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首页> 外文期刊>Natural hazards and earth system sciences >Projected intensification of sub-daily and daily rainfall extremes in convection-permitting climate model simulations over North America: implications for future intensity-duration-frequency curves
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Projected intensification of sub-daily and daily rainfall extremes in convection-permitting climate model simulations over North America: implications for future intensity-duration-frequency curves

机译:对对流允许的气候模型模拟北美的对流允许的气候模型模拟的预计加剧:对未来强度持续时间曲线的影响

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摘要

Convection-permitting climate models have been recommended for use in projecting future changes in local-scale, short-duration rainfall extremes that are of the greatest relevance to engineering and infrastructure design, e.g., as commonly summarized in intensity-duration-frequency (IDF) curves. Based on thermodynamic arguments, it is expected that rainfall extremes will become more intense in the future. Recent evidence also suggests that shorter-duration extremes may intensify more than longer durations and that changes may depend on event rarity. Based on these general trends, will IDF curves shift upward and steepen under global warming? Will long-return-period extremes experience greater intensification than more common events? Projected changes in IDF curve characteristics are assessed based on sub-daily and daily outputs from historical and late 21st century pseudo-global-warming convection-permitting climate model simulations over North America. To make more efficient use of the short model integrations, a parsimonious generalized extreme value simple scaling (GEVSS) model is used to estimate historical and future IDF curves (1 to 24 h durations). Simulated historical sub-daily rainfall extremes are first evaluated against in situ observations and compared with two high-resolution observationally constrained gridded products. The climate model performs well, matching or exceeding performance of the gridded datasets. Next, inferences about future changes in GEVSS parameters are made using a Bayesian false discovery rate approach. Large portions of the domain experience significant increases in GEVSS location ( 99 % of grid points), scale ( 88 %), and scaling exponent ( 39 %) parameters, whereas almost no significant decreases are projected to occur ( 1 %, 5 %, and 5 % respectively). The result is that IDF curves tend to shift upward (increases in location and scale), and, with the exception of the eastern US, steepen (increases in s
机译:建议使用对流允许的气候模型,以便在局部规模的未来变化中投影,这是与工程和基础设施设计最大的最大关系,例如,在强度持续时间频率(IDF)中总结曲线。基于热力学争论,预计最终降雨将会变得更加激烈。最近的证据还表明,较短持续时间极端可能会加剧比较长的持续时间,并且变化可能取决于事件罕见。根据这些一般趋势,IDF曲线将在全球变暖下向上移动和陡峭陡峭吗?长期回复时期极端会经历比更常见的事件更大的强化吗? IDF曲线特征的预计变化是根据历史和21世纪21世纪伪全球变暖对流允许的北美气候模型模拟的历史和后期伪全球变暖对流的日常产出的评估。为了更有效地利用短模型集成,可以使用一个令人杀灭的广义极值简单缩放(GEVS)模型来估计历史和未来IDF曲线(1至24小时)。首先将模拟历史次日降雨极值以原位观察评估,并与两种高分辨率的观测限制限制网格产品进行比较。气候模型执行良好,匹配或超过网格数据集的性能。接下来,使用贝叶斯假发现速率方法进行关于GEVS参数的未来变化的推论。域的大部分经历GEVSS位置的显着增加(& 99%的网格点),比例(& 88%),缩放指数(& 39%)参数,而几乎没有显着的减少将发生( & 1%,& 5%,分别为5%)。结果是IDF曲线倾向于向上移动(在地点和规模上增加),并且除了东部,陡峭的陡峭(S

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