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

被引:17
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 65 条
[51]   Accurate Computation of a Streamflow Drought Index [J].
Vicente-Serrano, Sergio M. ;
Lopez-Moreno, Juan I. ;
Begueria, Santiago ;
Lorenzo-Lacruz, Jorge ;
Azorin-Molina, Cesar ;
Moran-Tejeda, Enrique .
JOURNAL OF HYDROLOGIC ENGINEERING, 2012, 17 (02) :318-332
[52]   High resolution regional climate model simulations for Germany: Part II-projected climate changes [J].
Wagner, Sven ;
Berg, Peter ;
Schaedler, Gerd ;
Kunstmann, Harald .
CLIMATE DYNAMICS, 2013, 40 (1-2) :415-427
[53]   Improving probabilistic hydroclimatic projections through high-resolution convection-permitting climate modeling and Markov chain Monte Carlo simulations [J].
Wang, S. ;
Wang, Y. .
CLIMATE DYNAMICS, 2019, 53 (3-4) :1613-1636
[54]   Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre- and Post-Processing in Sequential Data Assimilation [J].
Wang, S. ;
Ancell, B. C. ;
Huang, G. H. ;
Baetz, B. W. .
WATER RESOURCES RESEARCH, 2018, 54 (03) :2129-2151
[55]   Amplified or exaggerated changes in perceived temperature extremes under global warming [J].
Wang, Shuo ;
Zhu, Jinxin .
CLIMATE DYNAMICS, 2020, 54 (1-2) :117-127
[56]   Multivariate Drought Assessment Considering the Antecedent Drought Conditions [J].
Waseem, Muhammad ;
Ajmal, Muhammad ;
Lee, Joo Heon ;
Kim, Tae-Woong .
WATER RESOURCES MANAGEMENT, 2016, 30 (12) :4221-4231
[57]   Probabilistic forecasting of seasonal drought behaviors in the Huai River basin, China [J].
Xiao, Mingzhong ;
Zhang, Qiang ;
Singh, Vijay P. ;
Chen, Xiaohong .
THEORETICAL AND APPLIED CLIMATOLOGY, 2017, 128 (3-4) :667-677
[58]   The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins [J].
Yang, Zong-Liang ;
Niu, Guo-Yue ;
Mitchell, Kenneth E. ;
Chen, Fei ;
Ek, Michael B. ;
Barlage, Michael ;
Longuevergne, Laurent ;
Manning, Kevin ;
Niyogi, Dev ;
Tewari, Mukul ;
Xia, Youlong .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2011, 116
[59]  
Yue S, 2000, HYDROL PROCESS, V14, P2575, DOI 10.1002/1099-1085(20001015)14:14<2575::AID-HYP115>3.0.CO
[60]  
2-L