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Sensitivity of future continental United States water deficit projections to general circulation models, the evapotranspiration estimation method, and the greenhouse gas emission scenario

机译:未来美国大陆的水赤字预测对一般环流模型,蒸散估算方法和温室气体排放情景的敏感性

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摘要

Projecting water deficit under various possible future climate scenarios depends on the choice of general circulation model (GCM), reference evapotranspiration (ET0) estimation method, and Representative Concentration Pathway (RCP) trajectory. The relative contribution of each of these factors must be evaluated in order to choose an appropriate ensemble of future scenarios for water resources planning. In this study variance-based global sensitivity analysis and Monte Carlo filtering were used to evaluate the relative sensitivity of projected changes in precipitation (P), ET0, and water deficit (defined here as P-ET0) to choice of GCM, ET0 estimation method, and RCP trajectory over the continental United States (US) for two distinct future periods: 2030-2060 (future period 1) and 2070-2100 (future period 2). A total of 9 GCMs, 10 ET0 methods, and 3 RCP trajectories were used to quantify the range of future projections and estimate the relative sensitivity of future projections to each of these factors. In general, for all regions of the continental US, changes in future precipitation are most sensitive to the choice of GCM, while changes in future ET0 are most sensitive to the choice of ET0 estimation method. For changes in future water deficit, the choice of GCM is the most influential factor in the cool season (December-March), and the choice of ET0 estimation method is most important in the warm season (May-October) for all regions except the Southeast US, where GCMs and ET0 have approximately equal influence throughout most of the year. Although the choice of RCP trajectory is generally less important than the choice of GCM or ET0 method, the impact of RCP trajectory increases in future period 2 over future period 1 for all factors. Monte Carlo filtering results indicate that particular GCMs and ET0 methods drive the projection of wetter or drier future conditions much more than RCP trajectory; however, the set of GCMs and ET0 methods that produce wetter or drier projections varies substantially by region. Results of this study indicate that, in addition to using an ensemble of GCMs and several RCP trajectories, a range of regionally relevant ET0 estimation methods should be used to develop a robust range of future conditions for water resources planning under climate change.
机译:在各种可能的未来气候情景下,对缺水的预测取决于一般环流模型(GCM),参考蒸散量(ET0)估算方法和代表浓度路径(RCP)轨迹的选择。必须评估这些因素中的每一个的相对贡献,以便为水资源规划的未来方案选择合适的集合。在这项研究中,基于方差的全局敏感性分析和蒙特卡罗滤波被用于评估预测的降水量(P),ET0和缺水量(此处定义为P-ET0)变化对GCM,ET0估计方法的相对敏感性。 ,以及美国大陆(US)上两个不同的未来时期的RCP轨迹:2030-2060(未来时期1)和2070-2100(未来时期2)。总共使用了9个GCM,10个ET0方法和3个RCP轨迹来量化未来预测的范围,并估计未来预测对每个因素的相对敏感性。通常,对于美国大陆的所有地区,未来降水的变化对GCM的选择最敏感,而未来ET0的变化对ET0估算方法的选择最敏感。对于未来缺水量的变化,在寒冷季节(12月至3月),GCM的选择是最有影响力的因素,在除暖季(5月至10月)以外的所有地区,ET0估算方法的选择最为重要。美国东南部,一年四季大部分时间里,GCM和ET0的影响力大致相等。尽管RCP轨迹的选择通常不如GCM或ET0方法重要,但是在所有因素下,RCP轨迹的影响在未来2期中都将在未来1期中增加。蒙特卡罗滤波结果表明,特定的GCM和ET0方法比RCP轨迹更能驱动更潮湿或更干燥的未来状况的预测。但是,产生较湿或较干投影的GCM和ET0方法集因地区而异。这项研究的结果表明,除了使用GCM和几个RCP轨迹的合奏之外,还应使用一系列区域相关的ET0估计方法来为气候变化下的水资源规划开发出一系列可靠的未来条件。

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