liao chi-chang 1 lo ming-fu 2 1 chung cheng institute of technology national defense university

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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 - PowerPoint PPT Presentation

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112/04/21 1

Liao Chi-Chang1 Lo Ming-Fu2

1Chung Cheng Institute of Technology National Defense University2Chinese Naval Meteorological and Oceanographic Office

Analysis on the simulation and verification of weather system in

East Asia by using nested Regional Spectral Model.

112/04/21 2

1. Foreword

2. Procedure

3. Case simulation and analysis

4. Summary

Outline

112/04/21 3

1. ForewordThe 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.

112/04/21 4

2.Procedure

Modeloutputs

RSM:PressureTemp.WindHeightHumidity

MSM:PressureTemp.

Feature of f97 and NRSMCompare

CWB observation station data

Compare NCEP analytic field

112/04/21 5

Research Area

RSM

MSM

112/04/21 6

Model setting

GSM RSM MSM

△x( km) 120 60 5

△t( s) 120 60 5

Vertical level 18 28 28

I*J grid 360*180 96*73 108*107

Range global 5°N - 43°N; 95°E - 150°E

21.5°N-26°N ;

118°E-122.5°E

Make NRSM and f97 version have the same condition

112/04/21 7

Data sources and case select

NCEP Reanalysis data.

This research selects the “Northeast

monsoon period" and "Mei-Yu

season period" case simulation.

112/04/21 8

3.Case simulation and analysis

112/04/21 9

2008.12.03~08 surface chart

Northeast monsoon

2008.12.21~26 surface chart

112/04/21 10

F97

NRSM

112/04/21 11

F97

NRSM

112/04/21 12

CWB

F97

NRSM

彭佳嶼 基隆 板橋淡水

台中 梧棲

高雄 恆春

澎湖 東吉島

蘇澳 花蓮

台東 成功 蘭嶼

112/04/21 13

CWB

F97

NRSM

彭佳嶼 基隆 板橋淡水

台中 梧棲

高雄 恆春

澎湖 東吉島

蘇澳 花蓮

台東 成功 蘭嶼

112/04/21 14

CWB

F97

NRSM

彭佳嶼 基隆 板橋淡水

台中 梧棲

高雄 恆春

澎湖 東吉島

蘇澳 花蓮

台東 成功 蘭嶼

112/04/21 15

CWB

F97

NRSM

彭佳嶼 基隆 板橋淡水

台中 梧棲

高雄 恆春

澎湖 東吉島

蘇澳 花蓮

台東 成功 蘭嶼

112/04/21 16

2008.06.04~09 surface chart

Mei-Yu season

2008.06.13~18 surface chart

112/04/21 17

F97

NRSM

112/04/21 18

F97

NRSM

112/04/21 19

CWB

F97

NRSM

彭佳嶼 基隆 板橋淡水

台中 梧棲

高雄 恆春

澎湖 東吉島

蘇澳 花蓮

台東 成功 蘭嶼

112/04/21 20

CWB

F97

NRSM

彭佳嶼 基隆 板橋淡水

台中 梧棲

高雄 恆春

澎湖 東吉島

蘇澳 花蓮

台東 成功 蘭嶼

112/04/21 21

CWB

F97

NRSM

彭佳嶼 基隆 板橋淡水

台中 梧棲

高雄 恆春

澎湖 東吉島

蘇澳 花蓮

台東 成功 蘭嶼

112/04/21 22

CWB

F97

NRSM

彭佳嶼 基隆 板橋淡水

台中 梧棲

高雄 恆春

澎湖 東吉島

蘇澳 花蓮

台東 成功 蘭嶼

112/04/21 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.

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.

Thanks for your attention

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