We review possibilities of introducing geostatistical concepts into the sequential assimilation of data into numerical models. The reduced rank square root filter and the ensemble Kalman filter are presented from this perspective. Con- tributions of geostatistics are discussed showing that sequential data assimilation is a promising area for the application of geostatistical techniques.