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Liao Chi-Chang 1 Lo Ming-Fu 2 1 Chung Cheng Institute of Technology National Defense University

Analysis on the simulation and verification of weather system in East Asia by using nested Regional Spectral Model. Liao Chi-Chang 1 Lo Ming-Fu 2 1 Chung Cheng Institute of Technology National Defense University 2 Chinese Naval Meteorological and Oceanographic Office. Outline. 1. Foreword

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Liao Chi-Chang 1 Lo Ming-Fu 2 1 Chung Cheng Institute of Technology National Defense University

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  1. Analysis on the simulation and verification of weather system in East Asia by using nested Regional Spectral Model. Liao Chi-Chang1 Lo Ming-Fu2 1Chung Cheng Institute of Technology National Defense University 2Chinese Naval Meteorological and Oceanographic Office

  2. Outline 1. Foreword 2. Procedure 3. Case simulation and analysis 4. Summary

  3. 1. Foreword • The ultimate goal of model verification is to improve weather forecasting ability. • Model verification is to amend the error. • This research utilizes the earlier (f97) and new versions (New-RSM) of the nested Regional Spectral Model.

  4. RSM： Pressure Temp. Wind Height Humidity Compare NCEP analytic field Feature of f97 and NRSM Model outputs Compare CWB observation station data MSM： Pressure Temp. 2.Procedure

  5. RSM MSM Research Area

  6. Model setting Make NRSMand f97 version have the same condition

  7. Data sources and case select • NCEP Reanalysis data. • This research selects the “Northeast monsoon period" and "Mei-Yu season period" case simulation.

  8. 3.Case simulation and analysis

  9. Northeast monsoon 2008.12.03~08 surface chart 2008.12.21~26 surface chart

  10. F97 NRSM 2014/9/22 10

  11. F97 NRSM 2014/9/22 11

  12. 淡水 板橋 基隆 彭佳嶼 CWB F97 NRSM 澎湖 台中 梧棲 東吉島 花蓮 高雄 恆春 蘇澳 蘭嶼 台東 成功 2014/9/22 12

  13. 淡水 板橋 基隆 彭佳嶼 CWB F97 NRSM 澎湖 台中 梧棲 東吉島 花蓮 高雄 恆春 蘇澳 蘭嶼 台東 成功 2014/9/22 13

  14. 淡水 板橋 基隆 彭佳嶼 CWB F97 NRSM 澎湖 台中 梧棲 東吉島 花蓮 高雄 恆春 蘇澳 蘭嶼 台東 成功 2014/9/22 14

  15. 淡水 板橋 基隆 彭佳嶼 CWB F97 NRSM 澎湖 台中 梧棲 東吉島 花蓮 高雄 恆春 蘇澳 蘭嶼 台東 成功 2014/9/22 15

  16. Mei-Yu season 2008.06.04~09 surface chart 2008.06.13~18 surface chart 2014/9/22 16

  17. F97 NRSM 2014/9/22 17

  18. F97 NRSM 2014/9/22 18

  19. 淡水 板橋 基隆 彭佳嶼 CWB F97 NRSM 澎湖 台中 梧棲 東吉島 花蓮 高雄 恆春 蘇澳 蘭嶼 台東 成功 2014/9/22 19

  20. 淡水 板橋 基隆 彭佳嶼 CWB F97 NRSM 澎湖 台中 梧棲 東吉島 花蓮 高雄 恆春 蘇澳 蘭嶼 台東 成功 2014/9/22 20

  21. 淡水 板橋 基隆 彭佳嶼 CWB F97 NRSM 澎湖 台中 梧棲 東吉島 花蓮 高雄 恆春 蘇澳 蘭嶼 台東 成功 2014/9/22 21

  22. 淡水 板橋 基隆 彭佳嶼 CWB F97 NRSM 澎湖 台中 梧棲 東吉島 花蓮 高雄 恆春 蘇澳 蘭嶼 台東 成功 2014/9/22 22

  23. 4. Summary Northeast monsoon period In RSM, the surface pressure, the temperature, the wind and the lower height field and the humidity field results showed that NRSM is better than f97. In MSM, the surface pressure field of the NRSM is closer to the observation data than f97. The temperature of the NRSM dropped abnormally, but f97 have not such phenomenon. 2014/9/22 23

  24. Mei-Yu Season period In RSM, the surface pressure, the temperature, the lower level height field and the humidity field results showed that the NRSM is better than f97. In MSM, the surface pressure field of NRSM is closer to the observation data, and no " temperature dropped abnormally". The results show that the NRSM is better than f97 overall, and it means that the NRSM have a considerable degree of improvement.

  25. Thanks for your attention

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