Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes.
Journal
Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440
Informations de publication
Date de publication:
May 2020
May 2020
Historique:
received:
26
09
2019
accepted:
30
03
2020
entrez:
12
6
2020
pubmed:
12
6
2020
medline:
12
6
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 32523991
doi: 10.1126/sciadv.aaz6433
pii: aaz6433
pmc: PMC7259935
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
eaaz6433Informations de copyright
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).
Références
J Adv Model Earth Syst. 2018 Apr;10(4):971-988
pubmed: 29861837
Nat Commun. 2018 Jul 6;9(1):2640
pubmed: 29980669
Proc Natl Acad Sci U S A. 2016 May 24;113(21):5820-7
pubmed: 26848136
Science. 1989 Sep 15;245(4923):1227-30
pubmed: 17747885
Science. 1950 Jan 13;111(2872):23-9
pubmed: 15398815
Nature. 2017 Jun 22;546(7659):485-491
pubmed: 28640263
Nature. 2019 Aug;572(7767):51-55
pubmed: 31367029
Science. 2016 Apr 8;352(6282):224-7
pubmed: 27124459
Nature. 2009 Oct 1;461(7264):607-13
pubmed: 19794487
Proc Natl Acad Sci U S A. 2017 May 9;114(19):4899-4904
pubmed: 28446614
Nature. 2004 Dec 23;432(7020):1014-7
pubmed: 15616559