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DOI | 10.1029/2018GL077904 |
Observations of Local Positive Low Cloud Feedback Patterns and Their Role in Internal Variability and Climate Sensitivity | |
Yuan, Tianle1,2; Oreopoulos, Lazaros2; Platnick, Steven E.2; Meyer, Kerry2 | |
2018-05-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:9页码:4438-4445 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Modeling studies have shown that cloud feedbacks are sensitive to the spatial pattern of sea surface temperature (SST) anomalies, while cloud feedbacks themselves strongly influence the magnitude of SST anomalies. Observational counterparts to such patterned interactions are still needed. Here we show that distinct large-scale patterns of SST and low-cloud cover (LCC) emerge naturally from objective analyses of observations and demonstrate their close coupling in a positive local SST-LCC feedback loop that may be important for both internal variability and climate change. The two patterns that explain the maximum amount of covariance between SST and LCC correspond to the Interdecadal Pacific Oscillation and the Atlantic Multidecadal Oscillation, leading modes of multidecadal internal variability. Spatial patterns and time series of SST and LCC anomalies associated with both modes point to a strong positive local SST-LCC feedback. In many current climate models, our analyses suggest that SST-LCC feedback strength is too weak compared to observations. Modeled local SST-LCC feedback strength affects simulated internal variability so that stronger feedback produces more intense and more realistic patterns of internal variability. To the extent that the physics of the local positive SST-LCC feedback inferred from observed climate variability applies to future greenhouse warming, we anticipate significant amount of delayed warming because of SST-LCC feedback when anthropogenic SST warming eventually overwhelm the effects of internal variability that may mute anthropogenic warming over parts of the ocean. We postulate that many climate models may be underestimating both future warming and the magnitude of modeled internal variability because of their weak SST-LCC feedback. |
英文关键词 | patterns of cloud feedback internal variability delayed warming weak modeled feedback implied stronger warming |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000434111700076 |
WOS关键词 | ATLANTIC MULTIDECADAL OSCILLATION ; SURFACE-TEMPERATURE-CHANGE ; SPATIAL-PATTERN ; DEPENDENCE ; MODEL ; PACIFIC ; IMPACT ; COVER ; ECMWF ; ISCCP |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/26658 |
专题 | 气候变化 |
作者单位 | 1.Univ Maryland Baltimore Cty, Joint Ctr Earth Syst Technol, Baltimore, MD 21228 USA; 2.NASA, Goddard Space Flight Ctr, Earth Sci Div, Greenbelt, MD 20771 USA |
推荐引用方式 GB/T 7714 | Yuan, Tianle,Oreopoulos, Lazaros,Platnick, Steven E.,et al. Observations of Local Positive Low Cloud Feedback Patterns and Their Role in Internal Variability and Climate Sensitivity[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(9):4438-4445. |
APA | Yuan, Tianle,Oreopoulos, Lazaros,Platnick, Steven E.,&Meyer, Kerry.(2018).Observations of Local Positive Low Cloud Feedback Patterns and Their Role in Internal Variability and Climate Sensitivity.GEOPHYSICAL RESEARCH LETTERS,45(9),4438-4445. |
MLA | Yuan, Tianle,et al."Observations of Local Positive Low Cloud Feedback Patterns and Their Role in Internal Variability and Climate Sensitivity".GEOPHYSICAL RESEARCH LETTERS 45.9(2018):4438-4445. |
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