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| Content Provider | Springer Nature Link |
|---|---|
| Author | Liang, Jianyin Yang, Song Hu, Zeng Zhen Huang, Bohua Kumar, Arun Zhang, Zuqiang |
| Copyright Year | 2008 |
| Abstract | The predictable patterns of the Asian and Indo-Pacific summer precipitation in the NCEP climate forecast system (CFS) are depicted by applying a maximized signal-to-noise empirical orthogonal function analysis. The CFS captures the two most dominant modes of observed climate patterns. The first most dominant mode is characterized by the climate features of the onset years of El Niño-Southern Oscillation (ENSO), with strong precipitation signals over the tropical eastern Indian and western Pacific oceans, Southeast Asia, and tropical Asian monsoon regions including the Bay of Bengal and the South China Sea. The second most dominant mode is characterized by the climate features of the decay years of ENSO, with weakening signals over the western-central Pacific and strengthening signals over the Indian Ocean. The CFS is capable of predicting the most dominant modes several months in advance. It is also highly skillful in capturing the air–sea interaction processes associated with the precipitation features, as demonstrated in sea surface temperature and wind patterns. |
| Starting Page | 989 |
| Ending Page | 1001 |
| Page Count | 13 |
| File Format | |
| ISSN | 09307575 |
| Journal | Climate Dynamics |
| Volume Number | 32 |
| Issue Number | 7-8 |
| e-ISSN | 14320894 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2008-05-27 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Asian monsoon Predictable patterns NCEP climate forecast system Oceanography Meteorology/Climatology Geophysics/Geodesy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Atmospheric Science |
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