Liu Chunwen, Lin Yonghui, Cao Yancha. The application of the local analysis and prediction system to GRAPES. J Appl Meteor Sci, 2013, 24(2): 162-170.
Citation: Liu Chunwen, Lin Yonghui, Cao Yancha. The application of the local analysis and prediction system to GRAPES. J Appl Meteor Sci, 2013, 24(2): 162-170.

The Application of the Local Analysis and Prediction System to GRAPES

  • Received Date: 2012-08-14
  • Rev Recd Date: 2012-12-31
  • Publish Date: 2013-04-30
  • The local analysis and prediction system (LAPS) is widely applied, providing fast comprehensive analysis products for forecasters and assimilating various observational information. GRAPES_Meso is a new generation of global/regional assimilation and prediction system, developed by Chinese Academy of Meteorological Sciences, and has been used in operation and research. However, LAPS itself does not provide any interface system with GRAPES_Meso.Based on the investigation of LAPS and GRAPES_Meso, the output data of LAPS are used as the initial condition of GRAPES_Meso model (GRAPES-LAPS), and compared with the original initial scheme of GRAPES_Meso model (GRAPES-3DVAR). Twenty-eight rainfall events in Southern China from 2008 to 2010 are simulated with the two initial schemes, which both assimilate data including 14 Doppler radar observations, 30 radiosonde observations and about 530 surface observations.The results show that the initial fields obtained by the GRAPES-LAPS scheme accurately represent the moisture fields and meso-scale environmental circulations. The simulated moisture and convergence at low level by the GRAPES-LAPS scheme are stronger than the results of the GRAPES-3DVAR scheme, and these initial fields are beneficial to improve the GRAPES_Meso model simulation. The mean square error (MSE) and threshold scores (TS) of two schemes of the twenty-eight rainfall events are equivalent, but ten rainstorm events are accurately simulated by using GRAPES-LAPS scheme and only five rainstorm events are accurately simulated by GRAPES-3DVAR scheme. The TS scores of moderate rain, heavy rain and rainstorm by the GRAPES-LAPS scheme are a little better than those of the GRAPES-3DVAR scheme, indicating that the GRAPES-LAPS scheme is more suitable to forecast strong rainfall events than the GRAPES-3DVAR scheme.
  • Fig. 1  The distribution of operational radar stations, automatic weather stations and radio sounding stations in the zone of GRAPES and LAPS model simulation

    Fig. 2  24-hour accumulated rainfall from 0800 BT 14 July 2009 to 0800 BT 15 July 2009

    (a) LAPS scheme, (b)3DVAR scheme, (c) observation

    Fig. 3  The specific humidity of 850 hPa and 750 hPa at 0800 BT 14 July 2009 from LAPS and 3DVAR schemes

    Fig. 4  Divergence of 700 hPa and vertical distribution of divergence from 118°E to 119°E at 0800 BT 14 July 2009 from LAPS and 3DVAR schemes

    Fig. 5  Vorticity of 700 hPa and vertical distribution of vorticity from 118°E to 119°E at 0800 BT 14 July 2009 from LAPS and 3DVAR schemes

    Fig. 6  The root-mean-square errors of 24-hour 850 hPa humidity (a) and 500 hPa height (b) of LAPS and 3DVAR schemes

    Fig. 7  TS scores of 24-hour accumulated rainfall forecast of LAPS and 3DVAR schemes

