Techniques of data assimilation and forecasting

Background/Question/Methods: In this talk entitled "Dynamic data assimilation: an overview", we will provide a broad overview of tools and techniques relating to assimilating noisy data into models of interest in ecological studies. To get a better appreciation of the techniques, it is useful to divide the problems along the dimensions of models being static or dynamic and deterministic or stochastic [1].

Results/Conclusions: We will also discuss computational issues related data assimilation. [1] J. M. Lewis, S. Lakshmivarahan and S. K. Dhall (2006) Dynamic Data Assimilation: a least squares approach, Cambridge University Press, 654 pages.