ZHANG Chao,SUN Ji-hua,GONG Yuan-fa,et al.Quantitative Verification of Precipitation Forecasts Performance in Yunnan by ECMWF High Resolution Grid[J].Journal of Chengdu University of Information Technology,2018,(06):688-703.[doi:10.16836/j.cnki.jcuit.2018.06.015]
ECMWF高分辨率网格对云南区域 降水预报性能的定量检验
- Title:
- Quantitative Verification of Precipitation Forecasts Performance in Yunnan by ECMWF High Resolution Grid
- 文章编号:
- 2096-1618(2018)06-0688-16
- Keywords:
- meteorology; numerical model test; regional station; precipitation distribution; mean absolute error; regional average method
- 分类号:
- P426.6
- 文献标志码:
- A
- 摘要:
- 针对ECMWF高分辨率网格的降水产品在云南山地区域适用性的问题,采用云南2016年逐24 h和逐3 h的区域站观测资料,利用平均绝对误差的计算公式,对ECMWF模式降水产品的预报性能进行定量检验。首先把降水观测资料插值成格点资料,然后将云南区域内的观测降水分布与ECWMF模式的预测降水分布进行对比,绘制每个格点上预报减观测得到的平均绝对误差分布图,最后利用区域平均法对预报质量进行讨论。结果表明,ECMWF模式对于地形相对平缓的滇中到滇东南地区,模式的误差值较小,预报质量较好; 而对于地形相对复杂的山脉及河谷地区,模式的误差值较大,预报质量相对较差。随着预报时效的增加,预报误差也在增加,并且逐3 h的降水预报误差大于逐24 h的预报误差。
- Abstract:
- In view of the applicability of ECMWF high-resolution grid precipitation products in the Yunnan mountainous region, the forecast data of ECMWF-type precipitation products are forecasted by using the regional station observation data of Yunnan in 2016 for24 h and 3 h respectively.Andthe average absolute error calculation formulais used andthequantitative tests are performed. Firstly, the precipitation observation data were interpolated into grid data, and then the observed precipitation distribution in the Yunnan region was compared with the ECWMF model's predicted precipitation distribution, and the average absolute error distribution map obtained from the forecast minus observation at each grid point was plotted. The regional average method isusedto discuss the quality of the forecast at last. The results show that the ECMWF model has a smaller error value and better prediction quality for the relatively flat terrain in the middle to southeast Yunnan province, while for the relatively complex topographic mountain and valley areas, the model has larger error values and the forecast quality is relatively high. With the increase of forecasting time, the forecast error is also increasing, and the forecast error of precipitation by 3 h is larger than that by 24 h.
参考文献/References:
[1] 钟兰頔,朱克云,王炳赟,等.陡峭地形特大暴雨的雷达资料变分同化试验研究[J].成都信息工程大学学报,2017,32(2):165-174.
[2] 彭敏,巩远发,纪策,等.新疆昌吉州一次极端暴雨天气过程分析及数值模拟[J].成都信息工程大学学报,2017,32(5):537-543.
[3] 徐伙,肖天贵,李跃清.WRF模式不同边界层参数化方案对四川盆地夏季两次强降水的模拟分析[J].成都信息工程大学学报,2017,32(2):175-183.
[4] 刘洋,李诚志,刘志辉,等.基于WRF模式的新疆巴音布鲁克盆地强降雨天气数值模拟效果分析[J].干旱区研究,2016,33(1):28-37.
[5] 庄晓翠,周鸿奎,李博渊.T639模式在新疆北部暖区强降雪中的预报检验[J].干旱气象,2015,33(6):1031-1037.
[6] 范苏丹,盛春岩,肖明静,等.多模式集合对山东省气象要素预报效果检验[J].气象与环境学报,2015,31(6):68-77.
[7] 阎丽凤,盛春岩,肖明静,等.MM5、WRF-RUC及T639模式对山东沿海风力预报分级检验[J].气象科学,2013,33(3):340-346.
[8] 潘留杰,张宏芳,袁媛,等.基于T639细网格模式的陕西省秋淋天气预报效果评估[J].气象与环境学报,2015,31(6):09-17.
[9] 史金丽.WRF模式不同参数化方案对内蒙古不同性质降水模拟分析.[D].南京:南京信息工程大学,2013.
[10] 许美玲,孙绩华.MM5中尺度非静力模式对云南省降水预报检验[J].气象,2002,28(12):24-27.
[11] 许艳彦,王曼,马志敏,等.山脉地形对云南冷锋切变型强降水的影响[J].云南大学学报(自然科学版),2015,37(5):717-727.
[12] 董海萍,赵思雄,曾庆存.低纬高原地形对强降水过程影响的数值试验研究[J].气候与环境研究,2007,12(3):381-396.
[13] A J simmons,A.Hollingsworth.Some aspects of the improvement in skill of numerical weather prediction [J]. Q. J. R. Meteorol. Soc.,2002,128:647-677.
[14] 潘留杰,张宏芳,王建鹏.数值天气预报检验方法研究进展[J].地球科学进展,2014,29(3):327-335.
[15] 张超,程军,徐瑞.CMIP5多模式预测21世纪中国西南区域平均降水量及其变化的对比分析[J].成都信息工程大学学报,2016,31(6):645-650.
[16] 张宏芳,潘留杰,杨新.ECMWF、日本高分辨率模式降水预报能力的对比分析[J].气象,2014,40(4):424-432.
[17] 张超,孙绩华,段玮.云南区域站降水资料利用Surfer软件实现Cressman插值的研究[J].成都信息工程大学学报,2018,33(1):84-90.
[18] Brownlee K A. Statistical Theory and Methodology in Science andEngineering [M]. New York: John Wiley & Sons Wiley,1965:26-30.
[19] SchaeferJ T. The critical success index as an indicator of warningskill [J]. Weatherand Forecasting,1990,5(4):570-575.
[20] Mason I. Dependence of the critical success index on sample climateand threshold probability [J]. Australian MeteorologicalMagazine,1989,37: 75-81.
[21] Doswell C A, Jones R D, Keller D L. On summary measures ofskill in rare eventforecasting based on contingency tables [J]. Weather and Forecasting,1990,5(4): 576-585.
[22] Hoffman R N, Liu Z, Louis J, et al. Distortion representation offorecast errors [J]. Monthly Weather Review,1995,123(5):2758-2770.
[23] Lack S, Limpert G L, Fox N I. An object-oriented multiscaleverification scheme [J]. Monthly Weather Review,2009,131(8):1001-1005.
[24] Gilleland E, David A, Brown B G, et al. Verifying forecastsspatially [J]. American Meteorological Society,2010,8:1365-1373.
[25] 曾瑾瑜,韩美,吴幸毓,等.WRF、EC和T639模式在福建沿海冬半年大风预报中的检验与应用[J].海洋科学,2015,39(7):75-85.
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备注/Memo
收稿日期:2018-03-15 基金项目:云南省科技惠民专项资助项目(2016RA096)