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深切峡谷风特性中尺度模拟和实测OA

Mesoscale simulation and observation of wind features in a steep valley

中文摘要英文摘要

针对雅鲁藏布江深切峡谷,采用现场实测和中尺度天气研究与预报模式(WRF)研究了近地风速、风向、温度和压力的整月变化,分析了气象参数的剖面和平面特征,对比了ERA5、ERA-Interim和FNL三种再分析资料对风场模拟精度的影响.三种再分析资料均能较好地再现风速的变化趋势,其中ERA5算例与实测风速的相关性最高,误差最低,对风速昼夜变化的模拟效果最好,并能较好地预测强风的时刻和大小.受热力和局部地形影响,山谷风特征突出,强风和中性大气多出现在日落附近时间,日出附近则多为弱风和稳定成层状态.常态山谷风的风向受地形限制,而大尺度强对流天气使近地风向同地形的相关性不显著.

For the steep Yarlung Zangbo River Valley,site observations and the mesoscale weather research and forecasting model(WRF)were used to investigate the month-long variations in surface wind speed,wind direction,temperature,and pressure.The profiles and horizontal distributions of meteorological parameters were analyzed.The impacts of three reanalysis datasets—ERA5,ERA-Interim,and FNL—on the precision of wind simulation were discussed.The variation trends of wind speed were effectively predicted using each of the reanalysis datasets.The ERA5 case had the best correlation and the smallest error coefficients to the observation wind speed.The ERA5 case effectively captured the diurnal change of wind speed and can predict the time and magnitude of strong winds.Due to the thermal and terrain effects,the valley wind pattern is significant.Strong winds and neutral air conditions were observed around sunsets,while weak winds and stable air stratifications occurred around sunrises.The wind direction was more constrained by topography in typical valley winds.Large-scale severe convective weather events,however,reduced the correlation between wind direction and topography.

董浩天;张宇歌;邹云峰;陶韬;杜晓庆

上海大学 力学与工程科学学院,上海 200444||上海大学 高性能桥梁研究中心,上海 200444上海大学 力学与工程科学学院,上海 200444中南大学 土木工程学院,湖南 长沙 410075安徽工程大学 建筑工程学院,安徽 芜湖 241000上海大学 力学与工程科学学院,上海 200444||上海大学 高性能桥梁研究中心,上海 200444

建筑与水利

桥址风特性山谷风青藏高原天气研究与预报模式(WRF)现场实测数值模拟

wind features at bridge sitesvalley windQinghai-Tibet Plateauweather research and forecasting model(WRF)site observationnumerical simulation

《湖南大学学报(自然科学版)》 2026 (5)

43-52,10

国家自然科学基金资助项目(52008239,52308474),National Natural Science Foundation of China(52008239,52308474)福建省住建厅科学技术计划资助项目(2025-K-19),Fujian Provincial Housing and Urban-Rural Development Science and Technology Project(2025-K-19)

10.16339/j.cnki.hdxbzkb.2026041

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