Effects of climate change on probable maximum precipitation: A sensitivity study over the Alabama-Coosa-Tallapoosa River Basin

被引:37
|
作者
Rastogi, Deeksha [1 ,2 ,3 ]
Kao, Shih-Chieh [1 ,3 ,4 ]
Ashfaq, Moetasim [1 ,2 ]
Mei, Rui [1 ,2 ]
Kabela, Erik D. [5 ]
Gangrade, Sudershan [1 ,3 ,4 ]
Naz, Bibi S. [6 ]
Preston, Benjamin L. [1 ,4 ,7 ]
Singh, Nagendra [8 ]
Anantharaj, Valentine G. [9 ]
机构
[1] Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN 37830 USA
[2] Oak Ridge Natl Lab, Comp Sci & Math Div, Oak Ridge, TN USA
[3] Univ Tennessee, Bredesen Ctr, Knoxville, TN 37996 USA
[4] Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA
[5] Oak Ridge Natl Lab, Nucl Secur & Isotope Technol Div, Oak Ridge, TN USA
[6] Res Ctr Julich FZJ, Inst Bio & Geosci, Agrosphere IBG 3, Julich, Germany
[7] RAND Corp, Infrastruct Resilience & Environm Policy, Santa Monica, CA USA
[8] Oak Ridge Natl Lab, Computat Sci & Engn Div, Oak Ridge, TN USA
[9] Oak Ridge Natl Lab, Natl Ctr Computat Sci, Oak Ridge, TN USA
关键词
probable maximum precipitation; climate change; WRF; CFSR; ACT; EXTREME PRECIPITATION; BULK PARAMETERIZATION; MODEL; TEMPERATURE; METHODOLOGY; INCREASE; IMPACTS; PMP;
D O I
10.1002/2016JD026001
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Probable maximum precipitation (PMP), defined as the largest rainfall depth that could physically occur under a series of adverse atmospheric conditions, has been an important design criterion for critical infrastructures such as dams and nuclear power plants. To understand how PMP may respond to projected future climate forcings, we used a physics-based numerical weather simulation model to estimate PMP across various durations and areas over the Alabama-Coosa-Tallapoosa (ACT) River Basin in the southeastern United States. Six sets of Weather Research and Forecasting (WRF) model experiments driven by both reanalysis and global climate model projections, with a total of 120 storms, were conducted. The depth-area-duration relationship was derived for each set of WRF simulations and compared with the conventional PMP estimates. Our results showed that PMP driven by projected future climate forcings is higher than 1981-2010 baseline values by around 20% in the 2021-2050 near-future and 44% in the 2071-2100 far-future periods. The additional sensitivity simulations of background air temperature warming also showed an enhancement of PMP, suggesting that atmospheric warming could be one important factor controlling the increase in PMP. In light of the projected increase in precipitation extremes under a warming environment, the reasonableness and role of PMP deserve more in-depth examination.
引用
收藏
页码:4808 / 4828
页数:21
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