GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2017.07.016
Multiple imputation of rainfall missing data in the Iberian Mediterranean context
Javier Miro, Juan1; Caselles, Vicente1; Jose Estrela, Maria2
2017-11-15
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2017
卷号197
文章类型Article
语种英语
国家Spain
英文摘要

Given the increasing need for complete rainfall data networks, in recent years have been proposed diverse methods for filling gaps in observed precipitation series, progressively more advanced that traditional approaches to overcome the problem. The present study has consisted in validate 10 methods (6 linear, 2 non-linear and 2 hybrid) that allow multiple imputation, i.e., fill at the same time missing data of multiple incomplete series in a dense network of neighboring stations. These were applied for daily and monthly rainfall in two sectors in the Jucar River Basin Authority (east Iberian Peninsula), which is characterized by a high spatial irregularity and difficulty of rainfall estimation. A classification of precipitation according to their genetic origin was applied as pre-processing, and a quantile-mapping adjusting as post-processing technique. The results showed in general a better performance for the non-linear and hybrid methods, highlighting that the non-linear PCA (NLPCA) method outperforms considerably the Self Organizing Maps (SOM) method within non-linear approaches. On linear methods, the Regularized Expectation Maximization method (RegEM) was the best, but far from NLPCA. Applying EOF filtering as post-processing of NLPCA (hybrid approach) yielded the best results.


英文关键词Rainfall Missing data Gap filling Daily data Monthly data Imputation method comparison Dense network
领域地球科学
收录类别SCI-E
WOS记录号WOS:000412250700026
WOS关键词PRINCIPAL COMPONENT ANALYSIS ; DAILY PRECIPITATION CONCENTRATION ; SEA-SURFACE TEMPERATURE ; VALENCIA REGION ; INCOMPLETE DATA ; TIME-SERIES ; SPATIAL-DISTRIBUTION ; PCA METHODS ; VALUES ; EXTREMES
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
被引频次:67[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/15258
专题地球科学
作者单位1.Univ Valencia, Dept Fis Terra & Termodinam, Fac Fis, Doctor Moliner 50, Valencia 46100, Spain;
2.Univ Valencia, Dept Geog, Fac Geog & Hist, Avda Blasco lbanez 28, Valencia 46010, Spain
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GB/T 7714
Javier Miro, Juan,Caselles, Vicente,Jose Estrela, Maria. Multiple imputation of rainfall missing data in the Iberian Mediterranean context[J]. ATMOSPHERIC RESEARCH,2017,197.
APA Javier Miro, Juan,Caselles, Vicente,&Jose Estrela, Maria.(2017).Multiple imputation of rainfall missing data in the Iberian Mediterranean context.ATMOSPHERIC RESEARCH,197.
MLA Javier Miro, Juan,et al."Multiple imputation of rainfall missing data in the Iberian Mediterranean context".ATMOSPHERIC RESEARCH 197(2017).
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