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Uncertainties in evapotranspiration projections associated with estimation methods and CMIP6 GCMs for South Korea
被引:33
作者:
Song, Young Hoon
[1
]
Chung, Eun-Sung
[1
]
Shahid, Shamsuddin
[2
]
机构:
[1] Seoul Natl Univ Sci & Technol, Fac Civil Engn, 232 Gongneung Ro, Seoul 01811, South Korea
[2] Univ Teknol Malaysia UTM, Fac Engn, Sch Civil Engn, Johor Baharu 81310, Malaysia
基金:
新加坡国家研究基金会;
关键词:
CMIP6;
Shared socioeconomic pathways;
Reliability ensemble averaging;
Potential evapotranspiration;
Uncertainty;
CLIMATE-CHANGE;
POTENTIAL EVAPOTRANSPIRATION;
LOESS PLATEAU;
WATER-BALANCE;
MODEL;
EVAPORATION;
SIMULATIONS;
PRECIPITATION;
RADIATION;
D O I:
10.1016/j.scitotenv.2022.153953
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
This study compared the performance capabilities of three potential evapotranspiration (PET) methods, Thornthwaite (TW), Hargreaves and Samani (HS), and Penman-Monteith (PM), to simulate historical and future daily PET levels in South Korea using climate variables from Coupled Model Intercomparison Project 6 (CMIP6) Global Climate Models (GCMs). Five evaluation metrics were used to quantify the reproducibility of the climate variables and PETs at ten sta-tions in South Korea for the historical period used here (1985-2014). The changes and uncertainty associated with the changes in PET in the near (2031-2060) and far (2071-2100) futures were calculated for two shared socioeconomic pathways (SSPs) of 2-4.5 and 5-8.5. As a result, PETs estimated using the three methods for the historical period showed high performance in terms of five evaluation metrics. Overall, PETs showed an increase for both the future pe-riods and the SSPs. The PET estimated using the PM method showed the greatest increase, while that estimated using HS showed the most modest increase in the future. The PM method also showed the highest reliability and lowest un-certainty in the PET estimations, while the opposite was true for HS. This study contributes to our understanding of rational PET methods by which to calculate hydrological factors such as drought indexes for future periods via GCM simulations.
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页数:13
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