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DOI | 10.1175/JCLI-D-17-0331.1 |
Diagnosing Relationships between Mean State Biases and El Nino Shortwave Feedback in CMIP5 Models | |
Ferrett, Samantha1; Collins, Matthew1; Ren, Hong-Li2,3,4 | |
2018-02-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:4页码:1315-1335 |
文章类型 | Article |
语种 | 英语 |
国家 | England; Peoples R China |
英文摘要 | The rate of damping of tropical Pacific sea surface temperature anomalies (SSTAs) associated with El Nino events by surface shortwave heat fluxes has significant biases in current coupled climate models [phase 5 of the Coupled Model Intercomparison Project (CMIP5)]. Of 33 CMIP5 models, 16 have shortwave feedbacks that are weakly negative in comparison to observations, or even positive, resulting in a tendency of amplification of SSTAs. Two biases in the cloud response to El Nino SSTAs are identified and linked to significant mean state biases in CMIP5 models. First, cool mean SST and reduced precipitation are linked to comparatively less cloud formation in the eastern equatorial Pacific during El Nino events, driven by a weakened atmospheric ascent response. Second, a spurious reduction of cloud driven by anomalous surface relative humidity during El Nino events is present in models with more stable eastern Pacific mean atmospheric conditions and more low cloud in the mean state. Both cloud response biases contribute to a weak negative shortwave feedback or a positive shortwave feedback that amplifies El Nino SSTAs. Differences between shortwave feedback in the coupled models and the corresponding atmosphere-only models (AMIP) are also linked to mean state differences, consistent with the biases found between different coupled models. Shortwave feedback bias can still persist in AMIP, as a result of persisting weak shortwave responses to anomalous cloud and weak cloud responses to atmospheric ascent. This indicates the importance of bias in the atmosphere component to coupled model feedback and mean state biases. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000425166600002 |
WOS关键词 | GENERAL-CIRCULATION MODELS ; OCEAN-ATMOSPHERE MODELS ; COUPLED OCEAN ; SEASONAL CYCLE ; EQUATORIAL PACIFIC ; TROPICAL PACIFIC ; COLD-TONGUE ; DOUBLE-ITCZ ; ENSO ; EVENTS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
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/20533 |
专题 | 气候变化 |
作者单位 | 1.Univ Exeter, Coll Engn Math & Phys Sci, Exeter, Devon, England; 2.China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing, Peoples R China; 3.China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan, Hubei, Peoples R China; 4.Nanjing Univ, CMA Nanjing Univ Joint Lab Climate Predict Studie, Sch Atmospher Sci, Nanjing, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Ferrett, Samantha,Collins, Matthew,Ren, Hong-Li. Diagnosing Relationships between Mean State Biases and El Nino Shortwave Feedback in CMIP5 Models[J]. JOURNAL OF CLIMATE,2018,31(4):1315-1335. |
APA | Ferrett, Samantha,Collins, Matthew,&Ren, Hong-Li.(2018).Diagnosing Relationships between Mean State Biases and El Nino Shortwave Feedback in CMIP5 Models.JOURNAL OF CLIMATE,31(4),1315-1335. |
MLA | Ferrett, Samantha,et al."Diagnosing Relationships between Mean State Biases and El Nino Shortwave Feedback in CMIP5 Models".JOURNAL OF CLIMATE 31.4(2018):1315-1335. |
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