Introduction to data assimilation 

Example of the diffusion operator

A simple correlation model of correlation is given by the Gaussian

Since the natural solution of the diffusion equation

with initial condition a Dirac distribution, is the Gaussian

by identification, the equivalent of the length-scale is

[WC01] have developped the idea to take advantage of this solution to build correlation model as

where is the propagateur associated to the time integration of the diffusion equation from time to is the metric operator.

But what are the diffusion coefficients in real applications?

[PM08] have proposed to estimate the diffusion coefficient under a local homogeneous assumption leading the

when the time is set to . and of course, the extension in 2D and 3D. They have applyied this for ozone assimilation.

Length-scale raw statistics vs. modelized

raw stat. (a) Lpx (b) Lpy model. with dif. (c) Lpx (d) Lpy

Anisotropy diagonis raw stat. (a-b) and modelized (c-d)

Correlation function raw stat. (a) and modelized (b)

PreviousPreviousNextNext
HomepageHomepagePrintPrint Olivier PANNEKOUCKE, submitted to Open Learn. Res. Ed. INPT 0831 (2013) 6h Attribution - Share AlikeCreated with Scenari (new window)