ENSO Asymmetry in the CAMS-CSM
文献类型：期刊论文
| 作者 | Hua, Lijuan4; Chen, Lin1,2,3 |
| 刊名 | ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES
 |
| 出版日期 | 2019-08-01 |
| 卷号 | 55期号:3页码:507-528 |
| 关键词 | ENSO asymmetry Shortwave radiation flux Oceanic internal dynamic advection |
| ISSN号 | 1976-7633 |
| DOI | 10.1007/s13143-018-00102-9 |
| 通讯作者 | Hua, Lijuan(hualj@cma.gov.cn) |
| 英文摘要 | This study presents an overview of El Nino-Southern Oscillation (ENSO) asymmetry using the Chinese Academy of Meteorological Sciences climate system model (CAMS-CSM). We discover that the coupled run of the CAMS-CSM has an obvious bias of ENSO opposite-sign asymmetry compared to observation, mainly in the eastern Pacific. Further analysis shows that the spatial distributions of sea surface temperature anomalies (SSTA) during both phases of the ENSO present individual biases, consisting of a warmer field during the warm phase and a colder field during the cold phase, in comparison with observation. The bias of ENSO asymmetry during both phases is partly due to the unrealistic simulation of shortwave (SW) radiation flux and the corresponding total cloud cover (TCC). The Atmospheric Model Intercomparison Project (AMIP) run demonstrates that biases of the SW radiation flux and the associated TCC originate in the atmospheric component of the model, which could be attributed to its unrealistic cloud microphysical scheme. Through air-sea interaction, these biases are amplified significantly during both ENSO phases of the coupled run. Moreover, another cause for the bias of ENSO asymmetry during the warm phase is the relatively slow decay of the ENSO in the simulation, with the thermocline anomalies propagating eastward more slowly. The bias of ENSO asymmetry in the cold phase is attributed to oceanic internal dynamic advection, mainly associated with zonal and meridional terms. Further analysis also highlights the essential role of reasonably representing the climatological mean state in ENSO model simulation. |
| WOS关键词 | EL-NINO ; INDIAN-OCEAN ; FEEDBACK PROCESSES ; MODEL ; TRANSITION ; SIMULATION ; RECTIFICATION ; NONLINEARITY ; VARIABILITY ; ANOMALIES |
| 资助项目 | National Natural Science Foundation of China[41606011] ; National Key Research and Development Program of China[2016YFE0102400] ; National Key Research and Development Program of China[2016YFA0600602] ; Basic Scientific Research and Operation Foundation of CAMS[2017Y007] ; Major Program of National Natural Science Foundation of China[91637210] ; Startup Foundation for Introducing Talent of NUIST ; open fund of State Key Laboratory of Loess and Quartary Geology[SKLLQG1802] ; LASG open project |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000477569700015 |
| 出版者 | KOREAN METEOROLOGICAL SOC |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China ; Basic Scientific Research and Operation Foundation of CAMS ; Major Program of National Natural Science Foundation of China ; Startup Foundation for Introducing Talent of NUIST ; open fund of State Key Laboratory of Loess and Quartary Geology ; LASG open project |
| 源URL | [http://ir.ieecas.cn/handle/361006/13663]  |
| 专题 | 地球环境研究所_黄土与第四纪地质国家重点实验室（2010~） |
| 通讯作者 | Hua, Lijuan |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, CIC FEMD, Joint Int Res Lab Climate & Environm Change ILCEC, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Earth Environm, SKLLQG, Xian 710061, Shaanxi, Peoples R China 4.Chinese Acad Meteorol Sci, State Key Lab Severe Weather LASW, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hua, Lijuan,Chen, Lin. ENSO Asymmetry in the CAMS-CSM[J]. ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES,2019,55(3):507-528. |
| APA | Hua, Lijuan,&Chen, Lin.(2019).ENSO Asymmetry in the CAMS-CSM.ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES,55(3),507-528. |
| MLA | Hua, Lijuan,et al."ENSO Asymmetry in the CAMS-CSM".ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES 55.3(2019):507-528. |
入库方式： OAI收割
来源：地球环境研究所
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