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基于自动站资料的海上风客观预报方法 被引量:11

An objective forecast method on sea wind based on data from automatic weather stations
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摘要 根据辽宁省沿海自动站资料,采用卡尔曼滤波方法对沈阳区域气象中心MM5中尺度数值预报产品进行解释应用,制作环渤海及邻近海域海面最大风矢量预报的技术方法,对2009年8—12月预报结果进行检验。结果表明:海上最大风矢量预报结果中风速的预报要明显好于风向的预报,其中风向预报最好的海区为黄海北部,准确率为57.3%;风速预报最好的海区为渤海中部,准确率为64.6%;风速误差以正误差为主,说明风速预报值与实况值相比偏大。该方法对于环渤海及邻近海域海上风的预报效果较好,能够比较真实地反映海上风演变过程,具有预报参考价值。 Utilizing wind speed and wind direction data from automatic weather stations along the coast in Liaoning province, mesoscale numerical prediction products from the MM5 model in Shenyang regional meteorological cen- ter were applied by a Kalman filtering method. A forecast method on the maximum wind vector along the Bohai Sea and the surrounding sea area was developed. The forecast results from August to October of 2009 were tested. It is seen that the forecast accuracy of the maximum wind vector is higher for wind speed than for wind direction. The forecast accuracy of wind direction is highest in the north of the Huanghai Sea and reaches 57.3 %, while that of wind speed is in the middle of the Bohai Sea and it is 64. 6%. Most errors of wind speed are positive,and it means that the forecast value is higher than the observational value. This method is good for sea wind forecast in the Bohal Sea and the neighbor sea area. This forecast method could reflect truly the evolution process of sea wind, and it could provide references for the corresponding forecast.
出处 《气象与环境学报》 2013年第1期84-88,共5页 Journal of Meteorology and Environment
基金 中国气象局公益性(气象)行业专项"黄渤海高影响天气预报中的关键技术研究"(GYHY201106006)资助
关键词 自动站资料 卡尔曼滤波 环渤海区域 海上风 Automatic weather station data Kalman filter The Bohai region Sea wind
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