Summary of
toy system equations (for a scalar)
We use the model to forecast Tb and to update the forecast error variance from
to
At
The analysis is obtained by adding to the background the innovation (difference between the observation and the
first guess) multiplied by the optimal weight
The optimal weight is the background error variance
divided by the sum of the observation and the background error variance. ensures that the
magnitudes and units are correct.