干旱区生态环境知识资源中心(Arid): A Nonparametric Procedure to Assess the Accuracy of the Normality Assumption for Annual Rainfall Totals, Based on the Marginal Statistics of Daily Rainfall: An Application to the NOAA/NCDC Rainfall Database

Arid

DOI	10.1175/JAMC-D-20-0060.1
	A Nonparametric Procedure to Assess the Accuracy of the Normality Assumption for Annual Rainfall Totals, Based on the Marginal Statistics of Daily Rainfall: An Application to the NOAA/NCDC Rainfall Database
	Ruggiu, Dario; Viola, Francesco; Langousis, Andreas
通讯作者	Ruggiu, D (corresponding author), Univ Cagliari, Dept Civil Environm & Architectural Engn, Cagliari, Italy.
来源期刊	JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
ISSN	1558-8424
EISSN	1558-8432
出版年	2021
卷号	60 期号:4 页码:595-605
英文摘要	We develop a nonparametric procedure to assess the accuracy of the normality assumption for annual rainfall totals (ART), based on the marginal statistics of daily rainfall. The procedure is addressed to practitioners and hydrologists that operate in data-poor regions. To do so we use 1) goodness-of-fit metrics to conclude on the approximate convergence of the empirical distribution of annual rainfall totals to a normal shape and classify 3007 daily rainfall time series from the NOAA/NCDC Global Historical Climatology Network database, with at least 30 years of recordings, into Gaussian (G) and non-Gaussian (NG) groups; 2) logistic regression analysis to identify the statistics of daily rainfall that are most descriptive of the G/NG classification; and 3) a random-search algorithm to conclude on a set of constraints that allows classification of ART samples on the basis of the marginal statistics of daily rain rates. The analysis shows that the Anderson-Darling (AD) test statistic is the most conservative one in determining approximate Gaussianity of ART samples (followed by Cramer-Von Mises and Lilliefors's version of Kolmogorov-Smirnov) and that daily rainfall time series with fraction of wet days f(wd) < 0.1 and daily skewness coefficient of positive rain rates sk(wd) > 5.92 deviate significantly from the normal shape. In addition, we find that continental climate (type D) exhibits the highest fraction of Gaussian distributed ART samples (i.e., 74.45%; AD test at alpha = 5% significance level), followed by warm temperate (type C; 72.80%), equatorial (type A; 68.83%), polar (type E; 62.96%), and arid (type B; 60.29%) climates.
英文关键词	Rainfall Statistical techniques Subseasonal variability Interannual variability Time series Uncertainty Climate classification/regimes
类型	Article
语种	英语
开放获取类型	Bronze, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000644122400011
WOS关键词	OF-FIT TESTS ; MATHEMATICAL STRUCTURE ; ANNUAL PRECIPITATION ; HURST PHENOMENON ; TIME ; TRENDS ; REPRESENTATIONS ; MODELS ; DISTRIBUTIONS ; TEMPERATURE
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367948
作者单位	[Ruggiu, Dario; Viola, Francesco] Univ Cagliari, Dept Civil Environm & Architectural Engn, Cagliari, Italy; [Langousis, Andreas] Univ Patras, Dept Civil Engn, Patras, Greece
推荐引用方式 GB/T 7714	Ruggiu, Dario,Viola, Francesco,Langousis, Andreas. A Nonparametric Procedure to Assess the Accuracy of the Normality Assumption for Annual Rainfall Totals, Based on the Marginal Statistics of Daily Rainfall: An Application to the NOAA/NCDC Rainfall Database[J],2021,60(4):595-605.
APA	Ruggiu, Dario,Viola, Francesco,&Langousis, Andreas.(2021).A Nonparametric Procedure to Assess the Accuracy of the Normality Assumption for Annual Rainfall Totals, Based on the Marginal Statistics of Daily Rainfall: An Application to the NOAA/NCDC Rainfall Database.JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY,60(4),595-605.
MLA	Ruggiu, Dario,et al."A Nonparametric Procedure to Assess the Accuracy of the Normality Assumption for Annual Rainfall Totals, Based on the Marginal Statistics of Daily Rainfall: An Application to the NOAA/NCDC Rainfall Database".JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY 60.4(2021):595-605.