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Arid Land Geography ›› 2026, Vol. 49 ›› Issue (6): 1147-1156.doi: 10.12118/j.issn.1000-6060.2025.416

• Climatology and Hydrology • Previous Articles     Next Articles

Identification and change characteristics of compound low temperature and rainfall events of spring in the eastern Hexi Corridor

YANG Xiaoling1,2(), ZHAO Huihua1(), SHI Zhengrong1, ZHOU Hua1, DING Wenkui1, CHEN Jing1   

  1. 1 Wuwei National Climate Observation Platform, Wuwei 733099, Gansu, China
    2 Lanzhou Institute of Arid Meteorology of China Meteorological Administration, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Key Open Laboratory of Arid Climatic Change and Disaster Reduction of CMA, Lanzhou 730020, Gansu, China
  • Received:2025-07-23 Revised:2025-07-29 Online:2026-06-25 Published:2026-06-29
  • Contact: ZHAO Huihua E-mail:wwqxj6150343@163.com;18993533791@163.com

Abstract:

Compound low-temperature and rainfall (CTLR) events are among the complex, high-incidence climate extremes occurring in the eastern Hexi Corridor. They are important climate indicators and meteorological disasters that cause more severe damage to agricultural production and the ecological environment than single extreme climate events. Based on daily minimum temperature and precipitation data from five meteorological stations (spring of 1960—2024) in the eastern Hexi Corridor, CTLR events were identified and characterized via the percentile threshold method and the principle of maximum proximity. Spatiotemporal characteristics of CTLR events were subsequently analyzed using the inverse distance weighting interpolation and linear trend methods. The results show the following: (1) Springtime and March-May CTLR events in the region assumed distribution characteristics of more in the south, less in the north, ranked by frequency as Gulang>Tianzhu>Liangzhou> Yongchang>Minqin. High-frequency areas were clustered in the Gulang shallow mountainous area, whereas the Minqin desert area served as the low-frequency area. (2) Spring, as well as March and April CTLR events showed decadal and annual decreases, whereas May showed a nonmonotonic trend, increasing first before decreasing. Peak CTLR frequency years (spring and monthly) varied across regional and local scales, and CTLR absences were recorded in individual years. This provides an important scientific basis and practical reference for agricultural production and ecological security.

Key words: identification, change characteristics, compound low temperature and rainfall events, percentile threshold method, Hexi Corridor