干旱区生态环境知识资源中心(Arid): A comparison of missing value imputation methods applied to daily precipitation in a semi-arid and a humid region of Mexico

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DOI	10.20937/ATM.53095
	A comparison of missing value imputation methods applied to daily precipitation in a semi-arid and a humid region of Mexico
	Navarro Cespedes, Juan Manuel; Hernandez Anguiano, Jesus Horacio; Alcantara Concepcion, Pedro Camilo; Morales Martinez, Jorge Luis; Carreno Aguilera, Gilberto; Padilla, Francisco
通讯作者	Hernández Anguiano, JH
来源期刊	ATMOSFERA
ISSN	0187-6236
EISSN	2395-8812
出版年	2023
卷号	37 期号:1 页码:33-52
英文摘要	Climatological data with unreliable or missing values is an important area of research, and multiple methods are available to fill in missing data and evaluate data quality. Our study aims to compare the performance of different methods for estimating missing values explicitly designed for precipitation and multipurpose hydrological data. The climate variable used for the analysis was daily precipitation. We considered two different climate and orographic regions to evaluate the effects of altitude, precipitation regime, and percentage of missing data on the Mean Absolute Error of imputed values and performed a homogeneity evaluation of meteorological stations. We excluded meteorological stations with more than 25% missing data from the analysis. In the semi-arid region, ReddPrec (optimal for nine stations) and GCIDW (optimal for eight stations) were the best-performing methods for the 23 stations, with average MAE values of 1.63 mm/day and 1.46 mm/day, respectively. In the humid region, GCIDW was optimal in similar to 59% of stations, EM in similar to 24%, and ReddPrec in similar to 17%, with average MAE values of similar to 6.0 mm/day, 6.5 mm/day, and similar to 9.8 mm/day, respectively. This research makes a valuable contribution to identifying the most appropriate methods to impute daily precipitation in different climatic regions of Mexico based on efficiency indicators and homogeneity evaluation.
英文关键词	homogeneity imputation missing precipitation data
类型	Article
语种	英语
开放获取类型	hybrid, Green Published
收录类别	SCI-E
WOS记录号	WOS:000982100400003
WOS关键词	ABSOLUTE ERROR MAE ; SPATIAL INTERPOLATION ; RAINFALL DATA ; WEIGHTING METHODS ; CLIMATE DATA ; TEMPERATURE ; HOMOGENEITY ; MODELS ; RMSE
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/2XILL650/395458
推荐引用方式 GB/T 7714	Navarro Cespedes, Juan Manuel,Hernandez Anguiano, Jesus Horacio,Alcantara Concepcion, Pedro Camilo,et al. A comparison of missing value imputation methods applied to daily precipitation in a semi-arid and a humid region of Mexico[J],2023,37(1):33-52.
APA	Navarro Cespedes, Juan Manuel,Hernandez Anguiano, Jesus Horacio,Alcantara Concepcion, Pedro Camilo,Morales Martinez, Jorge Luis,Carreno Aguilera, Gilberto,&Padilla, Francisco.(2023).A comparison of missing value imputation methods applied to daily precipitation in a semi-arid and a humid region of Mexico.ATMOSFERA,37(1),33-52.
MLA	Navarro Cespedes, Juan Manuel,et al."A comparison of missing value imputation methods applied to daily precipitation in a semi-arid and a humid region of Mexico".ATMOSFERA 37.1(2023):33-52.