TY - JOUR
T1 - Estimation of spatially varying open boundary conditions for a numerical internal tidal model with adjoint method
AU - Chen, Haibo
AU - Cao, Anzhou
AU - Zhang, Jicai
AU - Miao, Chunbao
AU - Lv, Xianqing
PY - 2014
Y1 - 2014
N2 - The adjoint data assimilation technique is applied to the estimation of the spatially varying open boundary conditions (OBCs) for a numerical internal tidal model. The spatial variation of the OBCs is realized by the so-called 'independent point scheme' (IPS): a subset is chosen as the independent points from the full set of open boundary points and the OBCs are obtained through linear interpolation of the values at the independent points. A series of ideal experiments are carried out on a real topography to further test this assimilation model, and to numerically investigate some properties of the IPS. On the basis of the numerical results, it is shown that, in most cases, the use of the IPS can indeed effectively improve the precision of the estimation of the OBCs. Furthermore, if the independent points can be arranged reasonably the improvement may be remarkable. The IPS shows us a way to improve the estimation of the OBCs for this model.
AB - The adjoint data assimilation technique is applied to the estimation of the spatially varying open boundary conditions (OBCs) for a numerical internal tidal model. The spatial variation of the OBCs is realized by the so-called 'independent point scheme' (IPS): a subset is chosen as the independent points from the full set of open boundary points and the OBCs are obtained through linear interpolation of the values at the independent points. A series of ideal experiments are carried out on a real topography to further test this assimilation model, and to numerically investigate some properties of the IPS. On the basis of the numerical results, it is shown that, in most cases, the use of the IPS can indeed effectively improve the precision of the estimation of the OBCs. Furthermore, if the independent points can be arranged reasonably the improvement may be remarkable. The IPS shows us a way to improve the estimation of the OBCs for this model.
KW - Adjoint method
KW - Internal tidal model
KW - Open boundary conditions
KW - Parameter estimation
KW - Spatial variation
UR - https://www.scopus.com/pages/publications/84885170757
U2 - 10.1016/j.matcom.2013.08.005
DO - 10.1016/j.matcom.2013.08.005
M3 - 文章
AN - SCOPUS:84885170757
SN - 0378-4754
VL - 97
SP - 14
EP - 38
JO - Mathematics and Computers in Simulation
JF - Mathematics and Computers in Simulation
ER -