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Ni Yunqi Chinese Academy of Meteorological Sciences State Key Laboratory of Severe Weather State Key Basic Research Development Program SCHeREX Plan(2007-2009)

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Presentation on theme: "Ni Yunqi Chinese Academy of Meteorological Sciences State Key Laboratory of Severe Weather State Key Basic Research Development Program SCHeREX Plan(2007-2009)"— Presentation transcript:

1 Ni Yunqi Chinese Academy of Meteorological Sciences State Key Laboratory of Severe Weather State Key Basic Research Development Program SCHeREX Plan( ) SCHeREX Plan( ) --South China Heavy Rainfall Experiment Rainfall Experiment

2 1.Heavy Rainfall is Main Weather Disaster in China

3 The heavy rainfall is the major weather disasters in south of China.The yearly mean grain lost by flooding disasters in recently 10 years in mainland of China is 20 billion Kg , and 20 billion RMB in property damage responding to 3-6% GDP 。

4  Days of heavy rainfall is increased in the middle and downstream of Yangtze river since 1990’s ;  Days of heavy rainfall is increased as same as above ;  Days of heavy rainfall is decreased in northern China since 70’s. New studies showed that

5 夏季不同地区的极端雨日数的长期变化 长江中下游地区 华北地区

6 年华南 17 个代表站全年和夏季极端降水总量(单 位: mm ) 及其 Mann-Kendall 检验 - 90 年代突变 (b) (a) 全年极端降水总量夏季极端降水总量

7 2 ) It is also difficult to predict heavy rainfall by using the numerical model.

8 The capability of forecasting heavy rainfall by using numerical model is still lower. Ts score for AREM model in 2003 summer AREM_3Dvar meso-scale model HLAFS0.25 operational regional model regional model T213 Global model

9 Why ? 1 ) three dimensional structure, formation mechanism and physical processes of the convective systems with meso β scale still is not very clear.

10 2 ) We can’t provide a initial condition involving a lot of meso- scale information for numerical model.

11 If we want to really understand meso-scale convective systems and improve capability of forecasting heavy rainfall we have to get the data as follows: 1) the meteorological data described three dimensional structure of meso-scale convective system and its variation; 2) parameters of micro-physical processes of inside of could.

12 2. Objectives, experimental regions and periods

13 1) Objectives 1) Establish a high-space resolution meso-scale observation net with adaptive function; 2) Obtained high time-space resolution meteorological database which can described three dimensional structure of meso-scale system; 3)develping a meso-scale reanalysis system and forming a high time-space resolution reanalysis meteorological fields; 4) improve heavy rainfall prediction by using this database with real time.

14 2) Experimental region The experimental region includes the provinces located in southern China and middle and down stream of Yangtze River. It is related to more than ten provinces in South China.

15 3) Experimental period It is May- July in 2007 /2008 and maybe extended to 2009.

16 3. Design of observation network with meso-scale

17 1) Design of meso scale-α observation network

18 CHeREX Experiment Areas

19 CHeREX Four Experiment Areas Huihe Obs.region Central China Delta Obs. Region Southern China Region

20 Doppler radars 9 Surface stations 169 Sounding stations 10 Automatic meteo. stations 600 Meteo. Satellite FY-2c and others GPS data & wind profiles

21 2) Design of meso scale- β observation network in Southern China

22 Distribution of annual mean heavy rainfall days in Guandong


24 Guandong Province meso-βscale observation region EquipmentsNumber Doppler radar operational6 Movable2 Sounding station Operational6 GPS sounding/boundary layer 10 Wind profile3 Surface stationsoperational30 Auto-stations 300 GPS/moisture

25 (3) Movable Observation Systems

26 图 154 (11900m )



29 美国 35G 测云雾雷达 /20Km

30 3830 、 3830J Movable C-band Doppler Radar

31 Wind Profile

32 高分辨风廓线显示

33 SCHeREX Movable observation system constructed by : 1) A airborne drapsounde ; 2 ) A movable polirized Doppler Radar with X band; 3 ) A movable cloud radar with 8mm band ; 4 ) A wind profile and a movable sounding station.

