Improving estimation of missing values in daily precipitation series by a probability density function-preserving approach

International Journal of Climatology

Volumn 30, Issue 10, 2010, Pages 1564-1576

  Simolo, C ^a   Brunetti, M ^a   Maugeri, M ^a,b   Nanni, T ^a  

^a CNR   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

Author keywords

Daily precipitation; Interpolation; Missing values; Probability density function

Indexed keywords

DAILY PRECIPITATION; DAILY RAINFALL; INTENSE PRECIPITATION; MISSING VALUES; MULTI-LINEAR REGRESSION; NOVEL METHODS; PROBABILITY DENSITIES; SIDE EFFECT; STATISTICAL PROPERTIES; TWO-STEP ALGORITHMS; WET AND DRY;

INTERPOLATION; PROBABILITY DISTRIBUTIONS; TIME SERIES;

PROBABILITY DENSITY FUNCTION;

ESTIMATION METHOD; GEOSTATISTICS; INTERPOLATION; PRECIPITATION (CLIMATOLOGY); PROBABILITY DENSITY FUNCTION; RAINFALL;

EID: 77956495427     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.1992     Document Type: Article

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