Abstract
Numerical simulation is an efficient tool to investigate oceans and atomospher phenomena. It is desirable to use observation data in the simulation. Data assimilation is used to get proper initial and boundary conditions for forecasting and producing four-dimensional (time and space) data of weather and climate. In this study four-dimensional variational method was used to obtain initial conditions and surface fluxes for an ocean general circulation model which produces a dynamically consistent seasonally varying climate data set.