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Ultra-high resolution regional climate projections for assessing changes in hydrological extremes and underlying uncertainties

机译:超高分辨率区域气候预测,用于评估水文极端和潜在的不确定性的变化

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摘要

The frequency and intensity of extreme hydrological events (droughts and floods) have been increasing over the past few decades, which has been posing a threat to water security and agriculture production. Thus, projecting the future evolution of hydrological extremes plays a crucial role in sustainable water management and agriculture development in a changing climate. In this study, we develop the high-resolution projections of multidimensional drought characteristics and flood risks using the convection-permitting Weather Research and Forecasting (WRF) model with the horizontal grid spacing of 4 km for the Blanco and Mission River basins over South Texas. Uncertainties in model parameters are addressed explicitly, thereby leading to probabilistic assessments of hydrological extremes. Our findings reveal that the probabilistic multivariate assessments of drought and flood risks can reduce the underestimation and the biased conclusions generated from the univariate assessment. Furthermore, our findings disclose that future droughts are expected to become more severe over South Texas even though the frequency of the occurrence of droughts is projected to decrease, especially for the long-term drought episodes. In addition, South Texas region is expected to experience more floods with an increasing river discharge. Moreover, the Blanco and Mission river basins will suffer from higher flood risks as flood return periods are expected to become longer under climate change.
机译:在过去的几十年里,极端水文事件(干旱和洪水)的频率和强度在造成对水安全和农业生产的威胁。因此,投射未来水文极端的演变在不断变化的气候中对可持续水管理和农业发展起着至关重要的作用。在这项研究中,我们利用对流允许的天气研究和预测(WRF)模型开发了多维干旱特征和洪水风险的高分辨率预测,其中水平网格间隔为4公里,在南德克萨斯州的南德克萨斯州的南部河流。模型参数中的不确定性明确解决,从而导致水文极端的概率评估。我们的调查结果表明,干旱和洪水风险的概率多变量评估可以减少低估和从单变量评估产生的偏见结论。此外,我们的调查结果披露了,即使将干旱发生的频率降低,也会透露未来的干旱在南德克萨斯州的南部更加严重,特别是对于长期干旱发作。此外,南德克萨斯地区预计将在河流下游越来越多地体验更多洪水。此外,随着洪水返回期限在气候变化下变长,Blanco和Mission River Basins将遭受更高的洪水风险。

著录项

  • 来源
    《Climate dynamics 》 |2020年第8期| 2031-2051| 共21页
  • 作者

    Qing Y.; Wang S.; Zhang B.; Wang Y.;

  • 作者单位

    Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Hong Kong Peoples R China;

    Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Hong Kong Peoples R China|Hong Kong Polytech Univ Shenzhen Res Inst Shenzhen Peoples R China;

    Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Hong Kong Peoples R China;

    Texas Tech Univ Dept Geosci Lubbock TX 79409 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Regional climate projection; Hydrological extremes; Drought; Flood; Copula;

    机译:区域气候投影;水文极端;干旱;洪水;copula;

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