4.6 Article

Change in the spatiotemporal pattern of snowfall during the cold season under climate change in a snow-dominated region of China

期刊

INTERNATIONAL JOURNAL OF CLIMATOLOGY
卷 39, 期 15, 页码 5702-5719

出版社

WILEY
DOI: 10.1002/joc.6182

关键词

northeast China; precipitation phase; Qinghai-Tibet Plateau; warming; Xinjiang

资金

  1. Key Program of National Natural Science Foundation of China [91437220, 41501301]
  2. Science & Technology Basic Resources Investigation Program of China [2017FY100501_5]
  3. R&D Special Fund for Public Welfare Industry (Meteorology) [GYHY201506002]

向作者/读者索取更多资源

The spatiotemporal pattern of precipitation is significantly changing with global climate change. Snowfall is a solid phase of precipitation and an important water resource. With two gridded data sets of APHRO (Asia Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources) and CN05.1, this study analyses the changes in the spatiotemporal pattern of snowfall in a snow-dominant region of China from 1961 to 2015. The results indicate the significant increasing trend of winter snowfall in horizontal and altitude dimension in snow-dominant regions, but the winter snowing season length shortened. For the frequency of snowfall intensity level, light, and heavy snowfall and snowstorms increased, but moderate snowfall showed no change. However, the intensity of extreme snowfall in once-in-a-century was decreasing in all of the snow-dominant regions. In the altitude dimension, the increasing trend in snow-dominant conditions was not uniform, which may be related to change in air temperature and water vapour through the vertical atmospheric levels. The upwards trend in snowfall may be caused by the increase of atmospheric water content rather than the change of snowy weather conditions. In addition, the change values of climate indices can also contribute to snowfall increasing in snow-dominant regions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据