Influence of cloud phase composition on climate feedbacks

被引:45
作者
Choi, Yong-Sang [1 ]
Ho, Chang-Hoi [2 ]
Park, Chang-Eui [2 ]
Storelvmo, Trude [3 ]
Tan, Ivy [3 ]
机构
[1] Ewha Womans Univ, Dept Environm Sci & Engn, Seoul, South Korea
[2] Seoul Natl Univ, Sch Earth & Environm Sci, Seoul, South Korea
[3] Yale Univ, Dept Geol & Geophys, New Haven, CT USA
基金
新加坡国家研究基金会; 美国国家航空航天局;
关键词
GENERAL-CIRCULATION MODEL; CARBON-DIOXIDE; ICE-CLOUD; SENSITIVITY; ATMOSPHERE; PARAMETERIZATION; GCM; SIMULATION; IMPACT;
D O I
10.1002/2013JD020582
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The ratio of liquid water to ice in a cloud, largely controlled by the presence of ice nuclei and cloud temperature, alters cloud radiative effects. This study quantitatively examines how the liquid fraction of clouds influences various climate feedbacks using the NCAR Community Atmosphere Model (CAM). Climate feedback parameters were calculated using equilibrated temperature changes in response to increases in the atmospheric concentration of carbon dioxide in CAM Version 3.0 with a slab ocean model. Two sets of model experiments are designed such that cloud liquid fraction linearly decreases with a decrease in temperature down to -20°C (Experiment “C20”) and -40°C (Experiment “C40”). Thus, at the same subzero temperature, C20 yields fewer liquid droplets (and more ice crystals) than C40. Comparison of the results of experiments C20 and C40 reveals that experiment C20 is characterized by stronger cloud and temperature feedbacks in the tropics (30°N–30°S) (by 0.25 and -0.28 W m-2 K-1, respectively) but weaker cloud, temperature, and albedo feedbacks (by -0.20, 0.11, and -0.07 W m-2 K-1) in the extratropics. Compensation of these climate feedback changes leads to a net climate feedback change of ~7.28% of that of C40 in the model. These results suggest that adjustment of the cloud phase function affects all types of feedbacks (with the smallest effect on water vapor feedback). Although the net change in total climate feedback is small due to the cancellation of positive and negative individual feedback changes, some of the individual changes are relatively large. This illustrates the importance of the influence of cloud phase partitioning for all major climate feedbacks, and by extension, for future climate change predictions. © 2014. American Geophysical Union. All Rights Reserved.
引用
收藏
页码:3687 / 3700
页数:14
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