Back to Search Start Over

Climate Models Underestimate Dynamic Cloud Feedbacks in the Tropics

Authors :
P. G. Hill
C. E. Holloway
M. P. Byrne
F. H. Lambert
M. J. Webb
Source :
Geophysical Research Letters, Vol 50, Iss 15, Pp n/a-n/a (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract Cloud feedbacks are the leading cause of uncertainty in climate sensitivity. The complex coupling between clouds and the large‐scale circulation in the tropics contributes to this uncertainty. To address this problem, the coupling between clouds and circulation in the latest generation of climate models is compared to observations. Significant biases are identified in the models. The implications of these biases are assessed by combining observations of the present day with future changes predicted by models to calculate observationally constrained feedbacks. For the dynamic cloud feedback (i.e., due to changes in circulation), the observationally constrained values are consistently larger than the model‐only values. This is due to models failing to capture a nonlinear minimum in cloud brightness for weakly descending regimes. Consequently, while the models consistently predict that these regimes increase in frequency in association with a weakening tropical circulation, they underestimate the positive cloud feedback associated with this increase.

Details

Language :
English
ISSN :
19448007 and 00948276
Volume :
50
Issue :
15
Database :
Directory of Open Access Journals
Journal :
Geophysical Research Letters
Publication Type :
Academic Journal
Accession number :
edsdoj.fc9312b976cd4514b2b6412a54d0ad15
Document Type :
article
Full Text :
https://doi.org/10.1029/2023GL104573