Variational data assimilation in the transport of sediment in river |
| |
Authors: | Junqing Yang F X LeDimet |
| |
Institution: | (1) Department of Mathematics, Wuhan University, 430072 Wuhan, China;(2) LMC-IMAG, BP 53X, 38041 Grenoble, France |
| |
Abstract: | The variational method of data assimilation is used to solve an inverse problem in the transport of sediment in river, which
plays an important role in the change of natural environment. The cost function is defined to measure the error between model
predictions and field observations. The adjoint model of IAP river sedimentation model is created to obtain the gradient of
the cost function with respect to control variables. The initial conditions are taken as the control variables; their optimal
values can be retrieved by minimizing the cost function with limited memory quasi-Newton method (LMQN). The results show that
the adjoint method approach can successfully make the model prediction well fit the simulated observations. And it is expected
to use this method to solve other inverse problems of river sedimentation. But some numerical problems need to be discussed
before applying to real river data.
Project partially supported by the State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid
Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences |
| |
Keywords: | data assimilation transport of sediment variational method |
本文献已被 SpringerLink 等数据库收录! |
|