|
|||||
|
|
| E1 Nio phenomenon in simple ocean data assimilation data | |
| 作者姓名： | GUI Maochang * WU Lingjuan . Institute of Oceanology Chinese Academy of Sciences Qingdao China. Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chine-se Academy of Sciences Beijing China. Graduate School Chinese Academy of Sciences Beijing China |
| 作者单位： | GUI Maochang1，2*，WU Lingjuan1，31. Institute of Oceanology，Chinese Academy of Sciences，Qingdao 266071，China2. Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics，Institute of Atmospheric Physics，Chine-se Academy of Sciences，Beijing 100080，China3. Graduate School，Chinese Academy of Sciences，Beijing 100039，China |
| 摘 要： | 1 IntroductionIt is well known that interaction between the trop-ical ocean and atmosphere produces the largest inter-annual climate signal, El Nino-Southern Oscillation(ENSO). In past decades many efforts have been madein understanding and predicting ENSO: such as the hy-pothesis of Bjerknes (1969) that ENSO arises as aself-sustained cycle in which SSTA in the Pacific O-cean causes the trade winds to strengthen or slackenand that this in turn drives the ocean circulation changesthat … |
| 本文献已被 CNKI 等数据库收录！ | |