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Duan Mingkeng, Wang Panxing, Wu Hongbao, et al. The ensemble forecasting verification on the summer Eurasian middle-high latitude circulation. J Appl Meteor Sci, 2009, 20(1): 56-61. .
Citation: Duan Mingkeng, Wang Panxing, Wu Hongbao, et al. The ensemble forecasting verification on the summer Eurasian middle-high latitude circulation. J Appl Meteor Sci, 2009, 20(1): 56-61. .
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The Ensemble Forecasting Verification on the Summer Eurasian Middle-high Latitude Circulation

  • 1.

    Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of In formation Science & Technology, Nanjing 210044

  • 2.

    Chinese Academy of Meteorological Sciences, Beijing 100081

  • 3.

    Environmental Modeling Center, NCEP/NWS/NOAA, USA 20233

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    Abstract
  • The middle-range ensemble forecasting results of Eurasian middle-high latitude region (40°—80°N, 40°—150°E) in JJA 2003 are validated using NCEP EPS. The ACC and RMSE validation on the ensemble mean and deterministic forecasts shows that ensemble average forecasts are more efficient than single forecasts when the lead time is greater than 5 days. Under the same model resolution, ensemble average forecasts can extend the lead time of "usable forecasts" to more than 12 hours, even 7.5 days. The ROC analyses on the deterministic forecasts and ensemble probabilistic forecasts indicates that ensemble forecasting can provide the true probabilistic forecasts through the character of multi-members. The ensemble probabilistic forecasts have obvious advantages comparing to the single forecasts and are also better than increasing model resolution. The case study on the blocking system indicates that ensemble mean is better than single deterministic forecast. The characteristic isoline can reflect the disagreement among the ensemble members and the anomalous behavior in ensemble members. Based on those information, the probability of the target happening can be estimated, hence better forecast results can be achieved.
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  • Fig  1.   Verification resuslts of deterministic forecasts of 500 hPa geopotential height fields in the research region in JJA 2003

    (a) ACC, (b) RMSE

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    Fig  2.   ROC curve of ensemble probabilistic forecasts and deterministic forecasts of 500 hPa geopotential height fields in Eurasian middle-high latitude region in JJA 2003, the lead time is 1 d (a), 3 d (b), 5 d (c), 10 d (d)

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    Fig  3.   ROC area of ensemble probabilistic forecasts and deterministic forecasts of 500 hPa geopotential height fields in Eurasian middle-high latitude region in JJA 2003

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    Fig  4.   The difference between reality analyzing and forecast field of 500 hPa height at 00:00 on June 24, 2003(unit:gpm) the lead time is 7 d (a), 5 d (b), 3 d (c)

    (solid line is R-M, dashed line is R-H)

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    Fig  5.   Forecast and reality analyzing fields of the 576 dagpm isoline at 00:00 on June 24, 2003, the lead time is 7 d (a), 5 d (b), 3 d (c)

    (strong solid line is reality analyzing field; thin solid line is ensemble average forecast; strong dashed line is high resolution forecast; thin dashed lines are the forecasts of ensemble members)

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  • 叶笃正, 黄荣辉.长江黄河流域旱涝规律和成因研究.济南:山东科技出版社, 1996.
    陈静, 陈德辉, 颜宏.集合数值预报发展与研究进展.应用气象学报, 2002, 13(4):497-507. http://qk.cams.cma.gov.cn/jams/ch/reader/view_abstract.aspx?file_no=20020465&flag=1
    段明铿, 王盘兴.集合预报方法研究及应用进展综述.南京气象学院学报, 2004, 27(2):279-288. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX200402019.htm
    Toth Z, Kalney E.Ensemble forecasting at NMC:The generation of perturbations.Bull Amer Meteor Soc, 1993, 74 (12):2317-2330. DOI: 10.1175/1520-0477(1993)074<2317:EFANTG>2.0.CO;2
    Molteni F, Buizza R, Palmer T N, et al.The ECMWF ensemble prediction system:methodology and validation. Q J R Meteorol Soc, 1996, 122:73-119. DOI: 10.1002/(ISSN)1477-870X
    Houterkamer L, Lefaiver L, Derome J, et al. A system simulation approach to ensemble prediction. Mon Wea Rev, 1996, 124(6):1225-1242. DOI: 10.1175/1520-0493(1996)124<1225:ASSATE>2.0.CO;2
    李泽椿, 陈德辉.国家气象中心集合预报数值业务系统的发展及应用.应用气象学报, 2002, 13(1):1-15. http://qk.cams.cma.gov.cn/jams/ch/reader/view_abstract.aspx?file_no=20020101&flag=1
    WMO. THORPEX—A Global Atmospheric Research Programme∥WMO Annual Report 2003, WMO-No.965, Geneva:WMO, 2004.
    张玲.南方地区出现暴雨洪涝, 北方旱情相继得到缓和.气象, 2003, 29(9):58-61. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX200309013.htm
    Kalnay E, Kanamitsu M, Kistler R, et al.The NCEP/NCAR 40-year reanalysis project. Bull Amer Meteor Soc, 1996, 77(1):437-471. DOI: 10.1175/1520-0477%281996%29077<0437%3ATNYRP>2.0.CO%3B2
    刘还珠, 张绍晴.中期数值预报的统计检验分析.气象, 1992, 18(9):50-54. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX199209012.htm
    Kharin V V, Zwiers F W.On the ROC score of probability forecasts.J Climate, 2003, 16:4145-4150. DOI: 10.1175/1520-0442(2003)016<4145:OTRSOP>2.0.CO;2
    皇甫雪官.国家气象中心集合数值预报检验评价.应用气象学报, 2002, 13(1):29-36. http://qk.cams.cma.gov.cn/jams/ch/reader/view_abstract.aspx?file_no=20020103&flag=1
    Toth Z, Zhu Y J, Marchok T.The use of ensemble to identify forecasts with small and large uncertainty.Wea Forecasting, 2001, 16(8):463-477. DOI: 10.1175/1520-0434%282001%29016<0463%3ATUOETI>2.0.CO%3B2
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    • Received : 2008-04-09
    • Accepted : 2008-07-17
    • Published : 2009-02-27
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