 The irregularly spaced observations are processed by data assimilation and objective analysis methods, which perform quality control and obtain values at locations usable by the model's mathematical algorithms (usually an evenly spaced grid).The data are then used in the model as the starting point for a forecast.Commonly, the set of equations used to predict the physics and dynamics of the atmosphere are called primitive equations.