Subject Code:: CL6L225	Name: Objective Analysis and Data Assimilation	L-T-P: 3-0-0	Credit:3
Pre-requisite(s):
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: 1. Eugenia Kalna:. Atmospheric modeling, data assimilation, and predictability, Cambridge University Press 2. Roger Daley: Atmospheric Data Analysis, Cambridge University Press 3. Pierre P. Brasseur and Jacques C.J. Nihoul. Data Assimilation: Tools for Modelling the Ocean in a Global Change Perspective, Springer