首页> 外文OA文献 >Climate and Extreme Rainfall Events in the Mono River Basin (West Africa): Investigating Future Changes with Regional Climate Models
【2h】

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

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

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 °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:这项研究特点在莫诺河流域,其中主要的经济活动是取决于天气和当地人民极易受到自然灾害,包括洪水浸淹在极端降雨和气温的未来变化。从观测数据集和区域气候模式,从REMO,REGCM,HadRM3和RCA(区域协调机制)输出的日降水量和温度来分析在空间和时间的气候变化和适应GEV模型来研究极端降雨和他们的回报周期。结果表明,在这一领域的模拟环境的真实感主要由区域协调机制的选择来控制。这些的RCM预计到2050年1至1.5℃的温度增加而累积沉淀投影趋势是空值或模型中非常中度和发散。针对强降雨事件得到了不同的结果,与REGCM和HadRM3指着极端降雨事件的强度显著上升。该GEV模型是非常适合的暴雨事件的预测虽然有超过90个百分点的不确定性。日降水量的年最大值也将在2050年增加,并可能有利于在单流域生态系统服务和社会经济活动,但也可能是一种威胁。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号