Variational assimilation of remotely sensed flood extents using a 2-D flood model
100% Hide A variational data assimilation (4D-Var) method is proposed to directly assimilate flood extents into a 2-D dynamic flood model to explore a novel way of utilizing the rich source of remotely sensed data available from satellite imagery for better analyzing or predicting flood routing processes.For this purpose, a new cost function is spe