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Characteristic atmospheric states during mid-summer droughts over Central America and Mexico

机译:中美洲和墨西哥中夏天干旱期间的特色大气态

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摘要

Annual precipitation over Central America and large areas of Mexico is typically characterised by its bimodal distribution, with a precipitation minimum in July to August that occurs between two separate maxima from May to July and August to October. Several theories have been proposed to explain this phenomenon, which is often termed the mid-summer drought (MSD), but most fail to address the different characteristics associated with individual MSD events. Here, a regression-based approach is used to detect and quantify the annual and climatological MSD signature over Central America and Mexico. This approach has been evaluated and shown to be robust for various datasets with different spatial resolutions. It was found that in the southeast of the Mexico/Central America region, MSDs start earlier and end later than elsewhere, and are thus longer in duration. However, the coast of the Gulf of Mexico, Cuba, and large areas of Central America, exhibit climatologically stronger MSDs. Changes in precipitation, brought about by the interaction between reversals of the onshore/offshore winds and orographic forcing associated with the steep mountainous terrain, have also been shown to be significant factors in the timing of MSD occurrences, offering support for a combined theory of large-scale dynamics and regional forcing. Using self-organising maps (SOMs) as an analysis tool, it was found that MSD events over the domain display strong spatial variability. The MSDs over the domain also generate distinct signatures and may be forced by particular mechanisms. We found that El Nino-Southern Oscillation (ENSO) could be a potential classifier for the SOM identified atmospheric states, based on the correspondence of MSD occurrences with ENSO phases.
机译:美国中美洲和墨西哥大面积的年度降水通常是其双峰分布的特点,其中7月至8月在7月至8月之间的降水量,从5月到7月和8月至10月之间发生了两种单独的最大值。已经提出了几个理论来解释这种现象,这些现象通常被称为中夏天干旱(MSD),但大多数都没有解决与个体MSD事件相关的不同特征。在这里,基于回归的方法用于检测和量化中美洲和墨西哥的年度和气候学士学位。已经评估了这种方法,并显示为具有不同空间分辨率的各个数据集是强大的。有人发现,在墨西哥/中美洲地区的东南部,MSDS于早期开始,比其他地方晚于,因此持续时间更长。然而,墨西哥湾海湾,古巴和中美洲大地区,展示了高潮的MSDS。通过与陡峭的山区地形相关的陆上/海上风和地形迫使的逆转之间的互动的降水变化也被证明是MSD发生的时机的重要因素,为大型综合理论提供支持-scale动态和区域强迫。使用自组织地图(SOM)作为分析工具,发现域上的MSD事件显示出强的空间变异性。域上的MSDS还生成不同的签名,并且可以通过特定机制强制。我们发现El Nino-Southern振荡(ENSO)可以是SOM所识别的大气状态的潜在分类器,基于MSD出现与ENSO阶段的对应关系。

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  • 来源
    《Climate dynamics》 |2020年第4期|681-701|共21页
  • 作者单位

    Univ Melbourne Sch Earth Sci Melbourne Vic Australia|Univ Melbourne Ctr Excellence Climate Extremes Australian Res Council Melbourne Vic Australia;

    Univ Tasmania Inst Marine & Antarctic Studies Hobart Tas Australia|Univ Tasmania Ctr Excellence Climate Extremes Australian Res Council Hobart Tas Australia;

    Univ Tasmania Ctr Excellence Climate Extremes Australian Res Council Hobart Tas Australia|Dalhousie Univ Dept Oceanog Halifax NS Canada;

    Univ Nacl Dept Fis Heredia Costa Rica;

    Univ Nacl Dept Fis Heredia Costa Rica;

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