    Fig. 8  TS scores of 24-hour rainstorm forecast of LAPS and 3DVAR schemes

    Table  1  Information of 28 cases

    序号 2008年 2009年 2010年
    1 05-17 05-19 05-01
    2 05-18 05-20 05-02
    3 05-19 05-21 05-03
    4 07-07 05-04
    5 07-08 05-05
    6 07-09 05-6
    7 07-10 05-11
    8 07-11 05-12
    9 07-12 05-14
    10 07-13 05-18
    11 07-14 05-19
    12 07-15 05-20
    13 05-21
    DownLoad: Download CSV
  • [1]
    Albers S C, McGinley J A, Birkenheuer D L, et al.The Local Analysis and Prediction System (LAPS):Analyses of clouds, precipitation, and temperature.Wea Forecasting, 1996, 11(3):273-287. doi:  10.1175/1520-0434(1996)011<0273:TLAAPS>2.0.CO;2
    [2]
    Snook J S, Stamus P A, Edwards J.Local-domain mesoscale analysis and forecast model support for the 1996 Centennial Olympic Games.Wea Forecasting, 1998, 13(1):138-150. doi:  10.1175/1520-0434(1998)013<0138:LDMAAF>2.0.CO;2
    [3]
    Etherton B, Santos P.Sensitivity of WRF forecasts for South Florida to initial conditions.Wea Forecasting, 2008, 23(4):725-740. doi:  10.1175/2007WAF2006115.1
    [4]
    李红莉, 崔春光, 彭菊香. 多途径探测资料中尺度分析场的形成及在AREM模式预报中的初步应用//全国数值预报发展与应用研讨会论文集. 2009: 49-61.
    [5]
    李红莉, 张兵, 陈波.局地分析和预报系统 (LAPS) 及其应用.气象科技, 2008, 36(1):20-24. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ200801005.htm
    [6]
    Barnes S L.A technique for maximizing details in numerical weather map analysis.J Appl Meteor, 1964, 3(4):396-409. doi:  10.1175/1520-0450(1964)003<0396:ATFMDI>2.0.CO;2
    [7]
    Lewis J, Lakshmivarahan L.Sasaki's pivotal contribution:Calculus of variations applied to weather map analysis.Mon Wea Rev, 2008, 136(9):3553-3567. doi:  10.1175/2008MWR2400.1
    [8]
    Albers S C.The LAPS wind analysis.Wea Forecasting, 1995, 10(2):342-352. doi:  10.1175/1520-0434(1995)010<0342:TLWA>2.0.CO;2
    [9]
    薛纪善, 陈德辉.数值预报系统GRAPES的科学设计与应用.北京:气象出版社, 2008:1-383.
    [10]
    陈德辉, 沈学顺.新一代数值预报系统GRAPES研究进展.应用气象学报, 2006, 17(6):773-777. doi:  10.11898/1001-7313.20060614
    [11]
    黄丽萍, 伍湘君, 金之雁.GRAPES模式标准初始化方案设计与实现.应用气象学报, 2005, 16(3):374-384. doi:  10.11898/1001-7313.20050312
    [12]
    伍湘君, 金之雁, 黄丽萍, 等.GRAPES模式软件框架与实现.应用气象学报, 2005, 16(4):539-546. doi:  10.11898/1001-7313.20050415
    [13]
    张人禾, 沈学顺.中国国家级新一代业务数值预报系统GRAPES的发展.科学通报, 2008, 53(20):2392-2395. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB200820001.htm
    [14]
    陈德辉, 薛纪善, 杨学胜, 等.GRAPES新一代全球/区域多尺度统一数值预报模式总体设计研究.科学通报, 2008, 53(20):2396-2407. doi:  10.3321/j.issn:0023-074X.2008.20.002
    [15]
    薛纪善, 庄世宇, 朱国富, 等.GRAPES新一代全球/区域变分同化系统研究.科学通报, 2008, 53(20):2408-2417. doi:  10.3321/j.issn:0023-074X.2008.20.003
    [16]
    张林, 朱宗申.GRAPES模式切线性垂直扩散方案的误差分析和改进.应用气象学报, 2008, 53(2):194-200. doi:  10.11898/1001-7313.20080235
    [17]
    孙晶, 楼小凤, 胡志晋, 等.CAMS复杂云微物理方案与GRAPES模式耦合的数值试验.应用气象学报, 2008, 19(3):315-325. doi:  10.11898/1001-7313.20080307
    [18]
    杨学胜, 胡江林, 陈德辉, 等.全球有限区数值预报模式动力框架的试验验证.科学通报, 2008, 53(20):2418-2423. doi:  10.3321/j.issn:0023-074X.2008.20.004
    [19]
    张华, 薛纪善, 庄世宇, 等.GRAPES三维变分同化系统的理想试验.气象学报, 2004, 62(1):31-41. doi:  10.11676/qxxb2004.004
    [20]
    庄照荣, 薛纪善, 朱宗申, 等.非线性平衡方案在三维变分同化系统中的应用.气象学报, 2006, 64(2):137-148. doi:  10.11676/qxxb2006.014
    [21]
    马旭林, 庄照荣, 薛纪善, 等.GRAPES非静力数值预报模式的三维变分资料同化系统的发展.气象学报, 2009, 65(1):51-60. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB200901007.htm
    [22]
    张林, 朱宗申. GRAPES四维变分同化系统中线性大尺度凝结方案的开发与试验//全国数值预报发展与应用研讨会论文集. 2009: 75-85.
    [23]
    徐国强, 薛纪善.中国夏季模式降水方案的应用分析研究.干旱气象, 2003, 21(4):6-12. http://www.cnki.com.cn/Article/CJFDTOTAL-GSQX200304002.htm
    [24]
    邓华, 薛纪善, 徐海明, 等.GRAPES中尺度模式中不同对流参数化方案模拟对流激发的研究.热带气象学报, 2008, 24(4):327-334. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200804004.htm
    [25]
    Hong S Y, Juang H M H, Zhao Q.Implementation of prognostic cloud scheme for a regional spectral model.Mon Wea Rev, 1998, 126(10):2621-2639. doi:  10.1175/1520-0493(1998)126<2621:IOPCSF>2.0.CO;2
    [26]
    罗阳, 赵伟, 翟景秋.两类天气预报评分问题研究及一种新评分方法.应用气象学报, 2009, 20(2):129-136. doi:  10.11898/1001-7313.20090201
    [27]
    黄海洪, 郑凤琴, 孙崇智.一种新型降水预报评分方法.气象, 2004, 30(9):35-38. doi:  10.7519/j.issn.1000-0526.2004.09.008
    [28]
    丁金才.天气预报评分方法评述.南京气象学院学报, 1995, 18(1):143-150. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX501.021.htm
  • 加载中
  • -->

Catalog

    Figures(8)  / Tables(1)

    Article views (2907) PDF downloads(1460) Cited by()
    • Received : 2012-08-14
    • Accepted : 2012-12-31
    • Published : 2013-04-30

    /

    DownLoad:  Full-Size Img  PowerPoint