Continuous versus Discrete Advection Adjoints in Chemical Data Assimilation with CMAQ

  • Tianyi Goua, Adrian Sandua
  • Published 2011


Data assimilation obtains improved estimates of the state of a physical system by combining imperfect model results with sparse and noisy observations of reality. In the four dimensional variational (4D-Var) framework data assimilation is formulated as an optimization problem, which is solved using gradient based optimization methods. The 4D-Var gradient is… (More)


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