Defining Indices for the Extreme Snowfall Events and Analyzing their Trends in Northern Xinjiang, China

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  • WANG Shaoping
    State Key Laboratory of Cryospheric Sciences/Division of Hydrology Water-Land Resources in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Science, China Division of Hydrology Water-Land Resources in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, China University of Chinese Academy of Sciences, China
  • DING Yongjian
    State Key Laboratory of Cryospheric Sciences/Division of Hydrology Water-Land Resources in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Science, China Division of Hydrology Water-Land Resources in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, China University of Chinese Academy of Sciences, China
  • JIANG Fengqing
    Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, China
  • ANJUM Muhammad Naveed
    Division of Hydrology Water-Land Resources in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, China University of Chinese Academy of Sciences, China
  • IQBAL Mudassar
    University of Chinese Academy of Sciences, China Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, China

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<p> Northern Xinjiang (NX), China, located at the middle latitude of the Northern Hemisphere, has abundant snowfall and a long period of snow cover. In this study, to assess the impact of climate change in this region and to provide scientific knowledge for the resource management, analyses of the spatial and temporal variations in extreme snowfall events (ESEs) in NX was conducted based on five defined ESE indices: days of heavy snowfall (DHS), maximum 1-day snowfall amount (MASD), maximum 1-event snowfall amount (MASE), the maximum number of consecutive snowfall days (MDSE), and frequency of heavy snowfall events (HSE). To reconstruct the snowfall dataset, the relationship between air temperature and snowfall events was determined, and it was found that the daily minimum air temperature below 0°C is the best indicator to identify snowfall days. ESEs in NX occupied an increasing proportion of snow events, although the number of snowfall days decreased. Consistent increasing trends in all ESE indices were found for the entire NX region, while different changes in these indices were noted between subregions. With highly increasing trends of these ESE indices in most of subregions, the Daxigou–Xiaoquzi and Qitai areas were the hotspots for ESEs. Since these hotspots are likely influenced by airflow from the Arctic Ocean, the changes in the Arctic Ocean and the associated atmospheric circulation resulting from climate change might be the main reasons for the increasing trend of ESEs in NX.</p>

収録刊行物

  • 気象集誌. 第2輯

    気象集誌. 第2輯 95 (5), 287-299, 2017

    公益社団法人 日本気象学会

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