Abstract:

An algorithm is described for constructing a sequential estimation of atmospheric state parameters from sets of measurements made at different locations and time such as from an orbiting satellite. This method combines the equations that relate the measurements noise. The degree to which the set of estimates are related and how this can be adjusted is discussed. Examples of sequential estimation are applied to the recovery of mesospheric winds from measurements taken by the High Resolution Doppler Imager (HRDI). The quality of the estimates will depend on the magnitude of the measurement noise and the variability of the atmospheric state.