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An Analysis of Interannual Variation of Ensemble Simulation by CWB GFS

An Analysis of Interannual Variation of Ensemble Simulation by CWB GFS. Jyh-Wen Hwu Chun-Rhu Jen Yea-Ching Tung Research and Development Center Central Weather Bureau. Experiment Design. SST :1. 1950/01-1978/11  Reconstructed Reynolds 2. 1978/12-1996/ 3  PCMDI AMIP2

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An Analysis of Interannual Variation of Ensemble Simulation by CWB GFS

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  1. An Analysis of Interannual Variation of Ensemble Simulation by CWB GFS Jyh-Wen Hwu Chun-Rhu Jen Yea-Ching Tung Research and Development Center Central Weather Bureau

  2. Experiment Design • SST:1. 1950/01-1978/11Reconstructed Reynolds 2. 1978/12-1996/ 3 PCMDI AMIP2 3. 1996/4-1999/12 NCEP OISST • Others following the guideline of AMIP2. • Ten members. • Integrate from 1949 to 2001. • 6 hours output, averaged into daily and monthly.

  3. Winter Precipitation

  4. Summer Precipitation

  5. C JJA(0) Wind and PCP 51/52, 57/58, 63/64, 65/66, 72/73, 76/77, 82/83, 91/92, 94/95, 97/98 A A

  6. A SON(0) Wind and PCP A A A A A

  7. A DJF(0) Wind and PCP A A A A A

  8. A MAM(1) Wind and PCP A A

  9. A JJA(1) Wind and PCP A A

  10. SST Experiment IO WP EP 2 1 3 3 4 4 4

  11. 12 ENSOs 3 1 2

  12. 1997/98 3 1 2

  13. Wind(57/58, 72/73, 82/83, 91/92, 97/98)-(55/56, 70/71, 73/74, 75/76, 88/89) C A A

  14. Wind (continue) A A A A

  15. PSL & PCP H H H H

  16. PSL & PCP (continue) H H H H H H H H

  17. South Asia Monsoon Index

  18. Indian Monsoon Index

  19. Western North Pacific Monsoon Index

  20. Australian Summer Monsoon Index

  21. Summary • Model is capable to simulate the larger scale system in both winter and summer. • Model is also capable to simulate the interannual variation caused by the variation of lower boundary SST

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