahn, R., Kraucunas, I., Kreidenweis, S. M., Molina, M. J., Nenes, A., Penner, J. E., Prather, K. A., Ramanathan, V., Ramaswamy, V., Rasch, P. J., . . . Wood, R. (2016). Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1514043113
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
