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

被引:14
|
作者
Qing, Y. [1 ]
Wang, S. [1 ,2 ]
Zhang, B. [1 ]
Wang, Y. [3 ]
机构
[1] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China
[2] Hong Kong Polytech Univ, Shenzhen Res Inst, Shenzhen, Peoples R China
[3] Texas Tech Univ, Dept Geosci, Lubbock, TX 79409 USA
基金
中国国家自然科学基金;
关键词
Regional climate projection; Hydrological extremes; Drought; Flood; Copula; RIVER-BASIN; DROUGHT INDEX; MODEL; PRECIPITATION; SIMULATIONS; SENSITIVITY; PROVINCE;
D O I
10.1007/s00382-020-05372-6
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
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.
引用
收藏
页码:2031 / 2051
页数:21
相关论文
共 50 条
  • [1] Ultra-high resolution regional climate projections for assessing changes in hydrological extremes and underlying uncertainties
    Y. Qing
    S. Wang
    B. Zhang
    Y. Wang
    [J]. Climate Dynamics, 2020, 55 : 2031 - 2051
  • [2] An intercomparison of regional climate simulations for Europe:: assessing uncertainties in model projections
    Deque, M.
    Rowell, D. P.
    Luethi, D.
    Giorgi, F.
    Christensen, J. H.
    Rockel, B.
    Jacob, D.
    Kjellstrom, E.
    de Castro, M.
    van den Hurk, B.
    [J]. CLIMATIC CHANGE, 2007, 81 (Suppl 1) : 53 - 70
  • [3] An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections
    M. Déqué
    D. P. Rowell
    D. Lüthi
    F. Giorgi
    J. H. Christensen
    B. Rockel
    D. Jacob
    E. Kjellström
    M. de Castro
    B. van den Hurk
    [J]. Climatic Change, 2007, 81 : 53 - 70
  • [4] Assessing Climate Change Impacts on Human-Perceived Temperature Extremes and Underlying Uncertainties
    Zhu, J.
    Wang, S.
    Huang, G.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (07) : 3800 - 3821
  • [5] Future Projections of Precipitation Extremes for Greece Based on an Ensemble of High-Resolution Regional Climate Model Simulations
    Zanis, Prodromos
    Georgoulias, Aristeidis K.
    Velikou, Kondylia
    Akritidis, Dimitris
    Kalisoras, Alkiviadis
    Melas, Dimitris
    [J]. ATMOSPHERE, 2024, 15 (05)
  • [6] Changes in building climate zones over China based on high-resolution regional climate projections
    Shi, Ying
    Wang, Guiling
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (11)
  • [7] Towards ultra-high resolution models of climate and weather
    Wehner, Michael
    Oliker, Leonid
    Shalf, John
    [J]. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2008, 22 (02): : 149 - 165
  • [9] Projected Changes in Hydrological Extremes in the Yangtze River Basin with an Ensemble of Regional Climate Simulations
    Gu, Huanghe
    Yu, Zhongbo
    Yang, Chuanguo
    Ju, Qin
    [J]. WATER, 2018, 10 (09)
  • [10] Enhanced resolution modelling study on anthropogenic climate change: Changes in extremes of the hydrological cycle
    Voss, R
    May, W
    Roeckner, E
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2002, 22 (07) : 755 - 777