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Volumn 34, Issue 4, 2014, Pages 1311-1317

The selection of predictors in a regression-based method for gap filling in daily temperature datasets

Author keywords

Daily temperature; Predictors; Regression model

Indexed keywords

BETTER PERFORMANCE; CLIMATOLOGICAL ANALYSIS; COMPUTER ACTIVITIES; DAILY TEMPERATURES; MAXIMUM TEMPERATURE; MULTIPLE CORRELATION; PREDICTORS; REGRESSION MODEL;

EID: 84900567925     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.3766     Document Type: Article
Times cited : (14)

References (15)
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    • Kim, J.W.1    Pachepsky, Y.A.2
  • 8
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    • Filling missing values in weather data banks. 2nd IEE International Conference on Intelligent Environments, 5-6 July, 2006, Athens, Greece
    • Kotsiantis S, Kostoulas A, Lycoudis S, Argiriou A, Menagias K. 2006. Filling missing values in weather data banks. 2nd IEE International Conference on Intelligent Environments, 5-6 July, 2006, Athens, Greece 1: 327-334.
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    • A dynamic method for gap filling in daily temperature datasets
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    • Tardivo G, Berti A. 2012. A dynamic method for gap filling in daily temperature datasets. Journal of Applied Meteorology and Climatology 51: 1079-1095. DOI: 10.1175/JAMC-D-11-0117.1
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.