Subject Code: CL5L303	Subject Name: Objective Analysis & Data Assimilation	L-T-P: 2-0-0	Credit: 2
Pre-requisite(s):  Nil
The observing systems: present & future, subjective and objective analysis, function fitting, method of successive correction, Statistical Interpolation; Univariate and multivariate analysis, dynamic and normal-mode initialization, variational methods, variational and ensemble based assimilation, Kalman filtering, sensitivity analysis, estimation theory, 3D-/4DVAR shallow water model and its adjoint, radar data assimilation basics, oceanic data assimilation at mesoscale and assimilation of altimetry data.
Text/Reference Books: Eugenia Kalnay. Atmospheric modeling, data assimilation, and predictability,  Cambridge University Press Arthur G., J.F. Kasper, R.A. Nash, C. F. Price., A. A. Sutherland. Applied Optimal Estimation, MIT Press Pierre P. Brasseur and Jacques C.J. Nihoul. Data Assimilation: Tools for Modelling the Ocean in a Global Change Perspective,  Springer