摘要:
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欧洲中期天气预报中心(简称EC)的10 m风场数据在沿海有较高的参考性和使用频率,但尚未有研究系统地针对不同海域对该数据进行评估。本文利用EC预报的10 m风场数据,与中国近海22个浮标的10 m风场结果进行对比,检验EC 10 m风场预报性能,并挑选3个经过浮标点位的台风和两次典型的冷空气大风过程,检验其在台风和冷空气过程下的预报性能。结果表明:EC预报数据与浮标实测风速的相关性总体较好。在风力小于4级时,EC 10 m风速预报数据偏大,在风力大于4级时,预报数据偏小,在风力等级为3~5级时,预报数据较为准确。在不同风向条件下,EC预报10 m风向的平均误差大部分在0°~20°。风力等级越小,风向预报偏差越大,反之预报偏差越小。EC预报数据对于台风引起的风向变化有较好的反应,且风速较低时,风速预报数据表现较好,而对于台风最大风速值的预报则存在较大误差。EC预报结果能较好地反映两次冷空气过程引起的风向变化。风速越小,EC预报的误差也越小,随着风力等级的增大,预报误差明显增大。EC对大风的风速预报偏小,误差偏大。 |
The 10 m wind field data provided by the European Center for Medium-Range Weather Forecasts(EC) has a high significance for reference and is frequently used in the coastal areas, but there is no systematic assess to the data quality in different coastal areas. This paper uses the 10 m wind observations collected by 22buoys in China's offshore waters to evaluate the EC 10 m wind forecasts, including three typhoons and two typical cold air processes recorded by buoys. The results show that:The correlation between the EC wind forecasts and the measured wind speed is generally good. EC forecasts larger 10 m wind speed when the wind level is lower than 4, and EC forecasts smaller 10 m wind speed when the wind level is higher than 4, while when the wind level is 3~5, EC forecasts relative accurate 10 m wind speed. Mean error of 10 m wind direction forecasts is between 0°~20°. Error of wind direction forecasts is larger when the wind level is lower,and visa versa. EC 10 m wind forecasts have a good response to the wind direction change caused by typhoons,and the wind speed forecasts perform well when the wind speed is low, however, there is a large error in the maximum wind speed forecasts. EC 10 m wind forecasts can correctly predict the wind direction change caused by the two cold air processes. The smaller the wind speed, the smaller the error in the EC forecasts. Along with the increase of wind level, the forecast error increases significantly. EC wind speed forecasts are small when actual wind speed is large, so the error is also large. |
参考文献:
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[1] 刘桂艳,连喜虎,高松,等. WRF模式对渤海和黄海海面风预报误差分析[J].防灾科技学院学报, 2023, 25(1):40-48.LIU G Y, LIAN X H, GAO S, et al. Analysis of sea surface wind prediction error in the Bohai Sea and the Yellow Sea by WRF model[J]. Journal of Institute of Disaster Prevention, 2023, 25(1):40-48. [2] 杨亮.基于遥感数据的西北太平洋海面风场时空特征分析[D].青岛:国家海洋局第一海洋研究所, 2007.YANG L. Temporal and spatial characteristics analysis of sea surface wind on the Northwest Pacific based on remote sensing data[D]. Qingdao:The First Institute of Oceanography of the National Oceanic Administration, 2007. [3] 张新玲,吴增茂.渤海海上测风与沿岸实测风的对比分析[J].海洋预报, 1998, 15(4):24-31.ZHANG X L, WU Z M. Comparing analyses of the observations of sea and coastal wind of Bohai[J]. Marine Forecast, 1998, 15(4):24-31. [4] 毛绍荣,林镇国,梁健,等.广东沿海强东北季风的概率预报方法[J].热带气象学报, 2003, 19(1):94-100.MAO S R, LIN Z G, LIANG J, et al. The probability forecast technique on strong Northeast monsoon along the coast of Guangdong[J]. Journal of Tropical Meteorology, 2003, 19(1):94-100. [5] 凌铁军,张蕴斐,杨学联,等.中尺度数值预报模式(MM5)在海面风场预报中的应用[J].海洋预报, 2004, 21(4):1-9.LING T J, ZHANG Y F, YANG X L, et al. The application of MM5 model to Predict Sea surface wind field[J]. Marine Forecast,2004, 21(4):1-9. [6] 周伟隆,陈往溪,肖巍.粤东海面冷空气强风的统计分析与预报[J].广东气象, 2005(4):20-22.ZHOU W L, CHEN W X, XIAO W. Statistical analysis and prediction of cold air related strong wind over East Guangdong Coastal Water[J]. Guangdong Meteorology, 2005(4):20-22. [7] 陈豫英,陈晓光,马金仁,等.风的精细化MOS预报方法研究[J].气象科学, 2006, 26(2):210-216.CHEN Y Y, CHEN X G, MA J R, et al. A study on subtle MOS forecasting method of wind[J]. Scientia Meteorologica Sinica,2006, 26(2):210-216. [8] LEUTBECHER M, LOCK S J, OLLINAHO P, et al. Stochastic representations of model uncertainties at ECMWF:state of the art and future vision[J]. Quarterly Journal of the Royal Meteorological Society, 2017, 143(707):2315-2339. [9] 万夫敬,赵传湖,梅婵娟,等. EC细网格2 m气温产品在山东地区预报性能检验[J].海洋湖沼通报, 2022, 44(3):22-30.WAN F J, ZHAO C H, MEI C J, et al. Verification of 2 m temperature prediction ability of EC fine grid model in Shandong[J]. Transactions of Oceanology and Limnology, 2022, 44(3):22-30. [10] 赵杰,陈波,莫乙冬,等. EC细网格对黔南州温度预报的订正研究[J].中低纬山地气象, 2022,(1):79-85.ZHAO J, CHEN B, MO Y D, et al. Correction of temperature prediction by EC fine grid in Qiannan prefecture[J]. Mid-Low Latitude Mountain Meteorology, 2022, 46(1):79-85. [11] 吴俞,冯文,李勋,等. ECMWF细网格10m风场产品在南海海域的预报检验[J].西南师范大学学报(自然科学版), 2015, 40(9):204-212.WU Y, FENG W, LI X, et al. On forecast test of ECMWF 10m wind field products in South China Sea[J]. Journal of Southwest China Normal University(Natural Science Edition), 2015, 40(9):204-212. [12] 常奋华,林艳,于子敏.福建沿海多模式风速预报的检验[J].海峡科学, 2022(2):34-39.CHANG F H, LIN Y, YU Z M. Test of multi-mode wind speed prediction along Fujian coast[J]. Straits Science, 2022(2):34-39. [13] 连喜虎,刘桂艳,高松,等. EC细网格10m风场产品在渤、黄海海域的预报能力检验与评估[J].海洋预报, 2020, 37(6):74-82.LIAN X H, LIU G Y, GAO S, et al. Evaluation of the ECMWF forecast skills for the 10 m wind field in the Bohai Sea and the Yellow Sea[J]. Marine Forecast, 2020, 37(6):74-82. |
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