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Climate-change effects on extreme precipitation in central Europe: uncertainties of scenarios based on regional climate models

机译:气候变化对中欧极端降水的影响:基于区域气候模型的情景不确定性

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摘要

Observations as well as most climate model simulations are generally in accord with the hypothesis that the hydrologic cycle should intensify and become highly volatile with the greenhouse-gas-induced climate change, although uncertainties of these projections as well as the spatial and seasonal variability of the changes arc much larger than for temperature extremes. In this study, we examine scenarios of changes in extreme precipitation events in 24 future climate runs of ten regional climate models, focusing on a specific area of the Czech Republic (central Europe) where complex orography and an interaction of other factors governing the occurrence of heavy precipitation events result in patterns that cannot be captured by global models. The peaks-over-threshold analysis with increasing threshold censoring is applied to estimate multi-year return levels of daily rainfall amounts. Uncertainties in scenarios of changes for the late 21st century related to the inter-model and within-ensemble variability and the use of the SRES-A2 and SRES-B2 greenhouse gas emission scenarios are evaluated. The results show that heavy precipitation events are likely to increase in severity in winter and (with less agreement among models) also in summer. The inter-model and intra-model variability and related uncertainties in the pattern and magnitude of the change is large, but the scenarios tend to agree with precipitation trends recently observed in the area, which may strengthen their credibility. In most scenario runs, the projected change in extreme precipitation in summer is of the opposite sign than a change in meanrnseasonal totals, the latter pointing towards generally drier conditions in summer. A combination of enhanced heavy precipitation amounts and reduced water infiltration capabilities of a dry soil may severely increase peak river discharges and flood-related risks in this region.
机译:观测结果和大多数气候模型模拟通常都符合这样的假设,即水文循环应随着温室气体引起的气候变化而加剧并变得高度不稳定,尽管这些预测的不确定性以及气候变化的空间和季节变化都存在不确定性。变化远超过极限温度。在这项研究中,我们研究了十个区域气候模型的24个未来气候运行中极端降水事件的变化情景,重点研究了捷克共和国(中欧)的某个特定区域,该区域地形复杂且其他因素共同作用于该区域的发生。严重的降水事件导致模式无法被全球模型捕获。随着阈值审查的增加,阈值以上的峰值分析可用于估计每日降雨量的多年回报水平。评估了21世纪末与模型间和集合内变异相关的变化情景的不确定性,以及SRES-A2和SRES-B2温室气体排放情景的使用。结果表明,冬季强降水事件的严重性可能增加,夏季也可能(在模型之间一致性较低)。模式间和模式内的变异性以及变化模式和变化幅度的相关不确定性很大,但是情景与最近在该地区观测到的降水趋势趋于一致,这可能增强其可信度。在大多数情况下,夏季极端降水的预计变化与平均季节总数的变化相反,后者表明夏季总体较干燥。增加的强降水量和减少的干旱土壤水分渗透能力的结合可能会严重增加该地区的洪峰流量和与洪水有关的风险。

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  • 来源
    《Theoretical and applied climatology》 |2009年第4期|361-374|共14页
  • 作者

    Jan Kysely; Romana Beranova;

  • 作者单位

    Institute of Atmospheric Physics AS CR,Bocni II 1401,141 31 Prague, Czech Republic;

    Institute of Atmospheric Physics AS CR,Bocni II 1401,141 31 Prague, Czech Republic;

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