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作 者:李峻峰 赵瑾[2] LI Junfeng;ZHAO Jin(Hefei University of Technology,Hefei 230601,China;Anhui University,Hefei 230039,China)
机构地区:[1]合肥工业大学,安徽合肥230601 [2]安徽大学,安徽合肥230039
出 处:《气象与环境学报》2023年第5期53-61,共9页Journal of Meteorology and Environment
基 金:国家自然科学基金项目(51808440)资助。
摘 要:长时间尺度的数值模拟可以更为全面地描述室外热环境的特征及变化规律,具有重要的理论和实践意义。当前在模拟中输入的气象数据主要是经由Finkelstein-Schafer(FS)统计方法或主成分分析法生成的典型气象日,其数据连续性不足,不利于描述模拟场景。节气知识起源于中国黄河中下游地区,将节气知识与FS方法相结合,选出具有气象代表性的典型节气日,加工后可生成用于长时间尺度室外热环境模拟的节气日典型气象日(Solar Terms Typical Meteorological Day,STTMD)气象要素数据序列。研究分别以1981—2010年及1991—2020年的气象观测数据为基础,生成了郑州、济南等8个站点的STTMD气象要素数据序列,并对该数据的气象代表性和适用范围进行了分析。结果表明:该数据在黄河中下游地区具有较为准确的气象表征,可以大幅简化长时间尺度的数值模拟工作,并具备进一步加工深化及延伸应用的可能。研究也发现,对于黄河中下游之外的区域,该数据的物候意义不够准确。Long-term numerical simulation can describe the characteristics and change rules of outdoor thermal environments more comprehensively,which has an important theoretical and practical significance.At present,the meteorological data input in the simulation is mainly the typical meteorological days generated by the Finkelstein-Schafer(FS)statistical method or principal component analysis method,which is not continuous enough to describe the simulation scene.The solar term knowledge originates from the middle and lower reaches of the Yellow River in China.By combining the solar terms knowledge with the FS method,the typical solar terms with meteorological representative days are selected,and the solar term′s typical meteorological days(STTMD)can be generated for long-term outdoor thermal environment simulation.Based on the meteorological observation data from 1981 to 2010 and 1991 to 2020,the STTMD meteorological element data series of eight stations such as Zhengzhou and Ji′nan are generated,and the meteorological representation and application scope of the data were analyzed.The results show that the data has more accurate meteorological characterization in the middle and lower reaches of the Yellow River,which can greatly simplify the numerical simulation of long term,and has the possibility of further deepening and extending application.It is also found that the phenological significance of the data is not accurate enough for regions outside the middle and lower reaches of the Yellow River.
分 类 号:P49[天文地球—大气科学及气象学]
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