• In 3D-Var B
is assumed to be constant: it does not include “errors
of the day”
• 4D-Var is very expensive and does not provide the analysis error covariance.
• In Kalman Filtering B is
forecasted. It is like running the model N times, where N~106-8, so that it is impractical without simplifications