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首页> 外文期刊>Journal of hydrometeorology >Anomalous Weather Patterns in Relation to Heavy Precipitation Events in Japan during the Baiu Season
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Anomalous Weather Patterns in Relation to Heavy Precipitation Events in Japan during the Baiu Season

机译：在Baiu季节中与日本强降水事件有关的异常天气模式

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摘要

Anomalous weather patterns (WPs) in relation to heavy precipitation events during the baiu season in Japan are investigated using a nonlinear classification technique known as the self-organizing map (SOM). The analysis is performed on daily time scales using the Japanese 55-year Reanalysis Project (JRA-55) to determine the role of circulation and atmospheric moisture on extreme events and to investigate interannual and interdecadal variations for possible linkages with global-scale climate variability. SOM is simultaneously employed on four atmospheric variables over East Asia that are related to baiu front variability, whereby anomalous WPs that dominated during the 1958-2011 period are obtained. Our analysis extracts seven typical WPs, which are linked to frequent occurrences of heavy precipitation events. Each WP is associated with regional variations in the probability of extreme precipitation events. On interannual time scales, El Nino-Southern Oscillation (ENSO) affects the frequency of the WPs in relation to the heavy rainfall events. The warm phase of ENSO results in an increased frequency of a WP that provides a southwesterly intrusion of high equivalent potential temperature at low levels, while the cold phase provides southeastern intrusion. In addition, the results of this analysis suggest that interdecadal variability of frequency for heavy rainfall events corresponds to changes in frequency distributions of WPs and are not due to one particular WP.
机译：使用一种称为自组织图（SOM）的非线性分类技术，研究了日本在baiu季节与强降水事件相关的异常天气模式（WPs）。使用日本55年再分析项目（JRA-55）在每日时间尺度上进行分析，以确定循环和大气水分在极端事件中的作用，并调查年际和年代际变化与全球气候变率的可能联系。 SOM同时应用于东亚地区与白潮锋变率有关的四个大气变量，从而获得了在1958-2011年期间占主导地位的异常WP。我们的分析提取了七个典型的WP，这些WP与频繁发生的强降水事件有关。每个WP都与极端降水事件发生概率的区域变化有关。在每年的时间尺度上，厄尔尼诺-南方涛动（ENSO）影响与大降雨事件相关的工作频率。 ENSO的暖相导致WP频率增加，在较低水平上向西南方向侵入的等效温度高，而冷相则向东南方向侵入。另外，该分析的结果表明，强降雨事件的频率的年代际变化与WPs频率分布的变化相对应，而不是由某一特定WP引起的。

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