上海沿海站点极大风速预报方程的细化和完善 |
作者:朱智慧1 郑运霞2 过霁冰3 |
单位:1. 上海海洋中心气象台, 上海 201306; 2. 中国气象局上海台风研究所, 上海 200030; 3. 上海市奉贤区气象局, 上海 201416 |
关键词:沿海 精细化 极大风速 预报方程 |
分类号:P732.4 |
|
出版年·卷·期(页码):2022·39·第一期(32-38) |
摘要:
|
利用上海沿海14个站点2012-2019年的观测资料,分析了2 min平均风速和极大风速的关系,对沿海站点极大风速预报方程进行了细化和完善。结果表明:2 min平均风速与极大风速具有近似线性的关系;2 min平均风速和极大风速的关系不是均一分布,各站点极大风速回归方程的回归系数从沿岸到近海基本呈递减趋势;对4级以上的平均风,各站点极大风速回归方程的回归系数随风级增大基本保持不变;独立样本检验结果表明,建立的各站点极大风速回归方程能够较好地用来估计各站点的极大风速;台风影响上海沿海期间与全时间段的极大风速回归方程基本一致。 |
Based on the observation data of 14 coastal stations in Shanghai from 2012 to 2019, the relationship between 2-minute average wind speed and the maximum wind speed is analyzed, and the maximum wind speed prediction equation of coastal stations is refined and improved. The results show that there is an approximate linear relationship between the 2-minute average wind speed and the maximum wind speed. However, the relationship between the 2-minute average wind speed and the maximum wind speed reveals inhomogeneous distribution, and the regression coefficient of the regression equation of the maximum wind speed at each station basically decreases from the coastal to the offshore area. For the average wind over category 4, the regression coefficient of the regression equation of the maximum wind speed at each station is basically unchanged with the increase of wind category. Moreover, the results of independent sample validation show that the established regression equation of the maximum wind speed can be used to estimate the maximum wind speed of each station. The regression equation of the maximum wind speed during the period of typhoons affecting Shanghai coast is basically consistent with that of modeling period. |
参考文献:
|
[1] 于志明, 王驷鹞, 马冬亮. 渤海海洋气象灾害天气分型与预报指标研究[J]. 气象与环境学报, 2018, 34(1):106-111. Yu Z M, Wang S Y, Ma D L. Study on weather classification and forecasting index of marine meteorological disasters in the Bohai sea[J]. Journal of Meteorology and Environment, 2018, 34(1):106- 111. [2] 解以扬, 刘大刚, 吴丹朱, 等. 黄、渤海恶劣天气影响船舶安全的风险预估技术初探[J]. 灾害学, 2014, 29(1):136-143. XIE Y Y, LIU D G, WU D Z, et al. Risk prediction technology of ship safety in the yellow sea and Bohai sea during severe weathers[J]. Journal of Catastrophology, 2014, 29(1):136-143. [3] 于善娟, 刘学萍, 栾东红. 烟台北部海域大风与海难事故分析及预防对策[J]. 中国水运, 2011(6):56. Yu S J, Liu X P, Luan D H. Analysis and preventive countermeasures of gale and shipwreck in the northern sea area of Yantai[J]. China Water Transport, 2011(6):56. [4] 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. Zeng J Y, Han M, Wu X Y, et al. Test and application of WRF, EC and T639 Models in strong wind forecasting in Fujian Coast in winter half year[J]. Marine Sciences, 2015, 39(7):75-85. [5] 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 Forecasts, 2020, 37(6):74-82. [6] 钱磊, 邱学兴, 郑淋淋. 基于概率密度匹配方法的WRF模式阵风风速误差订正[J]. 气象科技, 2019, 47(6):916-926. Qian L, Qiu X X, Zheng L L. Error correction of WRF model gust speed based on probability density function matching method[J]. Meteorological Science and Technology, 2019, 47(6):916-926. [7] 黄海平, 陈伟斌, 黄海洪. 基于主成分分析的北部湾冬季大风预报方法研究[J]. 海洋预报, 2013, 30(6):28-31. Huang H P, Chen W B, Huang H H. Study on the prediction methods of winter gale base on principal component analysis in Beibu Gulf[J]. Marine Forecasts, 2013, 30(6):28-31. [8] 胡波, 杜惠良. 浙江省沿海海面日极大风预报[J]. 海洋预报, 2006, 9:64-67. Hu B, Du H L. Daily maximum wind velocity forecast on the Zhejiang coastal sea surface[J]. Marine Forecasts, 2006, 23(S1):64-67. [9] 陈德花, 刘铭, 苏卫东, 等. BP人工神经网络在MM5预报福建沿海大风中的释用[J]. 暴雨灾害, 2010, 29(3):263-267. Chen D H, Liu M, Su W D, et al. Interpretation and application of BP artificial neural network in MM5 model forecasting gale for coastal regions of Fujian province[J]. Torrential Rain and Disasters, 2010, 29(3):263-267. [10] 涂小萍, 赵声蓉, 曾晓青, 等. KNN方法在11-3月中国近海测站日最大风速预报中的应用[J]. 气象, 2008, 34(6):67-73. Tu X P, Zhao S R, Guan X Q, et al. Application of an updated KNN method to daily maximum wind forecast for coastal weather station from November to March[J]. Meteorological Monthly, 2008, 34(6):67-73. [11] 薛霖. 我国沿海台风大风及其风工程参数特性研究[D]. 北京:中国气象科学研究院, 2018. Xue L. Tropical cyclone-induced strong wind and its engineering parameter characteristics in the coastal areas of China[D]. Beijing:Chinese Academy of Meteorological Sciences, 2018. [12] 陈锦冠, 林少冰. 10分钟平均最大风速与极大风速评估方程的建立[J]. 气象, 2001, 27(10):38-41. Chen J G, Lin S B. Relationship between maximum 10-minute average wind speed and maximum instantaneous wind speed and estimating equation[J]. Meteorological Monthly, 2001, 27(10):38- 41. [13] 汪宏宇, 龚强, 杨洪斌. 基于测风塔数据的最大风速与极大风速关系研究[J]. 气象与环境科学, 2019, 42(3):110-117. Wang H Y, Gong Q, Yang H B. Study on the relationship between maximum and extreme wind speed based on the wind towers data[J]. Meteorological and Environmental Sciences, 2019, 42(3):110- 117. [14] 朱智慧, 黄宁立, 秦婷. 上海沿海极大风速预报方程的建立和应用[J]. 海洋预报, 2014, 31(1):58-62. Zhu Z H, Huang N L, Qin T. Establishment and application of extreme wind speed prediction equation in Shanghai coastal area[J]. Marine Forecasts, 2014, 31(1):58-62. [15] 金龙. 神经网络气象预报建模理论方法与应用[M]. 北京:气象出版社, 2004, 39-47. Jin L. Theory, method and application of neural network weather forecast modeling[M]. Beijing:China Meteorological Press, 2004:39-47. [16] 周福, 蒋璐璐, 涂小萍, 等. 浙江省几种灾害性大风近地面阵风系数特征[J]. 应用气象学报, 2017, 28(1):119-128. Zhou F, Jiang L L, Tu X P, et al. Near-surface gust factor characteristics in several disastrous winds over Zhejiang province[J]. Journal of Applied Meteorological Science, 2017, 28(1):119- 128. |
服务与反馈:
|
【文章下载】【发表评论】【查看评论】【加入收藏】
|
|
|