主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2023, Vol. 39 ›› Issue (5): 53-61.doi: 10.3969/j.issn.1673-503X.2023.05.007

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Generation of meteorological element sequence for typical meteorological days of solar terms for long-term outdoor thermal environment simulation

Junfeng LI1(),Jin ZHAO2   

  1. 1. Hefei University of Technology, Hefei 230601, China
    2. Anhui University, Hefei 230039, China
  • Received:2022-04-28 Online:2023-10-28 Published:2023-11-28

Abstract:

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.

Key words: Outdoor thermal environment simulation, Typical meteorological days of solar terms, Long-term

CLC Number: