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Impact of climate change on hydrological conditions in a tropical West African catchment using an ensemble of climate simulations

机译:气候变化对气候变化对西非热带流域水文条件的影响

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This study evaluates climate change impacts on water resources using an ensemble of six regional climate models?(RCMs)–global climate models?(GCMs) in the Dano catchment (Burkina Faso). The applied climate datasets were performed in the framework of the span style="text-decoration:underline; " class="text"CO/spanordinated span style="text-decoration:underline; " class="text"R/spanegional climate span style="text-decoration:underline; " class="text"D/spanownscaling span style="text-decoration:underline; " class="text"Ex/spanperiment?(CORDEX-Africa) project./pp class="p"After evaluation of the historical runs of the climate models' ensemble, a statistical bias correction?(empirical quantile mapping) was applied to daily precipitation. Temperature and bias corrected precipitation data from the ensemble of RCMs–GCMs was then used as input for the span style="text-decoration:underline; " class="text"Wa/spanter flow and balance span style="text-decoration:underline; " class="text"Si/spanmulation span style="text-decoration:underline; " class="text"M/spanodel?(WaSiM) to simulate water balance components./pp class="p"The mean hydrological and climate variables for two periods (1971–2000 and 2021–2050) were compared to assess the potential impact of climate change on water resources up to the middle of the 21st century under two greenhouse gas concentration scenarios, the Representative Concentration Pathways?(RCPs)?4.5 and?8.5. The results indicate (i)?a clear signal of temperature increase of about 0.1?to 2.6?°C for all members of the RCM–GCM ensemble; (ii)?high uncertainty about how the catchment precipitation will evolve over the period?2021–2050; (iii)?the applied bias correction method only affected the magnitude of the climate change signal; (iv)?individual climate models results lead to opposite discharge change signals; and (v)?the results for the RCM–GCM ensemble are too uncertain to give any clear direction for future hydrological development. Therefore, potential increase and decrease in future discharge have to be considered in climate change adaptation strategies in the catchment. The results further underline on the one hand the need for a larger ensemble of projections to properly estimate the impacts of climate change on water resources in the catchment and on the other hand the high uncertainty associated with climate projections for the West African region. A water-energy budget analysis provides further insight into the behavior of the catchment./p
机译:本研究使用达诺流域(布基纳法索)的六个区域气候模型(RCM)-全球气候模型(GCM)的集合评估了气候变化对水资源的影响。应用的气候数据集是在 style =“ text-decoration:underline;” class =“ text”> CO ordinated style =“ text-decoration:underline;” class =“ text“> R 局部气候 style =” text-decoration:underline;“ class =” text“> D ownscaling style =” text-decoration:underline;“ class =” text “> Ex periment?(CORDEX-Africa)项目。 class =” p“>在评估了气候模型集合的历史运行之后,进行了统计偏差校正(经验分位数映射) )应用于日降水量。然后将来自RCM-GCM集合的经温度和偏差校正的降水数据用作 style =“ text-decoration:underline;” class =“ text”> Wa ter流量和平衡 style =“ text-decoration:underline;” class =“ text”> Si mulation style =“ text-decoration:underline;” class =“ text”> M odel?(WaSiM)模拟水平衡成分。 class =“ p”>比较了两个时期(1971–2000年和2021–2050年)的平均水文和气候变量,以评估气候变化对水资源的潜在影响。在两种温室气体浓度情景下的21世纪中叶,代表浓度路径(RCPs)分别为4.5和8.5。结果表明:(i)对于RCM-GCM集合的所有成员,温度明显升高了约0.1℃至2.6℃。 (ii)2021-2050年期间流域降水将如何演变的高度不确定性; (iii)所采用的偏差校正方法仅影响气候变化信号的幅度; (iv)?个别气候模型结果导致相反的排放变化信号; (v)RCM-GCM集成的结果太不确定,无法为未来的水文发展提供任何明确的方向。因此,在流域的气候变化适应策略中必须考虑未来排放量的潜在增加和减少。结果进一步强调,一方面需要更大范围的预测,以正确估算气候变化对流域水资源的影响,另一方面,与西非地区气候预测相关的高度不确定性。水能预算分析可以进一步了解流域的行为。

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