On the use of empirical orthogonal function (EOF) analysis in the simulation of random fields

DOI10.1007/BF01543054zbMath0722.60115WikidataQ58885241 ScholiaQ58885241MaRDI QIDQ756306

Ch. Obled, I. Braud

Publication date: 1991

Published in: Stochastic Hydrology and Hydraulics (Search for Journal in Brave)

zbMATH Keywords

simulationspectral representationrandom fieldsdecomposition of the covariance kernelempirical orthogonal function analysisexpansion of the covariance kernel

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Special processes (60K99)

Related Items (5)

Simulation of normal distributed smooth fields by Karhunen-Loève expansion in combination with kriging ⋮ Interpretable, predictive spatio-temporal models via enhanced pairwise directions estimation ⋮ Hopf bifurcation of compound stochastic van der Pol system ⋮ Spatial random field simulation by a numerical series representation ⋮ Empirical orthogonal function (EOF) analysis of spatial random fields: Theory, accuracy of the numerical approximations and sampling effects

Cites Work

• Empirical orthogonal function (EOF) analysis of spatial random fields: Theory, accuracy of the numerical approximations and sampling effects
• The intrinsic random functions and their applications

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