气候变化领域集成服务门户(CCPortal): Extreme precipitation and drought monitoring in northeastern China using general circulation models and pan evaporation-based drought indices

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DOI	10.3354/cr01503
	Extreme precipitation and drought monitoring in northeastern China using general circulation models and pan evaporation-based drought indices
	Faiz M.A.; Liu D.; Fu Q.; Wrzesinski D.; Baig F.; Nabi G.; Khan M.I.; Li T.; Cui S.
发表日期	2018
ISSN	0936-577X
起始页码	231
结束页码	250
卷号	74 期号:3
英文摘要	The evaluation of precipitation extremes and the usage of appropriate drought indices are very important for assessment of natural disasters (i.e. floods and drought). For this purpose, we calculated values of indices that reflect precipitation extremes and 3 drought indices, i.e. the composite index (CI), standardized precipitation evapotranspiration index (SPEI), and reconnaissance drought index (RDI), with reformulation of pan evaporation and Penman−Mon-teith equations (denoted as CI-Pan, RDI-Pan, RDI-PM, and SPEI-PM), based on observed data fom 1961−2005. Output from Coupled Model Intercomparison Project Phase 5 (CMIP5) historical model simulations was also used to identify discrepancies in the model simulations. The results showed that wet-day precipitation increased at a rate of 1.9 mm yr−1 over the entire study area. During the whole time period, the simple daily intensity index exhibited a non-significant decreasing trend compared to other precipitation indices. The number of consecutive wet days showed a negative trend, while the number of consecutive dry days showed a positive trend with a slope of 0.33 d yr−1. Very small differences were found between the results of the multi-model ensemble mean and the values of the extreme precipitation indices assessed from the in situ stations. The performance of reformulated drought indices is significant in monitoring drought events in the study area. A comparison of the indices showed that the performance of reformulated drought indices is better than that of the standard RDI and SPEI at all stations. The highest CI-Pan value (0.23) was observed in July, and the 2 lowest values, −0.6 and −0.7, were observed in April and September, respectively, indicating that the latter 2 months are highly prone to drought. © Inter-Research 2018.
英文关键词	Drought; General circulation model; Pan Evaporation; Precipitation; Water resources management
语种	英语
scopus关键词	climate modeling; drought; ensemble forecasting; environmental monitoring; evaporation; extreme event; general circulation model; index method; natural disaster; Penman-Monteith equation; performance assessment; precipitation (climatology); water management; water resource; China
来源期刊	Climate Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146978
作者单位	School of Water Conservancy and Civil Engineering, United States; Key Laboratory of Effective Utilization of Agricultural Water Resources of Ministry of Agriculture, Heilongjiang Provincial Collaborative Innovation Center of Grain Production Capacity Improvement, Key Laboratory of Water-Saving Agriculture, Ordinary University in Heilongjiang Province, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China; Adam Mickiewicz University, Department of Hydrology and Water Management, Poznan, Poland; Department of Civil Engineering, Middle East Technical University, Ankara, Turkey; Centre of Excellence in Water Resources Engineering, University of Engineering and Technology, Lahore, Pakistan
推荐引用方式 GB/T 7714	Faiz M.A.,Liu D.,Fu Q.,et al. Extreme precipitation and drought monitoring in northeastern China using general circulation models and pan evaporation-based drought indices[J],2018,74(3).
APA	Faiz M.A..,Liu D..,Fu Q..,Wrzesinski D..,Baig F..,...&Cui S..(2018).Extreme precipitation and drought monitoring in northeastern China using general circulation models and pan evaporation-based drought indices.Climate Research,74(3).
MLA	Faiz M.A.,et al."Extreme precipitation and drought monitoring in northeastern China using general circulation models and pan evaporation-based drought indices".Climate Research 74.3(2018).