34 ( 4 ) Using remote sensing retrieval data make up lack of data, especially in the ocean areas.

35 We can retrieval three dimension structure of meso-scale heavy rainfall systems by using remote sensing technique from the former state 973 project. Therefore, we analyze and understand moving and developing of meso-scale heavy rainfall systems by using the products provided by the remote sensing technique.

36 A C B 0600 UTC 22 June 2002 Wind driven from clouds at hpa


38 Analysis using remote sensing retrieval data for three dimensional temperature & moisture structure of meso-scale system

39 配对雷达的距离适中: 60 - 80KM 立体扫描时间短,层数要尽量多 Retrieval area of dual-Doppler radars 两个雷达径向速度 的夹角在( 30 - ) 之间 广州 龙门

40 广卅 龙门 CAPPI 1km 2km 3km PPI 1层1层 2层2层 3层3层 4层4层 Retrieval layers in vertical for dual-Doppler radars




44 业务雷达 广州 23º 00′113º 21′ 深圳 22º 33′114º 06′ 香港 22º 15′114º 08′ 澳门 22º 10′113º 33′ 车载雷达 龙门 23º 44′114º 14′ 惠阳 23º 05′114º 25′ 广州 香港 澳门 龙门 深圳 惠阳 Dual-Doppler Radar Network in Southern China meso—β Obs. Region in Southern China meso—β Obs. Region

45 It is conducted as three dimensional structure observation network with meso- β scale resolution based on ground-base, air-base and space-base remote sensing techniques.

46 Movable Observing System Satellite Radar on plane Drop sounding Processing & Prediction system Movable radar Operation radar

47 4. Sensitive Areas for Prediction of Heavy Rainfall and Target Observation

48 1) Decision of sensitive areas for prediction of meso-scale heavy rainfall : The sensitive areas for prediction of heavy rainfall involve the upstream region of the heavy rainfall system and the moisture transportation way to the south of the heavy rainfall system. Implement the target observation: Intensive observation region= The sensitive areas + Prediction area

49 5. Database and data share of SCHeREX



52 6. Headquarters of SCHeREX

53 SCHeREX Leaders group SCHeREX Headquarters SCHeREX Office Working group Of meso –scale Obs. Working group Of Data processing Working group of Analysis of satellite remote sensing Working group Of database Working group of Quick look & analysis of low frequency Working group of reanalysis & prediction Headquarters Organization Flow Chart

54 7. International Collaboration

55 1.Japan: Institute of Observation Research for Global Change/JAMSTEC, Dr. Yoshizaki Masanori group. 2. Korea: School of Earth and Environmental Sciences of Seoul National University, Prof. Dong-Kyou Lee. 3. United States: (1) University of Marland, Prof.Da-Lin Zhang; (2) Texas A & M University, Prof.Fuqin Zhang; (3) University of Miami, Dr.Shuyi Chen.

56 8. Conclusion & Discussion

57 1.In order to obtain high-resolution with time & space three dimensional data we will implement the field experiment of heavy rainfall in southern China in May-July 2007/ Characteristics of SCHeREX are (1) establish dual-Doppler observation network with four operational Doppler radars and two movable Doppler radars; (2) implement dropsonde detecting from air plane; (3) Using dual polarized Doppler radar to detect the parameters inside of cloud; (4) Increasing sounding density in space by using GPS/boundary layer sounding.

58 3. It is necessary to us satellite remote sensing to increase meso-scale observed information including COSMIC; 4. In this experiment we have to develop meso-scale reanalysis system and assimilation and integration different kinds of observed data. As a result, The meso- scale reanalysis field is formed; 5. We must develop interact system between observation system and prediction system. 6. The data from SCHeREX should be shared under certain condition.

59 Thank you!

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