Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes.

Science Advances
Johannes MülmenstädtJohannes Quaas

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.

References

Jan 13, 1950·Science·L VON BERTALANFFY
Oct 2, 2009·Nature·Bjorn Stevens, Graham Feingold
Feb 6, 2016·Proceedings of the National Academy of Sciences of the United States of America·Lindsay A LeeKenneth S Carslaw
Apr 28, 2017·Proceedings of the National Academy of Sciences of the United States of America·Edward GryspeerdtKai Zhang
Jun 24, 2017·Nature·Florent F MalavelleThorvaldur Thordarson
Aug 2, 2019·Nature·Velle TollNicolas Bellouin
Aug 1, 2020·Reviews of Geophysics·N BellouinB Stevens
Nov 19, 2020·Atmospheric Chemistry and Physics·Edward GryspeerdtKai Zhang

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Software Mentioned

HAMMOZ
ECHAM
ERA
Interim
PRECIP
COSP
Cloud Feedback Model Intercomparison Project ( ) Observational...

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