Understanding Assimilation Systems: How Models Create Their Initial Conditions - version 2

Understanding Assimilation Systems: How Models Create Their Initial Conditions - version 2
larrygeraragon30 2015-11-26 01:12:51

This module provides the most logical (being less technical with the mathematical/statistical computations) lecture in understanding the foundation of data assimilation system. I actually had attended one training about the theoretical foundation of the DA (3D & 4Dvar) and I got lost as the way it was discussed was highly mathematical/statistical (cost function minimization algorithm, error covariances etc.). Reading this module (though it took me days as this module was so thorough and informative) helped me understand more complicated stages of the DA system. If you're into understanding the holistic view of DA (especially if you're a researcher who is still new in the DA concept), start from this module.
jblaisdell 2013-07-28 20:51:11

This module is extremely thorough. It explains many nuances about why assimilation steps are done the way they are. The module is useful for those who work with analysis products as well as for operational forecasters. The colloquial descriptions in some sections are unusual for a subject which is usually presented using rigorous mathematics, and these informal sections are very helpful in building intuition. This is a difficult module covering a difficult subject well.
nispo 2012-12-23 12:18:18

I struggled with grasping this module initially. It is very in-depth and I would suppose very important for someone who is getting into forecast modeling. However, most of the time I was a little lost. I don't know if there is a better way to explain data assimilation, but I know I would have liked a more basic module that got the most important points across.