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100-Year Lower Mississippi Floods in a Global Climate Model: Characteristics and Future Changes

机译:全球气候模型100年的密西西比州洪水:特征和未来的变化

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Floods in the Mississippi basin can have large negative societal, natural, and economic impacts. Understanding the drivers of floods, now and in the future, is relevant for risk management and infrastructure-planning purposes. We investigate the drivers of 100-yr-return lower Mississippi River floods using a global coupled climate model with an integrated surface water module. The model provides 3400 years of physically consistent data from a static climate, in contrast to available observational data (relatively short records, incomplete land surface data, transient climate). In the months preceding the model's 100-yr floods, as indicated by extreme monthly discharge, above-average rain and snowfall lead to moist subsurface conditions and the buildup of snowpack, making the river system prone to these major flooding events. The meltwater from snowpack in the northern Missouri and upper Mississippi catchments primes the river system, sensitizing it to subsequent above-average precipitation in the Ohio and Tennessee catchments. An ensemble of transient forcing experiments is used to investigate the impacts of past and projected anthropogenic climate change on extreme floods. There is no statistically significant projected trend in the occurrence of 100-yr floods in the model ensemble, despite significant increases in extreme precipitation, significant decreases in extreme snowmelt, and significant decreases in less extreme floods. The results emphasize the importance of considering the fully coupled land-atmosphere system for extreme floods. This initial analysis provides avenues for further investigation, including comparison to characteristics of less extreme floods, the sensitivity to model configuration, the role of human water management, and implications for future flood-risk management.
机译:密西西比河盆地的洪水可具有大的负面社会,自然和经济影响。了解洪水的驱动因素,现在和将来,与风险管理和基础设施规划目的有关。我们调查了100 yr-Return Lower Mississippi河洪水的驾驶员使用带有集成表面水模块的全球耦合的气候模型。该模型提供3400年的静态气候与静态气候的物理一致的数据,与可用的观察数据(相对较短的记录,不完整的土地表面数据,瞬态气候)相反。在模型100年洪水之前的几个月里,如极端的月度放电所示,雨量高于平均雨水和降雪导致潮湿的地下条件和积雪的积雪,使河流系统容易出现这些重大的洪水事件。来自北部密苏里州和上部密西西比集水区的融解融合了河流系统,使其敏感到俄亥俄州和田纳西集水区的后平均降水。瞬态强制实验的集合用于调查过去和预计的人为气候变化对极端洪水的影响。在模型集合中没有统计学上显着的预计趋势,在模型集合中发生了100毫克洪水,尽管极度降水量显着增加,极端散热的显着降低,极大的洪水较少的显着降低。结果强调了考虑全面洪水充分耦合的土地气氛系统的重要性。这个初步分析提供了进一步调查的途径,包括与较少极端洪水的特征的比较,对模型配置的敏感性,人力水管理的作用以及对未来洪水风险管理的影响。

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