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青岛奥帆赛高分辨率数值模式系统研制与应用
引用本文:苗世光,孙桂平,马艳,徐晓亮,王晓云,林行,蒋维楣,刘红年,张宁,孙林,王耀庭.青岛奥帆赛高分辨率数值模式系统研制与应用[J].应用气象学报,2009,20(3):370-379.
作者姓名:苗世光  孙桂平  马艳  徐晓亮  王晓云  林行  蒋维楣  刘红年  张宁  孙林  王耀庭
作者单位:1.中国气象局北京城市气象研究所, 北京 100089
基金项目:青岛市气象局奥帆赛气象服务研发课题专项和国家自然科学基金 
摘    要:该文初步建立了青岛奥帆赛高分辨率数值模式系统(包括预报模式和释用模式)。预报模式基于Weather Research & Forecast(WRF)模式V3.0,模式设计为网格数60×50×38,水平分辨率500 m。在IBM小型机上用8个线程作15 h预报所需机时约为1 h 20 min,可满足实时业务预报需要。利用高分辨率边界层模式和城市小区尺度模式对该预报结果进行了动力释用(水平分辨率分别为100 m和10 m)。该模式系统于2008年夏季进行了实时运行试验,模式产品在北京奥运气象服务中心青岛分中心使用。结果表明:该模式系统有较强的稳定性和实用性,对城市热岛、海陆风、地形及建筑物影响等局地环流特征有较好的模拟效果。数值试验分析表明:城市化引起城市热岛效应,增大了海陆温差,使海风加强;城市建筑物拖曳作用使风速减小,从而使海风推进速度减缓;精细下垫面资料的引入对海风等局地环流高分辨率数值模拟至关重要。

关 键 词:青岛奥帆赛    高分辨率数值模式系统    WRF模式    动力释用    城市化
收稿时间:2008-09-23

The Development of High Resolution Numerical Model System for Qingdao Olympic Sailing Competition
Miao Shiguang,Sun Guiping,Ma Yan,Xu Xiaoliang,Wang Xiaoyun,Lin Hang,Jiang Weimei,Liu Hongnian,Zhang Ning,Sun Lin and Wang Yaoting.The Development of High Resolution Numerical Model System for Qingdao Olympic Sailing Competition[J].Quarterly Journal of Applied Meteorology,2009,20(3):370-379.
Authors:Miao Shiguang  Sun Guiping  Ma Yan  Xu Xiaoliang  Wang Xiaoyun  Lin Hang  Jiang Weimei  Liu Hongnian  Zhang Ning  Sun Lin and Wang Yaoting
Institution:1.Institute of Urban Meteorology, China Meteorological Administration, Beijing 1000892.Qingdao Meteorological Service, Qingdao 2660033.Department of Integrated Observations, China Meteorological Administration, Beijing 1000814.Department of Atmospheric Sciences, Nanjing University, Nanjing 2100935.School of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266510
Abstract:In order to improve the skill of weather forecast and provide better meteorological service for Olympic Sailing Competition, high resolution numerical model system for Qingdao Olympic Sailing Competition (including forecast model and interpretation models) is developed.Based on Weather Research & Forecast (WRF) Model Version 3.0, a forecast model is set up with gird of 60×50×38 and horizontal resolution of 500 m. It takes about 1 hour and 20 minutes to produce 15-hour forecast on an IBM computer with 8 threads, which meets the requirement of operational forecast. Dynamic interpretations to the forecast results are carried out with the aid of a high resolution Planetary Boundary Layer Model (PBLM) and an Urban Neighborhood Scale Model (UNSM) (with the horizontal resolution of 100 m and 10 m respectively).This model system runs continuously during the summer of 2008, and the model products are used in Qingdao Branch of Beijing Olympic Meteorological Service Center. Results show that, the model system is robust and practical, and performs quite well on the simulation of urban heat island and local circulations (e.g., sea-land breeze and terrain/building effects). Analyses of numerical cases indicate that urbanization leads to urban heat island, increases sea-land temperature difference, and strengthens sea-breeze. Mean-while the drag effect of urban building decreases the wind speed, and slows down the advance of sea-breeze. The introducing of fine underlying surface data is critical to high resolution numerical simulation of local circulations (e.g., sea-breeze).The dynamic interpretation to the forecast results with the aid of a high resolution PBLM with the horizontal resolution of 100 m indicates that, generally PBLM could simulate the wind field and the effects of surrounding terrain very well. The PBLM results are consistent with the observations from buoys and automatic weather stations, and have similar charaeteristies with Lidar observations. Further fine-scale dnamic interpretation in terms of UNSM with the horizontal resolution of 10 meters shows that UNSM could well simulate the wind in urban blocks. So the dynamic interpretations based on the terrain-following coordinate PBLM and the build-aware UNSM are effective to simulate the effect of local terrain and buildings on the wind in interest venues.
Keywords:Qingdao Olympic Sailing Competition    high resolution numerical model system    Weather Research & Forecast (WRF) Model    dynamic interpretation    urbanization
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