Data assimilation in a sparsely observed one-dimensional modeled MHD system

Data assimilation in a sparsely observed one-dimensional modeled MHD system

A one dimensional non-linear magneto-hydrodynamic (MHD) system has been introduced to test a sequential optimal interpolation assimilation technique that uses a Monte-Carlo method to calculate the forecast error covariance. An ensemble of 100 model runs with perturbed initial conditions are used to...

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Bibliographic Details
Main Authors:	Z. Sun, A. Tangborn, W. Kuang
Format:	Article
Language:	English
Published:	Copernicus Publications 2007-01-01
Series:	Nonlinear Processes in Geophysics
Online Access:	http://www.nonlin-processes-geophys.net/14/181/2007/npg-14-181-2007.pdf

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