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Sato Y, Goto D, Michibata T, et al. Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model. Nat Commun. 2018;9(1):985doi: 10.1038/s41467-018-03379-6.
Sato, Y., Goto, D., Michibata, T., Suzuki, K., Takemura, T., Tomita, H., & Nakajima, T. (2018). Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model. Nature communications, 9(1), 985. https://doi.org/10.1038/s41467-018-03379-6
Sato, Yousuke, et al. "Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model." Nature communications vol. 9,1 (2018): 985. doi: https://doi.org/10.1038/s41467-018-03379-6
Sato Y, Goto D, Michibata T, Suzuki K, Takemura T, Tomita H, Nakajima T. Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model. Nat Commun. 2018 Mar 07;9(1):985. doi: 10.1038/s41467-018-03379-6. PMID: 29515125; PMCID: PMC5841301.
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Nat Commun. 2018 Mar 07;9(1):985. doi: 10.1038/s41467-018-03379-6.

Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model.

Nature communications

Yousuke Sato, Daisuke Goto, Takuro Michibata, Kentaroh Suzuki, Toshihiko Takemura, Hirofumi Tomita, Teruyuki Nakajima

Affiliations

  1. Department of Applied Energy, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, 464-8603, Japan. [email protected].
  2. RIKEN Advanced Institute for Computational Science, 7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo, 650-0047, Japan. [email protected].
  3. National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, Ibaraki, 305-8506, Japan.
  4. Research Institute for Applied Mechanics, Kyushu University, 6-1, Kasugakoen, Kasuga, Fukuoka, 816-8580, Japan.
  5. Atmosphere and Ocean Research Institute, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa, Chiba, 277-8568, Japan.
  6. RIKEN Advanced Institute for Computational Science, 7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo, 650-0047, Japan.
  7. Earth Observation Research Center, Japan Aerospace Exploration Agency, 2-1-1, Sengen, Tsukuba, Ibaraki, 305-8505, Japan.

PMID: 29515125 PMCID: PMC5841301 DOI: 10.1038/s41467-018-03379-6

Abstract

Aerosols affect climate by modifying cloud properties through their role as cloud condensation nuclei or ice nuclei, called aerosol-cloud interactions. In most global climate models (GCMs), the aerosol-cloud interactions are represented by empirical parameterisations, in which the mass of cloud liquid water (LWP) is assumed to increase monotonically with increasing aerosol loading. Recent satellite observations, however, have yielded contradictory results: LWP can decrease with increasing aerosol loading. This difference implies that GCMs overestimate the aerosol effect, but the reasons for the difference are not obvious. Here, we reproduce satellite-observed LWP responses using a global simulation with explicit representations of cloud microphysics, instead of the parameterisations. Our analyses reveal that the decrease in LWP originates from the response of evaporation and condensation processes to aerosol perturbations, which are not represented in GCMs. The explicit representation of cloud microphysics in global scale modelling reduces the uncertainty of climate prediction.

References

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