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DOI10.1175/JCLI-D-17-0682.1
A Test of Emergent Constraints on Cloud Feedback and Climate Sensitivity Using a Calibrated Single-Model Ensemble
Wagman, Benjamin M.1,2; Jackson, Charles S.1
2018-09-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2018
卷号31期号:18页码:7515-7532
文章类型Article
语种英语
国家USA
英文摘要

A calibrated single-model ensemble (SME) derived from the NCAR Community Atmosphere Model, version 3.1, is used to test two hypothesized emergent constraints on cloud feedback and equilibrium climate sensitivity (ECS). The Fasullo and Trenberth relative humidity (RH) metric and the Sherwood et al. lower-tropospheric mixing (LTMI) metric are computed for the present-day climate of the SME, and the relationships between the metrics, ECS, and cloud and other climate feedbacks are examined. The tropical convergence zone relative humidity (RHM) and the parameterized lower-tropospheric mixing (LTMIS) are positively correlated to ECS, and each is associated with a different spatial pattern of tropical shortwave cloud feedback in the SME. However, neither of those metrics is linked to the type of cloud response hypothesized by its authors. The resolved lower-tropospheric mixing (LTMID) is positively correlated to ECS for a subset of the SME having LTMID over a threshold value. LTMI and the RH for the dry, descending branch of the Hadley cell (RHD) narrow and shift upward the posterior estimates of ECS in the SME, but the SME bias in RHD and concerns over poorly understood physical mechanisms suggest the narrowing could be spurious for both constraints. While calibrated SME results may not generalize to multimodel ensembles, they can enhance the process understanding of emergent constraints and serve as out-of-sample tests of robustness.


英文关键词Atmosphere Climate sensitivity Bayesian methods Climate prediction Ensembles Probability forecasts models distribution
领域气候变化
收录类别SCI-E
WOS记录号WOS:000440897600001
WOS关键词COMMUNITY ATMOSPHERE MODEL ; UNCERTAINTY ESTIMATION ; PARAMETER ; QUANTIFICATION ; SIMULATIONS ; CONVECTION
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/21238
专题气候变化
作者单位1.Univ Texas Austin, Inst Geophys, Austin, TX 78712 USA;
2.Univ Texas Austin, Dept Geol Sci, Jackson Sch Geosci, Austin, TX 78712 USA
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Wagman, Benjamin M.,Jackson, Charles S.. A Test of Emergent Constraints on Cloud Feedback and Climate Sensitivity Using a Calibrated Single-Model Ensemble[J]. JOURNAL OF CLIMATE,2018,31(18):7515-7532.
APA Wagman, Benjamin M.,&Jackson, Charles S..(2018).A Test of Emergent Constraints on Cloud Feedback and Climate Sensitivity Using a Calibrated Single-Model Ensemble.JOURNAL OF CLIMATE,31(18),7515-7532.
MLA Wagman, Benjamin M.,et al."A Test of Emergent Constraints on Cloud Feedback and Climate Sensitivity Using a Calibrated Single-Model Ensemble".JOURNAL OF CLIMATE 31.18(2018):7515-7532.
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