基于FY-3号气象卫星的中国典型积雪覆盖区的时空动态研究
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中国科学院战略先导专项A类项目(XDA19030402);国家自然科学基金资助项目(41871253;42071425)


Spatiotemporal dynamics of snow cover in typical regions of China based on FY-3 meteorological satellite
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    摘要:

    基于风云三号(FY-3)气象卫星的积雪产品数据(snow cover),提出了基于经验模态分解的趋势提取方法,探讨了2010—2019年中国积雪时空动态变化趋势。结果表明:1)中国积雪覆盖频率(Snow Cover Frequency,SCF)具有显著的季节性特征,呈现先增加后减少的特点,每年2月、3月SCF达到当年最大;东北的SCF呈显著下降的年际变化趋势,其他地区变化不大。2)中国整体的积雪覆盖率(Snow Cover Rate,SCR)下降了约1.2%,内蒙古和西藏的SCR下降了约1.5%,其他地区的SCR变化不显著;主要积雪覆盖区的SCR均在2016年发生由增加到减少的转变。

    Abstract:

    As one of the storage methods of water resources on the earth,snow cover has an important impact on soil moisture and freshwater distribution.The north-south crossing latitude in China is about 50°,and snow cover is widely distributed.It is of great significance to study the spatial and temporal dynamics of snow cover.Based on the snow cover data of FY-3 meteorological satellite,this paper proposesa trend extraction method based on empirical mode decomposition,and discusses the spatiotemporal dynamic change trend of snow cover in China from 2010 to 2019.Results show that:1) Snow cover frequency (SCF) in China has significant seasonal characteristics,which increases first and then decreases.The SCF reaches the maximum in February and March every year.The SCF in Northeast China shows an interannual trend of significant decline,while that in other regions does not change much.2)The overall snow cover rate (SCR) in China (NeiMonggol and Tibet) decreases by about 1.2% (about 1.5%),while that in other regions does not change significantly.The SCR in main snow cover areas changes from increasing to decreasing in 2016.

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李梁,张佳华,孙中太,刘权,白雲,张莎,杨姗姗,王霄鹏,2022.基于FY-3号气象卫星的中国典型积雪覆盖区的时空动态研究[J].大气科学学报,45(6):879-889. LI Liang, ZHANG Jiahua, SUN Zhongtai, LIU Quan, BAI Yun, ZHANG Sha, YANG Shanshan, WANG Xiaopeng,2022. Spatiotemporal dynamics of snow cover in typical regions of China based on FY-3 meteorological satellite[J]. Trans Atmos Sci,45(6):879-889. DOI:10.13878/j. cnki. dqkxxb.20211228001

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  • 收稿日期:2021-12-28
  • 最后修改日期:2022-09-07
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  • 在线发布日期: 2022-12-15
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