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中国典型沿海地区风速风向廓线模型研究

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在激光大气传输等工程应用中,风速、风向是影响大气光学特性的参数。分析了球载无线电探空长期数据,探讨了中国5个典型沿海地区风速、风向的变化规律,给出了风速、风向平均廓线和相应高度统计不确定度;建立了风速、风向廓线模型函数,并借助遗传算法确定了拟合系数。结果表明:5个典型沿海地区的风速廓线主要分为两类形态,风向廓线主要分为三类形态;所建立的风速、风向模型与探空数据平均廓线的平均相对偏差分别小于3。29%和2。70%;风速、风向不确定度均具有季节、地区变化特征。所建立的模型能够服务于激光大气传输等工程应用。
Wind Speed and Direction Profile Models in Typical Coastal Areas of China
Objective Wind speed and direction exert an important influence on atmospheric optical properties,and their vertical distribution and variation laws are of significance in astronomical observation,adaptive optics,and laser atmospheric propagation.Meanwhile,strong wind shear can trigger turbulence,and the transverse wind is closely related to thermal blooming.Since the natural environment is complex and changeable,wind speed and direction vary in different regions.Therefore,local wind speed and direction models should be established in practical applications.Due to the low accuracy of existing wind speed profile models and the lack of wind direction profile models,we analyze the variations of wind speed and direction in typical coastal areas of China,and propose novel wind speed and direction model functions respectively.We hope that the proposed wind speed and direction profile models are helpful to the design of adaptive optical systems,laser atmospheric propagation engineering,and free space optical communication.Methods First,by analyzing the daily data of 50 years of radiosonde data in typical coastal areas of China,the monthly average wind speed and direction profiles are obtained to study the monthly variation characteristics.Then,according to the monthly variation characteristics,the months in each season are adjusted,and the seasonal average profiles are acquired by statistically calculating daily data,with standard deviation at the corresponding height given.According to the seasonal average profiles,the coefficients of the model functions are obtained by genetic algorithm.Further,taking the average profile as the standard,the proposed models are compared with the existing models to verify that the accuracy of the proposed model is improved.Next,the standard deviation is adopted as uncertainty to analyze the variation characteristics of uncertainty with height.Results and Discussions 1)According to the variation characteristics of monthly average profiles of typical coastal areas in China,the wind speed profiles are divided into two types(Fig.1),and the wind direction profiles are divided into three types(Fig.2).2)The seasonal average profiles of wind speed show that the tropopause wind speed is generally high in winter and low in summer in the middle latitudes.The wind speed near 20 km at Dalian and Qingdao decreases to the minimum in summer,but the same phenomenon appears in winter at Xiamen and Xisha Islands.3)Employing the genetic algorithm,we obtain the fitting coefficients of the wind speed and wind direction model functions in different seasons(Tables 5 and 6).4)The established wind speed models are closely consistent with the average profiles,and the accuracy is significantly improved compared with existing wind speed models(Figs.4-8).The average relative deviations of established wind speed models of four seasons in Dalian are 1.35%,1.54%,1.12%,and 0.79%,respectively.While those are 2.92%,2.50%,3.29%,and 3.21%in Qingdao,2.28%,1.18%,1.06%,and 1.96%in Shanghai,1.82%,1.17%,2.56%,and 1.66%in Xiamen,2.80%,0.90%,0.98%,and 3.16%in Xisha Islands,respectively.5)The established wind direction profile models are closely consistent with the average profiles(Figs.9-13).The average relative deviations of established wind direction models of four seasons in Dalian are 0.53%,1.56%,0.67%,and 0.44%respectively.While those are 0.82%,1.30%,0.56%,and 0.59%in Qingdao,0.48%,0.78%,1.25%,and 1.07%in Shanghai,0.95%,1.06%,1.71%,and 1.81%in Xiamen,0.87%,1.04%,0.69%,and 2.70%in Xisha Islands,respectively.6)The variation trend of wind speed uncertainty is different from that of wind direction.The uncertainty of wind speed is generally the largest at the tropopause,while the uncertainty of wind direction is the smallest near the tropopause in Dalian and Qingdao,and the uncertainty of wind direction is more varied in other areas.However,the uncertainties of wind speed and wind direction have seasonal and regional varying characteristics.Conclusions 1)In typical coastal areas of China,the wind speed profiles are divided into two types,and the wind direction profiles are divided into three types.2)In our study,wind speed and direction vary with regions,months,and seasons.For optical engineering applications such as laser atmospheric propagation,the adoption of wind speed and direction models in local regions and corresponding seasons is more accurate.3)The proposed wind speed and direction model functions are universal in the typical coastal areas of China.The wind speed and direction profile models established in this paper have higher accuracy than the existing models.The mean relative deviation of wind speed is less than 3.29%,and that of wind direction is less than 2.70%.4)The statistical uncertainties of wind speed and direction have seasonal and regional characteristics.

atmospheric opticsprofile modelgenetic algorithmwind speedwind direction

闵令云、陈小威、翁宁泉、朱文越、钱仙妹、武鹏飞、戴聪明、李学彬、崔生成、崔询

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安徽大学物质科学与信息技术研究院,安徽合肥 230601

中国科学院合肥物质科学研究院安徽光学精密机械研究所,中国科学院大气光学重点实验室,安徽合肥 230031

国防科技大学南湖之光实验室,湖南长沙 410073

先进激光技术安徽省实验室,安徽合肥 230037

中国科学技术大学环境科学与光电技术学院,安徽合肥 230026

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大气光学 廓线模型 遗传算法 风速 风向

脉冲功率激光技术国家重点实验室主任基金中国科学院国防科技重点实验室基金中国科学院合肥研究院院长基金

SKL2020ZR08CXJJ-21S028YZJJ2021QN08

2024

光学学报
中国光学学会 中国科学院上海光学精密机械研究所

光学学报

CSTPCD北大核心
影响因子:1.931
ISSN:0253-2239
年,卷(期):2024.44(12)