DATA ASSIMILATION (4D-VAR) FOR SHALLOW-WATER FLOW: THE CASE OF THE CHICOUTIMI RIVER

摘要

Data assimilation is a method which is needed to make more accurate short term forecast. We explain the 4D-VAR technique and apply it to the shallow-water equations. We tested the method in a degradation case and found that the 4D-VAR effectively reduces the error between the results of the simulation and the observations.