Journal article
Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes
- Abstract:
- Global climate models (GCMs) disagree with other lines of evidence on the rapid adjustments of cloud cover and liquid water path to anthropogenic aerosols. Attempts to use observations to constrain the parameterizations of cloud processes in GCMs have failed to reduce the disagreement. We propose using observations sensitive to the relevant cloud processes rather than only to the atmospheric state and focusing on process realism in the absence of aerosol perturbations in addition to the process susceptibility to aerosols. We show that process-sensitive observations of precipitation can reduce the uncertainty on GCM estimates of rapid cloud adjustments to aerosols. The feasibility of an observational constraint depends on understanding the precipitation intensity spectrum in both observations and models and also on improving methods to compare the two.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.4MB, Terms of use)
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- Publisher copy:
- 10.1126/sciadv.aaz6433
Authors
- Publisher:
- American Association for the Advancement of Science
- Journal:
- Science Advances More from this journal
- Volume:
- 6
- Issue:
- 22
- Article number:
- eaaz6433
- Publication date:
- 2020-05-29
- Acceptance date:
- 2020-03-30
- DOI:
- EISSN:
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2375-2548
- Language:
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English
- Keywords:
- Pubs id:
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1092404
- Local pid:
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pubs:1092404
- Deposit date:
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2020-06-02
- ARK identifier:
Terms of use
- Copyright holder:
- Mülmenstädt et al.
- Copyright date:
- 2020
- Rights statement:
- Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
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