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浙江省几种灾害性大风近地面阵风系数特征
引用本文:周福,蒋璐璐,涂小萍,申华羽,郑铮.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.
作者姓名:周福  蒋璐璐  涂小萍  申华羽  郑铮
作者单位:1.浙江省宁波市气象局, 宁波 315012
基金项目:资助项目: 浙江省自然科学基金项目(LY15D050001),浙江省宁波市科技计划项目(2012C50044),浙江省气象科技计划项目(2014QN13)
摘    要:阵风特性研究是大风预报和服务的基础。基于2011-2013年浙江省自动气象站逐日逐10 min测风资料,分析了浙江省陆地和近海海面冷空气、热带气旋和强对流大风的阵风系数特征。结果表明:冷空气和热带气旋大风阵风系数空间分布基本相同,大风主要发生在近海海面和沿海地区,海面阵风系数一般小于1.5,等值线平行于海岸线且自西向东逐渐减小,陆地阵风系数一般大于2.0,山区可超过3.0,表现出地形对阵风系数的增强作用。强对流大风阵风系数明显高于业务规范平均值,发生地点遍及浙江省各地,但发生概率超过10%的站点主要位于沿海地区和近海海面。风向基本不影响阵风系数空间分布。冷空气和热带气旋站点阵风系数与海拔高度有较高正相关性。模糊聚类分析发现:浙江省400 m以上山区站与70 m以下的低海拔站点在阵风系数特征上分属不同空间类型;基于逐步回归建立站点阵风系数预报模型,检验表明:模糊聚类可帮助提高模型阵风系数预报能力。

关 键 词:阵风系数    冷空气    热带气旋    强对流    模糊聚类
收稿时间:2016/5/20 0:00:00
修稿时间:2016/11/7 0:00:00

Near surface Gust Factor Characteristics in Several Disastrous Winds over Zhejiang Province
Institution:1.Ningbo Meteorological Bureau of Zhejiang Province, Ningbo 3150122.Ningbo Collaborative Innovation Center of Nonlinear Hazard System of Ocean and Atmosphere, Ningbo 3152113.Zhejiang Institute of Meteorological Sciences, Hangzhou 310008
Abstract:Studies on near-surface gust characteristics in high winds are necessary for weather services. Using the daily 10 min data from automatic weather stations in Zhejiang Province during 2011-2013, characteristics of near-surface gust factors in several kinds of high winds caused by cold air masses, tropical cyclones and abruptly severe convections, are investigated over the offshore and in-land areas of Zhejiang Province. Spatial distributions of wind velocities and gust factors are especially considered, as well as the relationship among gust factors, geographical elements and mean wind speeds. The fuzzy cluster mean (FCM) and stepwise regression methods are applied as well to do the weather station clusters under different weather patterns and set up gust factor forecast models. Result shows that the gust factor distribution displays similarly both in cold air and tropical cyclone strong winds although spatial speed distributions might be different from each other, and wind directions show no effects on gust factor distributions. Disastrous winds usually happen over the offshore seas and coastal areas, with gust factors less than 1.5 and the isolines paralleling to the coastline and descending eastwards. However, over in-land areas of Zhejiang Province, gust factors are generally greater than 2.0 and even more than 3.0 over the hilly regions with gentle wind speeds, indicating enhancing effects of hilly terrain. The average gust factor is more than 1.8 under severe convective systems, which is greater than operational regulations. The convective gale events could occur at any locations within Zhejiang Province, but stations with occurring probabilities more than 10% mainly lay in the coastal and offshore Zhejiang Province, and the terrain roughness doesn't show much influence. Gust factors perform well related to 10 min mean wind speeds and altitudes in high winds by cold air masses and tropical cyclones. FCM analysis indicates that there are few differences in station distributions between clod air mass and tropical cyclone gale events, stations located in the northern and coastal regions often differ from those in the middle and southern areas in Zhejiang Province, and stations with altitudes more than 400 m are different from those with altitudes lower than 70 m. Stepwise regression is carried out to set up forecasting models between gust factors and mean winds and station altitudes before and after FCM clusters, verifications imply that FCM could help improve forecast ability of the models. The regression model for type Ⅰ tends to overestimate gust factors at stations with relative high altitudes, on the contrary, the model for type Ⅱ tends to underestimate gust factors at stations with relative low altitudes.
Keywords:gust factors  cold air masses  tropical cyclones  severe convections  fuzzy cluster mean
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