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Characteristics of cold wave activities in Beijing-Tianjin-Hebei region from 1961 to 2017
LI Hongying, LIN Shu, WANG Yunpeng, HUANG Pengcheng, YU Yanan
Journal of Arid Meteorology    2022, 40 (1): 41-48.   DOI: 10.11755/j.issn.1006-7639(2022)-01-0041
Abstract1291)   HTML13)    PDF(pc) (1866KB)(1636)       Save

Based on the daily minimum temperature and precipitation data from 126 meteorological observation stations in Beijing-Tianjin-Hebei (BTH) region from 1961 to 2017, the spatial and temporal characteristics of occurrence frequency of cold wave, and dry and wet characteristics of regional cold wave were analyzed by using defined discriminant index of dry and wet. The results are as follows: (1) The averageannual frequency of cold wave in BTH was more in the northwest than in the southeast, and 86% of the stations showed a decreasing trend in annual frequency of cold wave. (2) The accumulative occurrence station times of cold wave from 1961 to 2017 showed a significant decreasing trend (P<0.001) with a climate tendency rate of -5.7 station times per year and it mutated in 1983. The accumulative occurrence station times of cold wave from 1961 to 1971 reached a peak, it decreased sharply since 1972. The average accumulative occurrence station times of cold wave from 2007 to 2017 was the lowest in history. (3) The inter-annual variation of occurrence frequency of regional cold wave from 1961 to 2017 showed a decreasing trend with a climate tendency rate of -0.282 per decade. The frequency of regional cold wave was most in winter of 1960s, it was most in autumn and spring of 1970s, it reached the second peak in winter and spring of 2000s, and it was least in three seasons during 2011-2017. The frequency of regional cold wave was most in autumn, followed by winter and it was least in spring; the cold wave was most active in October and November. (4) The dry process was most in regional cold wave processes in BTH. From 2011 to 2017, the dry and wet characteristics of regional cold wave process showed the polarization distribution of dry process and wet process.

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