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上海沿岸海域风场质量控制与预报检验 被引量:8

Quality Control and Forecast Verification of Wind Field in Coastal Waters of Shanghai
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摘要 利用2016年上海沿岸海域19个站点的风场资料,进行了风场质量控制,包括完整性检查、内部一致性检查、持续性检查和高度订正。同时挑选10个站点作为实况对2016年风场模式预报进行检验,包括风速预报误差、风速预报准确率和风向预报检验,对比了风场观测资料质量控制前后的检验结果,最后对两次大风过程进行了检验。结果表明:预报检验结果均随着预报时效的增加而变差;整体误差秋季和冬季较小,6月和7月误差较大;分级检验0~5级风速准确率在0.9~1之间,预报值比实况偏大,6级以上风速预报准确率逐渐降低,且预报值比实况偏小;风向检验呈现明显的季节性,冬季12月、1月误差小,准确率最高,夏季6月误差最大,准确率最低;质量控制后检验结果都得到正面提升;两次大风过程预报准确率均在70%以上。 Based on the wind field data of 19 stations in Shanghai coastal waters in 2016,the wind field quality control methods are studied,including the integrity check,internal consistency check,continuity check,and height correction.Meanwhile,10 stations are selected as observation stations of the wind field forecast verification in 2016,including wind speed error,wind speed accuracy and wind direction verification,and compared the results before and after the quality control of the wind field observation data.Finally,two strong wind processes are verified.The main results are as follow:the forecast verification results become worse with the increase of forecast time;the overall error of wind speed forecast in autumn and winter is small,and that in June and July is larger;the accuracy rate of the 0-5 level wind speed verification is between 0.9 and 1,and the forecast value is larger than observation;the accuracy rate of wind speed forecast above level 6 is gradually reduced,and the forecast value is smaller than that of observation.The wind direction verification shows obvious seasonality;in December and January,the error is small and the accuracy rate is the highest;in June,the error is the largest and the accuracy rate is the lowest.After quality control,the verification results are improved positively;the accuracy rates of the two strong wind processes are all above 70%.
作者 蔡晓杰 戴建华 朱智慧 郭春迓 Cai Xiaojie;Dai Jianhua;Zhu Zhihui;Guo Chunya(Shanghai Marine Meteorological Center,Shanghai 201306;Shanghai Central Meteorological Observatory,Shanghai 200030;Guangdong Meteorological Observatory,Guangzhou 516599)
出处 《气象科技》 2019年第2期214-221,共8页 Meteorological Science and Technology
基金 预报员专项(CMAYBY2018-027) 上海市气象局启明星(QM201805) 气象预报业务关键技术发展专项"发展预报业务检验评估关键技术(YBGJXM(2018)06)"资助
关键词 上海沿岸 风场 质量控制 预报检验 Shanghai coast wind field quality control forecast verification
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