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The impact of climate mitigation on projections of future drought

机译:缓解气候变化对未来干旱预测的影响

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Drought is a cumulative event, often difficult to define and involving wide-reaching consequences for agriculture, ecosystems, water availability, and society. Understanding how the occurrence of drought may change in the future and which sources of uncertainty are dominant can inform appropriate decisions to guide drought impacts assessments. Our study considers both climate model uncertainty associated with future climate projections, and future emissions of greenhouse gases (future scenario uncertainty). Four drought indices (the Standardised Precipitation Index (SPI), Soil Moisture Anomaly (SMA), the Palmer Drought Severity Index (PDSI) and the Standardised Runoff Index (SRI)) are calculated for the A1B and RCP2.6 future emissions scenarios using monthly model output from a 57-member perturbed parameter ensemble of climate simulations of the HadCM3C Earth System model, for the baseline period 1961-1990, and the period 2070-2099 ("the 2080s"). We consider where there are statistically significant increases or decreases in the proportion of time spent in drought in the 2080s compared to the baseline. Despite the large range of uncertainty in drought projections for many regions, projections for some regions have a clear signal, with uncertainty associated with the magnitude of change rather than direction. For instance, a significant increase in time spent in drought is generally projected for the Amazon, Central America and South Africa whilst projections for northern India consistently show significant decreases in time spent in drought. Whilst the patterns of changes in future drought were similar between scenarios, climate mitigation, represented by the RCP2.6 scenario, tended to reduce future changes in drought. In general, climate mitigation reduced the area over which there was a significant increase in drought but had little impact on the area over which there was a significant decrease in time spent in drought.
机译:干旱是一个累积事件,通常很难定义,并且涉及对农业,生态系统,水的可获得性和社会的广泛影响。了解干旱的发生方式将来可能会如何变化以及不确定性的主要来源是什么,可以为指导干旱影响评估的适当决策提供依据。我们的研究考虑了与未来气候预测相关的气候模型不确定性以及未来温室气体的排放(未来情景的不确定性)。针对A1B和RCP2.6未来排放情景,计算了四个干旱指数(标准降水指数(SPI),土壤湿度异常(SMA),帕尔默干旱严重指数(PDSI)和标准径流指数(SRI)),每月使用HadCM3C地球系统模型的气候模拟的57个成员的扰动参数集合的模型输出,用于基准时期1961-1990,以及时期2070-2099(“ 2080s”)。我们考虑到2080年代与基线相比,干旱所花费的时间比例在统计上有显着增加或减少的地方。尽管许多地区的干旱预测存在很大的不确定性,但某些地区的预测却发出了明确的信号,不确定性与变化的幅度而不是方向有关。例如,一般预计亚马逊,中美洲和南非的干旱时间将显着增加,而印度北部的预测则持续显示干旱时间显着减少。尽管情景之间未来干旱的变化模式相似,但以RCP2.6情景为代表的缓解气候变化趋向于减少未来干旱的变化。一般而言,减缓气候变化减少了干旱显着增加的区域,但对干旱所花费的时间显着减少的区域几乎没有影响。

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