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Climate and Extreme Rainfall Events in the Mono River Basin (West Africa): Investigating Future Changes with Regional Climate Models

机译:Mono River盆地(西非)的气候和极端降雨活动:调查区域气候模型的未来变化

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摘要

This study characterizes the future changes in extreme rainfall and air temperature in the Mono river basin where the main economic activity is weather dependent and local populations are highly vulnerable to natural hazards, including flood inundations. Daily precipitation and temperature from observational datasets and Regional Climate Models (RCMs) output from REMO, RegCM, HadRM3, and RCA were used to analyze climatic variations in space and time, and fit a GEV model to investigate the extreme rainfalls and their return periods. The results indicate that the realism of the simulated climate in this domain is mainly controlled by the choice of the RCMs. These RCMs projected a 1 to 1.5 degrees C temperature increase by 2050 while the projected trends for cumulated precipitation are null or very moderate and diverge among models. Contrasting results were obtained for the intense rainfall events, with RegCM and HadRM3 pointing to a significant increase in the intensity of extreme rainfall events. The GEV model is well suited for the prediction of heavy rainfall events although there are uncertainties beyond the 90th percentile. The annual maxima of daily precipitation will also increase by 2050 and could be of benefit to the ecosystem services and socioeconomic activities in the Mono river basin but could also be a threat.
机译:这项研究表征了Mono River盆地极端降雨和空气温度的未来变化,主要经济活动是天气依赖,当地种群对自然灾害的影响极易受到侵害,包括洪水淹没。从Remo,Regcm,Hadrm3和RCA的观察数据集和区域气候模型(RCMS)输出的日降水和温度用于分析空间和时间的气候变化,并符合GEV模型来调查极端降雨及其退货期。结果表明,该域中模拟气候的现实主义主要由RCMS选择控制。这些RCMS将温度升高为2050,而累积沉淀的预计趋势是零模型中的零点或非常温和的。获得对比度结果为激烈的降雨事件,REGCM和HADRM3指向极端降雨事件强度的显着增加。虽然存在超出90百分位数,但GEV模型非常适合预测大雨事件的预测。每日降水量的年度最大值也将增加2050年,可能有利于Mono River盆地的生态系统服务和社会经济活动,但也可能是一种威胁。

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