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 (6): 105-111.doi: 10.3969/j.issn.1673-503X.2023.06.013

• Articles • Previous Articles    

Analysis of annual climate and assessment of integrated annual climate from 1961 to 2020 in Liaoning province

Yitong LIN1,2(),Xiaoyu ZHOU1,*(),Chunyu ZHAO1,2,Qian LI1,2,Yihe FANG1,2,Rong LIN1,Dajun WANG1   

  1. 1. Shenyang Regional Climate Center, Shenyang 110166, China
    2. Key Opening Laboratory for Northeast China Cold Vertex Research, Shenyang 110166, China
  • Received:2022-05-31 Online:2023-12-28 Published:2024-01-27
  • Contact: Xiaoyu ZHOU E-mail:476601374@qq.com;xiaoyuz80@sina.com

Abstract:

The data from 61 national meteorological stations in Liaoning province from 1961 to 2020 was selected, covering 60 years of daily precipitation, temperature, and weather phenomena. Based on the climatic characteristics of Liaoning province, evaluation indices for flood, drought, cold, heat, and blizzard climate conditions were established, and an integrated annual climate assessment model for Liaoning province was constructed. This model enables quantitative assessments of individual climate factors such as flood, drought, low temperature, high temperature, and blizzard, as well as an integrated annual climate assessment. The results indicate that over the past 60 years, the appearance of high-temperature years in Liaoning province has significantly intensified, while cold-weather and blizzard years have significantly weakened. There are no significant trends for the appearance of drought and heavy rainfall years. The comprehensive climate outlook shows a decadal oscillation cycle of about 15 years, with a significant quasi-3-year interannual oscillation cycle since the 1980s. Verification of the assessment results through historically significant meteorological and climate events, disaster occurrence, and practical applications in operations indicates that the established annual climate assessment method is reasonable and can be used for monitoring and evaluating the climate outlook in Liaoning province.

Key words: Climate evaluation, Entropy weight method, Climate anomaly

CLC Number: