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东北冷涡暖季气候特征及其降水在黑龙江省的时空分布

Climatic Characteristics of the Northeast Cold Vortex and Its Spatiotemporal Distribution of Precipitation during the Warm Season in Heilongjiang Province

  • 摘要: 本文使用黑龙江省80个国家站小时降水量资料及NCEP/ NCAR再分析资料,分析了1981~2022年暖季(5~9月)东北冷涡及其降水的气候特征,研究了冷涡降水在黑龙江省复杂地形下的时空分布特征。研究结果发现:(1)黑龙江省暖季年平均降水量、冷涡过程降水量及占比均呈现显著的年际、年代际变化特征。暖季年平均降水量在1998年以前为缓慢减弱趋势,之后为明显增强趋势;冷涡过程年平均降水量整体呈现增强趋势。(2)降水量和降水频次的峰值均位于14~17时(北京时)。降水量较降水频次的日变化幅度更大。降水强度越大,其日变化和年际变化特征越显著。(3)强降水发生频次和贡献率均是白天大于夜间。降水强度越大对总降水的影响程度越大。东北冷涡过程中强降水的贡献在增加,降水强度越大增加趋势越显著;弱降水的贡献在减少。(4)极值空间分布特征与局地地形密切相关,平原向山区的过渡区域降水极值最大,极易发生强降水,山区和平原降水极值相对较小。

     

    Abstract: Based on hourly precipitation data from 80 national stations in Heilongjiang Province and reanalysis data jointly produced by the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR), we analyzed the climatic characteristics of the Northeast cold vortex (NECV) and its precipitation during the warm season from May to September between 1981 and 2022. The study focused on the spatiotemporal distribution of NECV precipitation in the complex terrain of Heilongjiang Province. The key findings include: (1) In Heilongjiang Province, the average annual precipitation during the warm season and the precipitation of NECV processes and their proportion in the warm season demonstrated significant interannual and interdecadal variations. Before 1998, warm-season precipitation gradually decreased, followed by an obvious increase, while NECV precipitation showed an overall upward trend. (2) Precipitation and its frequency peaked from 1400 BJT to 1700 BJT. The daily variation in precipitation was more pronounced than that of its frequency, especially for higher intensity precipitation, which exhibited significant daily and yearly variations. (3) Heavy precipitation occurred more frequently during the daytime than at night. The greater the precipitation intensity, the greater the influence on total precipitation. The contribution of heavy precipitation in NECV processes has been increasing, with stronger precipitation showing a more pronounced upward trend, while the contribution of weak precipitation has been declining. (4) The spatial distribution of extreme values was strongly affected by local topography. The area transitioning from plain to mountainous areas recorded the highest extreme precipitation values, indicating a higher likelihood of heavy precipitation, while extreme values were lower in purely mountainous or plain areas.

     

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