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.
