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DOI | 10.3390/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 |
ISSN | 2073-4441 |
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). |
条目包含的文件 | 条目无相关文件。 |
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