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首页> 外文期刊>Asia-Pacific journal of atmospheric sciences >Influence of Sea Surface Temperature on Simulated Future Change in Extreme Rainfall in the Asia-Pacific
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Influence of Sea Surface Temperature on Simulated Future Change in Extreme Rainfall in the Asia-Pacific

机译:海面温度对亚太地区极端降雨模拟未来变化的影响

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The changes in precipitation simulated by the 40-model CMIP5 ensemble for the Asia-Pacific region are assessed, focusing on the two periods 1986-2005 and 2080-2099 under the RCP8.5 scenario. The frequency distributions of both daily and monthly mean rain rates at model grid points in each of four seasons are considered. In spatial averages for the land domain and seven selected regions, there is both an increase in the frequency of dry days and a shift towards heavier rain. Three 20-year seasonal aggregate statistics, the mean, the top decile of monthly amounts, and top percentile of daily amounts are assessed. The percentage changes over land are on average 4% higher for monthly extremes than for the mean, and a further 10% higher for the daily extremes. Over Australia and central Indonesia in some seasons the mean decreases but daily extremes increase. In much of Asia the daily extremes increase by 30% or more. For these statistics, there is a range across the ensemble that can often be linked to a pattern of sea surface temperature change that is quantified by a Pacific-Indian Dipole (or difference, PID) index. Correlations with both mean and extreme rain are highly negative over Australia and Indonesia and moderately positive over parts of south and east Asia in some seasons. The mechanism for this is explored through additional simulations and links with water vapour path. The results provide some understanding of the range of projections of future rainfall change based on the CMIP5 results, with some potential for narrowing it.
机译:评估了亚太地区40型CMIP5集合模拟的降水变化,重点是RCP8.5场景下的1986 - 2005年和2080-2099期。考虑了四个赛季中每一个模型网格点的日常和月平均雨率的频率分布。在土地领域和七个所选地区的空间平均值中,干燥日的频率和较重雨的转变均增加。评估了三个20年的季节性统计数据,平均值,每月金额的最高减法和每日金额的最高百分位数。每月极端性极端的百分比百分比平均较高,而且每日极端的平均值高出10%。在澳大利亚和印度尼西亚中部在一些季节中,平均值下降,但每日极端增加。在亚洲大部分地区,每日极端增长30%以上。对于这些统计数据,整个集合中存在一个范围,通常可以与由太平洋 - 印度偶极(或差异,PID)指数量化量化的海面温度变化模式。与卑鄙和极端雨的相关性在澳大利亚和印度尼西亚的高度负面负面,在一些季节的南部和东亚的部分地区具有适度的积极态度。通过额外的模拟和与水蒸气路径的连接来探索这一点的机制。结果对基于CMIP5结果的未来降雨变化的预测范围提供了一些了解,有些可能缩小它。

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