By Topic

An adjoint method based approach to data assimilation for a distributed parameter model for the ionosphere

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
I. G. Rosen ; Dept. of Math., Univ. of Southern California, Los Angeles, CA, USA ; C. Wang ; G. Hajj ; X. Pi
more authors

A computational method for the estimation of the forces (drivers) which enter into the collisional plasma hydrodynamic equations for the ionosphere is developed. The ionospheric model used in this effort is for mid- and low-latitudes and consists of solving the continuity and momentum partial differential equations in four dimensions (three spatial dimensions and time) to compute the O+ density in the ionosphere and plasmasphere. We have developed codes for solving the forward model on a fixed grid and for solving the adjoint equations used in computing the gradients required for the estimation of the unknown driving forces. We describe our nonlinear least squares formulation of the data assimilation problem for the identification of the E×B drift and our development of the adjoint method for the computation of the requisite gradients

Published in:

Decision and Control, 2001. Proceedings of the 40th IEEE Conference on  (Volume:5 )

Date of Conference: