GSTDTAP  > 气候变化
DOI10.1029/2020GL092309
Evaluating Observational Constraints on Intermodel Spread in Cloud, Temperature and Humidity Feedbacks
Haozhe He; Ryan J. Kramer; Brian J. Soden
2021-08-29
发表期刊Geophysical Research Letters
出版年2021
英文摘要

Uncertainty in climate feedbacks is the primary source of the spread in projected surface temperature responses to anthropogenic forcing. Cloud feedback persistently appears as the main source of disagreement in future projections while the combined lapse-rate plus water vapor (LR+WV) feedback is a smaller (30%), but non-trivial source of uncertainty in climate sensitivity. Here we attempt to observationally constrain the feedbacks in an effort to reduce their intermodel uncertainties. The observed interannual variation provides a useful constraint on the long-term cloud feedback, as evidenced by the consistency of global-mean values and regional contributions to the intermodel spread on both interannual and long-term timescales. However, interannual variability does not serve to constrain the long-term LR+WV feedback spread, which we find is dominated by the varying tropical relative humidity (RH) response to interhemispheric warming differences under clear-sky conditions and the RH-fixed LR feedback under all-sky conditions.

领域气候变化
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/336601
专题气候变化
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Haozhe He,Ryan J. Kramer,Brian J. Soden. Evaluating Observational Constraints on Intermodel Spread in Cloud, Temperature and Humidity Feedbacks[J]. Geophysical Research Letters,2021.
APA Haozhe He,Ryan J. Kramer,&Brian J. Soden.(2021).Evaluating Observational Constraints on Intermodel Spread in Cloud, Temperature and Humidity Feedbacks.Geophysical Research Letters.
MLA Haozhe He,et al."Evaluating Observational Constraints on Intermodel Spread in Cloud, Temperature and Humidity Feedbacks".Geophysical Research Letters (2021).
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