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Global Patterns of the Contributions of Storm Frequency, Intensity, and Seasonality to Interannual Variability of Precipitation

机译:风暴频率,强度和季节性对年际降水变化的贡献的全球模式

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Interannual variation in precipitation totals is a critical factor governing the year-to-year availability of water resources, yet the connection between interannual precipitation variability and underlying event- and season-scale precipitation variability remains unclear. In this study, tropical and midlatitude precipitation characteristics derived from extensive station records and high-frequency satellite observations were analyzed to attribute the fraction of interannual variability arising as a result of individual variability in precipitation event intensity, frequency, and seasonality, as well as the cross-correlation between these factors at the global scale. This analysis demonstrates that variability in the length of the wet season is the most important factor globally, causing 52% of the total interannual variability, while variation in the intensity of individual rainfall events contributes 31% and variability in interstorm wait times contributes only 17%. Spatial patterns in the contribution of each of these intra-annual rainfall characteristics are informative, with regions such as Indonesia and southwestern North America primarily influenced by seasonality, while regions such as the eastern United States, central Africa, and the upper Amazon basin are strongly influenced by storm intensity and frequency. A robust cross-correlation between climate characteristics is identified in the equatorial Pacific, revealing an increased interannual variability over what is expected based on the variability of individual events. This decomposition of interannual variability identifies those regions where accurate representation of daily and seasonal rainfall statistics is necessary to understand and correctly model rainfall variability at longer time scales.
机译:降水总量的年际变化是控制水资源年年可获得性的关键因素,但年际降水变化与潜在的事件和季节尺度降水变化之间的联系仍然不清楚。在这项研究中,分析了从广泛的台站记录和高频卫星观测获得的热带和中纬度降水特征,以归因于降水事件强度,频率和季节性以及气象事件的个体变化而产生的年际变化比例。这些因素在全球范围内具有互相关性。该分析表明,湿季长度的变化是全球最重要的因素,占总年际变化的52%,而个别降雨事件强度的变化贡献了31%,而风暴间隔时间的变化仅贡献了17% 。这些年内降雨特征各自贡献的空间格局是有益的,印度尼西亚和北美西南部等地区主要受季节变化的影响,而美国东部,中部非洲和上亚马逊盆地等地区则强烈受季节影响。受风暴强度和频率的影响。在赤道太平洋地区,气候特征之间存在强大的互相关性,揭示出年际变化性高于基于单个事件变化性的预期。年际变化的这种分解确定了需要准确表示每日和季节性降雨统计数据的区域,以了解并正确地模拟较长时间尺度的降雨变化。

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