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DOI10.3390/w11020268
Bayesian Hierarchical Model Uncertainty Quantification for Future Hydroclimate Projections in Southern Hills-Gulf Region, USA
Beigi, Ehsan1; Tsai, Frank T. -C.1; Singh, Vijay P.2,3; Kao, Shih-Chieh4,5
发表日期2019
ISSN2073-4441
卷号11期号:2
英文摘要

The study investigates the hierarchical uncertainty of multi-ensemble hydroclimate projections for the Southern Hills-Gulf region, USA, considering emission pathways and a global climate model (GCM) as two main sources of uncertainty. Forty projections of downscaled daily air temperature and precipitation from 2010 to 2099 under four emission pathways and ten CMIP5 GCMs are adopted for hydroclimate modeling via the HELP3 hydrologic model. This study focuses on evapotranspiration (ET), surface runoff, and groundwater recharge projections in this century. Climate projection uncertainty is characterized by the hierarchical Bayesian model averaging (HBMA) method, which segregates emission pathway uncertainty and climate model uncertainty. HBMA is able to derive ensemble means and standard deviations, arising from individual uncertainty sources, for ET, runoff, and recharge. The model results show that future recharge in the Southern Hills-Gulf region is more sensitive to different climate projections and exhibits higher variability than ET and runoff. Overall, ET is likely to increase and runoff is likely to decrease in this century given the current emission path scenarios. Runoff are predicted to have an 18% to 20% decrease and ET is predicted to have around a 3% increase throughout the century. Groundwater recharge is likely to increase in this century with a decreasing trend. Recharge would increase about 13% in the early century and will have only a 3% increase in the late century. All hydrological projections have increasing uncertainty towards the end of the century. The HBMA result suggests that the GCM uncertainty dominates the overall hydrological projection uncertainty in the early century and the mid-century. The emission pathway uncertainty becomes important in the late century.


WOS研究方向Water Resources
来源期刊WATER
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/92415
作者单位1.Louisiana State Univ, Dept Civil & Environm Engn, 3325 Patrick F Taylor Hall, Baton Rouge, LA 70803 USA;
2.Texas A&M Univ, Dept Biol & Agr Engn, 321 Scoates Hall, College Stn, TX 77843 USA;
3.Texas A&M Univ, Zachry Dept Civil Engn, 321 Scoates Hall, College Stn, TX 77843 USA;
4.Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA;
5.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN 37831 USA
推荐引用方式
GB/T 7714
Beigi, Ehsan,Tsai, Frank T. -C.,Singh, Vijay P.,et al. Bayesian Hierarchical Model Uncertainty Quantification for Future Hydroclimate Projections in Southern Hills-Gulf Region, USA[J],2019,11(2).
APA Beigi, Ehsan,Tsai, Frank T. -C.,Singh, Vijay P.,&Kao, Shih-Chieh.(2019).Bayesian Hierarchical Model Uncertainty Quantification for Future Hydroclimate Projections in Southern Hills-Gulf Region, USA.WATER,11(2).
MLA Beigi, Ehsan,et al."Bayesian Hierarchical Model Uncertainty Quantification for Future Hydroclimate Projections in Southern Hills-Gulf Region, USA".WATER 11.2(2019).
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