Abstract—Data Assimilation (DA) was a technique to improve the modelling forecasting ability. The measured data was blended with model background states in the DA process. Whether the model was robust to synthesize the measured data needs to be studied. In our research, Direct Insertion (DI) data assimilation was applied to update the model background states. In order to test the sensitivity of Direct Insertion data assimilation, five kinds of data assimilation model with different time interval were utilized. The influence of Direct Insertion data assimilation on surface layer was also studied. A small test area was chosen for data assimilation. Constant pseudo measurements were used to update the surface velocity components in data assimilation domain.

Index Terms—Data assimilation, direct insertion, sensitivity test, pseudo measurement.

The authors are with the Ryan Institute, National University of Ireland, Galway (e-mail: leirencomeon@gmail.com, michael.hartnett@nuigalway.ie, stephen.nash@nuigalway.ie).

Cite:Lei Ren, Michael Hartnett, and Stephen Nash, "Sensitivity Tests of Direct Insertion Data Assimilation with Pseudo Measurements," International Journal of Computer and Communication Engineering vol. 3, no. 6, pp. 460-463, 2014.