Climate Change Research ›› 2018, Vol. 14 ›› Issue (4): 362-370.doi: 10.12006/j.issn.1673-1719.2017.198

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Spatial heterogeneity of temperature extremes in the Qinling-Daba Mountains region in 1975-2016

Wei XIANG1,Zhi-Gang CHENG1(),Bo-Tao ZHOU2,3,Xin BIN1,Dong-Lei FENG1,4   

  1. 1 College of Atmospheric Sciences, Chengdu University of Information Technology and The Key Laboratory of Plateau Atmosphere and Environment of Sichuan Province, Chengdu 610225, China
    2 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
    3 National Climate Center, China Meteorological Administration, Beijing 100081, China
    4 Huanren Manchu Autonomous County Meteorological Burea, Benxi 117200, China
  • Received:2017-09-25 Revised:2018-02-10 Online:2018-07-30 Published:2018-07-30
  • Contact: Zhi-Gang CHENG


Based on the daily temperature data of 88 meteorological stations in the Qinling-Daba Mountains from 1975 to 2016 and the 16 extreme temperature indices, the spatial distribution of extreme temperature thresholds and the elevation dependence of extreme temperature events were analyzed. The results show that there exist obvious differences in spatial distribution of the extreme temperature threshold, it shows that the cold extreme temperature threshold reduces from the northwest to the southeast while the hot one is opposite. On the whole, the increase of warm extreme events (SU25、TR20、TX90P、TN90P、WSDI) are greater than the decrease of cold events (FD0、ID0、TX10P、TN10P、CSDI) in range. The trend of frost days, cool nights, summer days, warm days and high temperature extremum (TXx、TXn) are obvious in the whole area. The increase of growing season length in the western region are more significant, the change rates of most stations range from 3 to 6 d per decade. The cold extreme temperature threshold is positively correlated with altitude by ?0.36℃/100m while the hot one by 0.5℃/100m. It is significant in positive correlation between the trend of extremal indices and altitude and it has obvious altitude dependence. With the elevation of altitude, the trends of extremal indices increase more obvious.

Key words: Qinling-Daba Mountains region, Extreme threshold, Extreme temperature, Altitude dependence

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