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They can use adjoint models as a way to analyze sensitivity. Adjoint operators can be used for sets of equations that we do not normally call models. Tangent linear models are used to go backwards in time; instead of the standard way people would think which is moving forward in time. The article then goes on to give several examples of adjoint models being put to use. Sensitivity analysis can be a very helpful thing ? it can be used to figure out forecast model error and input and output variations, among other things. The main limitation is that the adjoint model must be used with the linearization that is valid, otherwise it will not work...
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