Underestimated marine stratocumulus cloud feedback associated with overly active deep convection in models

Abstract Cloud feedback remains the largest source of uncertainty in equilibrium climate sensitivity (ECS). Many studies have attempted to narrow uncertainties in cloud feedback and ECS by proposing observable metrics with high skill at predicting future climate, referred to as emergent constraints....

Full description

Saved in:
Bibliographic Details
Published in:Environmental research letters Vol. 16; no. 7; pp. 74015 - 74022
Main Authors: Hirota, N, Ogura, T, Shiogama, H, Caldwell, P, Watanabe, M, Kamae, Y, Suzuki, K
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01-07-2021
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Cloud feedback remains the largest source of uncertainty in equilibrium climate sensitivity (ECS). Many studies have attempted to narrow uncertainties in cloud feedback and ECS by proposing observable metrics with high skill at predicting future climate, referred to as emergent constraints. These constraints are often associated with clouds, convection, and circulation, and are interrelated. However, physical explanations for these connections remain unclear. Here, we propose a new mechanism relating convection and clouds across multiple climate models. Some models show overly active deep convection on daily timescales in the subtropical low cloud regions, which contributes to weaker subsidence inversion and smaller amounts of low-level clouds. Such models predict smaller shortwave (SW) cloud feedback. Using precipitation frequency in these regions as an emergent constraint, encapsulating this mechanism, models with lower SW cloud feedback (<0.50 W m −2 °C −1 ) are found to exhibit erroneously frequent convection. Our results suggest that further improvements in understanding and better modeling of cloud and convective systems are necessary for accurate climate predictions.
Bibliography:ERL-110191.R2
AC52-07NA27344
LLNL-JRNL-829528
USDOE National Nuclear Security Administration (NNSA)
ISSN:1748-9326
1748-9326
DOI:10.1088/1748-9326/abfb9e