DOI: | 10.1002/2016GL069917
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论文题名: | Insights from a refined decomposition of cloud feedbacks |
作者: | Zelinka M.D.; Zhou C.; Klein S.A.
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刊名: | Geophysical Research Letters
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ISSN: | 0094-8707
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EISSN: | 1944-8438
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出版年: | 2016
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卷: | 43, 期:17 | 起始页码: | 9259
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结束页码: | 9269
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语种: | 英语
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英文关键词: | cloud feedback
; CMIP
; radiative kernel
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Scopus关键词: | Troposphere
; Climate sensitivity
; Cloud feedbacks
; Cloud optical depth
; Cloud properties
; CMIP
; Low cloud cover
; Radiative kernel
; Tropospheric clouds
; Decomposition
; altitude
; climate feedback
; climate modeling
; cloud cover
; cloud radiative forcing
; decomposition
; ensemble forecasting
; troposphere
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英文摘要: | Decomposing cloud feedback into components due to changes in several gross cloud properties provides valuable insights into its physical causes. Here we present a refined decomposition that separately considers changes in free tropospheric and low cloud properties, better connecting feedbacks to individual governing processes and avoiding ambiguities present in a commonly used decomposition. It reveals that three net cloud feedback components are robustly nonzero: positive feedbacks from increasing free tropospheric cloud altitude and decreasing low cloud cover and a negative feedback from increasing low cloud optical depth. Low cloud amount feedback is the dominant contributor to spread in net cloud feedback but its anticorrelation with other components damps overall spread. The ensemble mean free tropospheric cloud altitude feedback is roughly 60% as large as the standard cloud altitude feedback because it avoids aliasing in low cloud reductions. Implications for the “null hypothesis” climate sensitivity from well-understood and robustly simulated feedbacks are discussed. ©2016. American Geophysical Union. All Rights Reserved. |
URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987605289&doi=10.1002%2f2016GL069917&partnerID=40&md5=f49d6dd9a4d8dca6636ea0124b51cb8b
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Citation statistics: |
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资源类型: | 期刊论文
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标识符: | http://119.78.100.158/handle/2HF3EXSE/9670
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Appears in Collections: | 科学计划与规划 气候变化与战略
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作者单位: | Cloud Processes Research Group, Lawrence Livermore National Laboratory, Livermore, CA, United States
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Recommended Citation: |
Zelinka M.D.,Zhou C.,Klein S.A.. Insights from a refined decomposition of cloud feedbacks[J]. Geophysical Research Letters,2016-01-01,43(17).
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