Empirical Orthogonal Function (EOF) analysis of spatial random fields: Theory, accuracy of the numerical approximations and sampling effects

Author:

Braud I.,Obled Ch.,Phamdinhtuan A.

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering,Mechanical Engineering,Ocean Engineering,General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Modeling and Simulation,Environmental Chemistry,Environmental Engineering

Reference21 articles.

1. Bouhaddou, O. 1984: Analyse en composantes principales et interpolation de processus. Méthode et simulation. Thèse de 3ème cycle, UJF, Grenoble, 165 pp.

2. Bouhaddou, O.; Obled, Ch.; Pham Dinh Tuan, A. 1987: Principal component analysis and interpolation of stochastic processes. Methods and simulation. Journal of Applied Statistics 14 (3), 251–267

3. Braud, I. 1990: Etude méthodologique de l'Analyse en Composantes Principales de processus bidimensionnels. Effets des approximations numériques et de l'échantillonnage et utilisation pour la génération de champs aléatoires. Application au traitement des températures de surface de la mer sur l'Atlantique intertropical. Doctorat INPG, Grenoble, 214 pp.

4. Braud, I; Obled, Ch. 1989: A comparison between analytical eigenfunctions of a covariance kernel and their numerical approximations. Preprints of the 11th Conference on Probability and Statistics in Atmospheric Sciences. October 1–5 1989, Monterey (Ca). American Meteorological Society, 26–29

5. Braud, I.; Obled, Ch. 1991: On the use of Empirical Orthogonal Function (EOF) analysis in the simulation of random fields. Stochastic Hydrology and Hydraulics 5, 125–134

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