TITLE:

ESTIMATION OF IONOSPHERIC WEATHER USING DATA ASSIMILATION

DATE:

Friday, October 31st, 2008

TIME:

3:30 PM

LOCATION:

GMCS 214

SPEAKER:

Miguel Dumett, Jet Propulsion Laboratory, Caltech, NASA, University of Southern California, Department of Mathematics

ABSTRACT:

The presence of electrons and ions in the ionosphere affects wireless communication. Accurate predictions of ionospheric weather is a difficult task. I will present some details of a Global Assimilative Ionospheric Model (GAIM) based on physical principles that was developed by a JPL/USC team and its computational representation as well as introduce Kalman Filtering and 4DVar techniques that take advantage of observations to improve model predictions. Validation of the model and these assimilation techniques will be shown. This is a general talk that aims to present Kalman Filter and 4DVar methodologies in a particular application.

HOST:

Jose Castillo

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