Generating rainfall fields using principal components (PC) decomposition of the covariance matrix: A case study in Mexico City

Journal of Hydrology

Volumn 278, Issue 1-4, 2003, Pages 107-120

  Bouvier, Christophe ^a   Cisneros, Leonardo ^b   Dominguez, Ramon ^b   Laborde, Jean Pierre ^c   Lebel, Thierry ^d  

^a UNIVERSITÉ DE MONTPELLIER   (France)

^b UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^c University of Nice UMR 6012 ESPACE   (France)

^d LABORATOIRE DE GLACIOLOGIE ET GÉOPHYSIQUE DE L ENVIRONNEMENT   (France)

Author keywords

Correlation matrix; Generalized Pareto distribution; Mexico; Principal components; Rainfall fields; Stochastic generation

Indexed keywords

CORRELATION METHODS; METEOROLOGICAL RADAR; PRINCIPAL COMPONENT ANALYSIS; RAIN; RAIN GAGES; RISK ASSESSMENT;

RAINFALL FIELDS;

HYDROLOGY;

MODEL; PRINCIPAL COMPONENT ANALYSIS; RAINFALL; RAINGAUGE; SPATIAL DISTRIBUTION; TEMPORAL VARIATION;

MEXICO; MEXICO CITY;

EID: 0041785653     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0022-1694(03)00122-7     Document Type: Article

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